From 3351378b3c5d7b0247194d35b7189ebad61ba495 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 25 Jan 2024 20:01:58 +0100 Subject: [PATCH] EditData --- .../notebooks/04_Adding_Well_Logs.ipynb | 51 +- pyborehole/borehole.py | 252 +- test/data/Well_Tops.csv | 13 + test/data/dlis.dlis | Bin 0 -> 222394 bytes test/data/las.las | 2063 +++++++++++++++++ test/test_borehole.py | 850 ++++++- 6 files changed, 3160 insertions(+), 69 deletions(-) create mode 100644 test/data/Well_Tops.csv create mode 100644 test/data/dlis.dlis create mode 100644 test/data/las.las diff --git a/docs/source/notebooks/04_Adding_Well_Logs.ipynb b/docs/source/notebooks/04_Adding_Well_Logs.ipynb index 4262928..5bfa751 100644 --- a/docs/source/notebooks/04_Adding_Well_Logs.ipynb +++ b/docs/source/notebooks/04_Adding_Well_Logs.ipynb @@ -1276,7 +1276,7 @@ { "data": { "text/plain": [ - "False" + "True" ] }, "execution_count": 14, @@ -1334,6 +1334,55 @@ "id": "c03581e3-a056-4bfd-9d82-8b0017b9a201", "metadata": {}, "outputs": [], + "source": [ + "borehole" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e0a1a945-3cb2-4f61-9b52-ea5b9031d931", + "metadata": {}, + "outputs": [], + "source": [ + "borehole.crs_pyproj.srs" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "b282e7bb-a6a1-4d32-9fde-74d9935b8a43", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "The CRS of the borehole location must be provided as string or pyproject CRS", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[16], line 7\u001b[0m\n\u001b[0;32m 3\u001b[0m borehole \u001b[38;5;241m=\u001b[39m Borehole(name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mWeisweiler R1\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 5\u001b[0m borehole\u001b[38;5;241m.\u001b[39minit_properties(location\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m6.313031\u001b[39m, \u001b[38;5;241m50.835676\u001b[39m),\n\u001b[0;32m 6\u001b[0m crs\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mEPSG:4326\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 7\u001b[0m \u001b[43mborehole\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate_value\u001b[49m\u001b[43m(\u001b[49m\u001b[43mattribute\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mlocation\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m6\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m50\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcrs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m4326\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\Documents\\pybore\\pyborehole\\borehole.py:878\u001b[0m, in \u001b[0;36mBorehole.update_value\u001b[1;34m(self, attribute, value, crs, transform_coordinates)\u001b[0m\n\u001b[0;32m 876\u001b[0m \u001b[38;5;66;03m# Checking that the crs is provided as string or pyproj CRS\u001b[39;00m\n\u001b[0;32m 877\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(crs, (\u001b[38;5;28mstr\u001b[39m, pyproj\u001b[38;5;241m.\u001b[39mcrs\u001b[38;5;241m.\u001b[39mcrs\u001b[38;5;241m.\u001b[39mCRS, \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28;01mNone\u001b[39;00m))):\n\u001b[1;32m--> 878\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe CRS of the borehole location must be provided as string or pyproject CRS\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 880\u001b[0m \u001b[38;5;66;03m# Checking that the transform_coordinates is provided as bool\u001b[39;00m\n\u001b[0;32m 881\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(transform_coordinates, (\u001b[38;5;28mbool\u001b[39m, \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28;01mNone\u001b[39;00m))):\n", + "\u001b[1;31mTypeError\u001b[0m: The CRS of the borehole location must be provided as string or pyproject CRS" + ] + } + ], + "source": [ + "from pyborehole.borehole import Borehole\n", + "\n", + "borehole = Borehole(name='Weisweiler R1')\n", + "\n", + "borehole.init_properties(location=(6.313031, 50.835676),\n", + " crs='EPSG:4326')\n", + "borehole.update_value(attribute='location', value=(6, 50), crs=[4326])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cce9fc9c-e83c-4828-80fa-191eb35c1508", + "metadata": {}, + "outputs": [], "source": [] } ], diff --git a/pyborehole/borehole.py b/pyborehole/borehole.py index d2a4b95..e2107ed 100644 --- a/pyborehole/borehole.py +++ b/pyborehole/borehole.py @@ -41,6 +41,7 @@ class Borehole: ________ add_deviation : Add deviation to the Borehole Object. add_litholog : Add LithoLog to the Borehole Object. + add_well_design : Add Well Design to the Borehole Object. add_well_logs : Add Well Logs to the Borehole Object. add_well_tops : Add Well Tops to the Borehole Object. create_df : Create DataFrame from Borehole Object Attributes. @@ -86,6 +87,7 @@ def __init__(self, ________ add_deviation : Add deviation to the Borehole Object. add_litholog : Add LithoLog to the Borehole Object. + add_well_design : Add Well Design to the Borehole Object. add_well_logs : Add Well Logs to the Borehole Object. add_well_tops : Add Well Tops to the Borehole Object. create_df : Create DataFrame from Borehole Object Attributes. @@ -117,6 +119,9 @@ def __init__(self, self.location = None self.has_location = None + self.year = None + self.has_year = None + self.x = None self.y = None self.has_x = None @@ -150,12 +155,12 @@ def __init__(self, self.is_vertical = None - self.contractree = None + self.contractee = None self.drilling_contractor = None self.logging_contractor = None self.field = None self.project = None - self.has_contractree = None + self.has_contractee = None self.has_drilling_contractor = None self.has_logging_contractor = None self.has_field = None @@ -183,6 +188,8 @@ def __init__(self, self.has_litholog = False self.has_well_design = False + self.has_properties = False + # Creating borehole (Geo-)DataFrame self.df = None self.gdf = None @@ -229,6 +236,7 @@ def __repr__(self): def init_properties(self, address: str = None, location: Tuple[float, float] = None, + year: int = None, crs: Union[str, pyproj.crs.crs.CRS] = None, altitude_above_sea_level: Union[int, float] = None, altitude_above_kb: Union[int, float] = None, @@ -255,6 +263,8 @@ def init_properties(self, Address of the Borehole, e.g. ``address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland'``. location : tuple Coordinates tuple representing the location of the Borehole, e.g. ``location=(6.313031, 50.835676)``. + year : int + Year the borehole was drilled, e.g. ``year=2024``. crs : Union[str, pyproj.crs.crs.CRS] Coordinate Reference System of the coordinates, e.g. ``crs='EPSG:4326'``. altitude_above_sea_level : Union[int, float] @@ -327,6 +337,10 @@ def init_properties(self, if not isinstance(location, (tuple, type(None))): raise TypeError('The location of the borehole must be provided as tuple') + # Checking that the year is provided as int + if not isinstance(year, (int, type(None))): + raise TypeError('The year must be provided as int') + # Checking that the crs is provided as string or pyproj CRS if not isinstance(crs, (str, pyproj.crs.crs.CRS, type(None))): raise TypeError('The CRS of the borehole location must be provided as string or pyproject CRS') @@ -434,6 +448,13 @@ def init_properties(self, self.has_x = False self.has_y = False + if year: + self.year = year + self.has_year = True + else: + self.year = year + self.has_year = False + self.crs = crs if crs: self.crs_pyproj = CRS.from_user_input(self.crs) @@ -445,7 +466,7 @@ def init_properties(self, self.has_crs_pyproj = False self.altitude_above_sea_level = altitude_above_sea_level - self.altitude_above_kb = None + self.altitude_above_kb = altitude_above_kb if self.altitude_above_sea_level: self.has_altitude_above_sea_level = True @@ -515,9 +536,9 @@ def init_properties(self, self.end_logging = end_logging if contractee: - self.has_contractree = True + self.has_contractee = True else: - self.has_contractree = False + self.has_contractee = False if self.drilling_contractor: self.has_drilling_contractor = True @@ -576,6 +597,8 @@ def init_properties(self, self.df = self.create_df() self.properties = self.create_properties_df() + self.has_properties = True + def create_df(self): """Create DataFrame from Borehole Object Attributes. @@ -594,7 +617,7 @@ def create_df(self): >>> borehole.df Value ID DABO123456 - Name RWE EB1 + Name Weisweiler R1 Address Am Kraftwerk 17, 52249 Eschweiler, Germany Location POINT (6.313031 50.835676) X 6.313031 @@ -618,6 +641,7 @@ def create_df(self): 'Name': self.name, 'Address': self.address, 'Location': self.location, + 'Year': self.year, 'X': self.x, 'Y': self.y, 'Coordinate Reference System': self.crs, @@ -662,9 +686,14 @@ def create_properties_df(self): Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='Weisweiler R1') + >>> borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', location=(6.313031, 50.835676), crs='EPSG:4326', altitude_above_sea_level=136, borehole_id='DABO123456') >>> borehole.create_properties_df() >>> borehole.properties Value + ID True Name True Address True Location True @@ -675,6 +704,13 @@ def create_properties_df(self): Altitude above sea level True Altitude above KB False + See Also + ________ + create_df : Create DataFrame from Borehole Object Attributes. + to_gdf : Create GeoDataFrame from Borehole Object DataFrame. + update_df : Update Borehole Object DataFrame with data from data_dict. + update_value : Update attribute and value of Borehole Object DataFrame. + .. versionadded:: 0.0.1 """ # Creating dict from attributes @@ -682,6 +718,7 @@ def create_properties_df(self): 'Name': self.has_name, 'Address': self.has_address, 'Location': self.has_location, + 'Year': self.has_year, 'X': self.has_x, 'Y': self.has_y, 'Coordinate Reference System': self.has_crs, @@ -692,7 +729,7 @@ def create_properties_df(self): 'True Vertical Depth': self.has_tvd, 'True Vertical Depth Sub Sea': self.has_tvdss, 'Depth Unit': self.has_depth_unit, - 'Drilling Contractee': self.has_contractree, + 'Drilling Contractee': self.has_contractee, 'Drilling Contractor': self.has_drilling_contractor, 'Logging Contractor': self.has_logging_contractor, 'Field': self.has_field, @@ -717,7 +754,7 @@ def create_properties_df(self): def update_df(self, data_dict: dict): - """Update well Object DataFrame with data from data_dict. + """Update Borehole Object DataFrame with data from data_dict. Parameters __________ @@ -728,13 +765,21 @@ def update_df(self, ______ TypeError If the wrong input data types are provided. + ValueError + If the Borehole Properties have not been initiated. Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='Weisweiler R1') + >>> borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', location=(6.313031, 50.835676), crs='EPSG:4326', altitude_above_sea_level=136, borehole_id='DABO123456') + >>> borehole.create_df() >>> borehole.update_df(data_dict={'Date': 2023}) >>> borehole.df Value - Name RWE EB1 + ID DABO123456 + Name Weisweiler R1 Address Am Kraftwerk 17, 52249 Eschweiler, Germany Location POINT (6.313031 50.835676) X 6.313031 @@ -745,8 +790,19 @@ def update_df(self, Altitude above KB None Data 2023 + See Also + ________ + create_df : Create DataFrame from Borehole Object Attributes. + create_properties_df : Create Properties DataFrame from Borehole Object Attributes. + to_gdf : Create GeoDataFrame from Borehole Object DataFrame. + update_value : Update attribute and value of Borehole Object DataFrame. + .. versionadded:: 0.0.1 """ + # Checking that the properties have been initiated + if not self.has_properties: + raise ValueError('Borehole properties not initiated, use init_properties() to initiate properties') + # Checking that the data dict is a dict if not isinstance(data_dict, dict): raise TypeError('data_dict must be a dict') @@ -782,17 +838,33 @@ def update_value(self, ______ TypeError If the wrong input data types are provided. + ValueError + If the Borehole Properties have not been initiated. Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='RWE EB1') >>> borehole.name 'RWE EB1' >>> borehole.update_value(attribute='name', value='RWE EB2') >>> borehole.name 'RWE EB2' + See Also + ________ + create_df : Create DataFrame from Borehole Object Attributes. + create_properties_df : Create Properties DataFrame from Borehole Object Attributes. + to_gdf : Create GeoDataFrame from Borehole Object DataFrame. + update_df : Update Borehole Object DataFrame with data from data_dict. + .. versionadded:: 0.0.1 """ + # Checking that the properties have been initiated + if not self.has_properties: + raise ValueError('Borehole properties not initiated, use init_properties() to initiate properties') + # Checking that the attribute is of type string if not isinstance(attribute, str): raise TypeError('The attribute name must be provided as string') @@ -801,10 +873,6 @@ def update_value(self, if not isinstance(value, (int, float, str, tuple)): raise TypeError('The new value must be provided as int, float, or str') - # Checking that the crs is provided as string or pyproj CRS - if not isinstance(crs, (str, pyproj.crs.crs.CRS, type(None))): - raise TypeError('The CRS of the borehole location must be provided as string or pyproject CRS') - # Checking that the transform_coordinates is provided as bool if not isinstance(transform_coordinates, (bool, type(None))): raise TypeError('The transform_coordinates argument must be provided as bool') @@ -816,6 +884,7 @@ def update_value(self, vars(self)[attribute] = value vars(self)['has_' + attribute] = True + # Also changing the associated attributes with the location if attribute == 'location': value = Point(value) self.location = value @@ -827,9 +896,10 @@ def update_value(self, self.properties.loc['X', 'Value'] = True self.properties.loc['Y', 'Value'] = True + # Also changing the CRS properties if crs: # Checking that the crs is provided as string or pyproj CRS - if not isinstance(crs, (str, pyproj.crs.crs.CRS, type(None))): + if not isinstance(crs, (str, pyproj.crs.crs.CRS)): raise TypeError('The CRS of the borehole location must be provided as string or pyproject CRS') self.crs = crs @@ -840,8 +910,10 @@ def update_value(self, self.properties.loc['Coordinate Reference System', 'Value'] = True self.df.loc['Coordinate Reference System PyProj', 'Value'] = self.crs_pyproj self.properties.loc['Coordinate Reference System PyProj', 'Value'] = True - self.deviation.crs = self.crs + if self.has_deviation: + self.deviation.crs = self.crs + # Also changing the associated properties with the CRS if attribute == 'crs': self.crs = value self.has_crs = True @@ -851,8 +923,10 @@ def update_value(self, self.properties.loc['Coordinate Reference System', 'Value'] = True self.df.loc['Coordinate Reference System PyProj', 'Value'] = self.crs_pyproj self.properties.loc['Coordinate Reference System PyProj', 'Value'] = True - self.deviation.crs = self.crs + if self.has_deviation: + self.deviation.crs = self.crs + # Also transforming the coordinates if transform_coordinates: coords_new = self.to_gdf(crs=old_crs).to_crs(self.crs)['geometry'].loc[0] self.location = coords_new @@ -871,6 +945,7 @@ def update_value(self, 'name': 'Name', 'address': 'Address', 'location': 'Location', + 'year': 'Year', 'x': 'X', 'y': 'Y', 'crs': 'Coordinate Reference System', @@ -893,7 +968,6 @@ def update_value(self, 'end_logging': 'End Logging', } - # Replace value in DataFrame self.df.loc[df_indices_dict[attribute], 'Value'] = value self.properties.loc[df_indices_dict[attribute], 'Value'] = True @@ -910,16 +984,38 @@ def to_gdf(self, Returns _______ gpd.GeoDataFrame + GeoDataFrame of the Borehole Data Object DataFrame. + + Raises + ______ + TypeError + If the wrong input data types are provided. + ValueError + If the Borehole Properties have not been initiated. Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='Weisweiler R1') + >>> borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', location=(6.313031, 50.835676), crs='EPSG:4326', altitude_above_sea_level=136, borehole_id='DABO123456') + >>> borehole.create_df() >>> borehole.to_gdf() ID Name geometry 0 DABO123456 RWE EB1 POINT (6.31303 50.83568) + See Also + ________ + create_df : Create DataFrame from Borehole Object Attributes. + create_properties_df : Create Properties DataFrame from Borehole Object Attributes. + update_df : Update Borehole Object DataFrame with data from data_dict. + update_value : Update attribute and value of Borehole Object DataFrame. + .. versionadded:: 0.0.1 """ - + # Checking that the properties have been initiated + if not self.has_properties: + raise ValueError('Borehole properties not initiated, use init_properties() to initiate properties') # Checking that the crs is provided as string or pyproj CRS if not isinstance(crs, (str, pyproj.crs.crs.CRS, type(None))): @@ -932,7 +1028,7 @@ def to_gdf(self, if not crs: crs = df['Coordinate Reference System'].iloc[0] - # Create GeoDataFrame + # Creating GeoDataFrame self.gdf = gpd.GeoDataFrame(geometry=[df['Location'].iloc[0]], crs=crs, data=df) @@ -963,8 +1059,13 @@ def add_deviation(self, Column containing the dip values, e.g. ``dip_column='DIP'``. azimuth_column : str, default: ``'AZI'`` Column containing the azimuth values, e.g. ``azimuth_column='AZI'``. - add_origin: bool, default: ``True`` - Boolean value to add the location of the borehole to survey DataFrames. + add_origin : bool, default: ``True`` + Boolean value to add the location of the borehole to survey DataFrames, e.g. ``add_origin=True``. + + Returns + _______ + WellDeviation + Well Deviation Object. Raises ______ @@ -972,9 +1073,14 @@ def add_deviation(self, If the wrong input data types are provided. ValueError If the wrong column names are provided. + ValueError + If the Borehole Properties have not been initiated. Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='Weisweiler R1') >>> borehole.add_deviation(path='Deviation.csv', delimiter=';', md_column='MD', dip_column='DIP', azimuth_column='AZI') >>> borehole.deviation.deviation_df Measured Depth Inclination Azimuth @@ -982,8 +1088,19 @@ def add_deviation(self, 1 0.10 0.0 0.0 2 0.15 0.0 0.0 + See Also + ________ + add_litholog : Add LithoLog to the Borehole Object. + add_well_design : Add Well Design to the Borehole Object. + add_well_logs : Add Well Logs to the Borehole Object. + add_well_tops : Add Well Tops to the Borehole Object. + .. versionadded:: 0.0.1 """ + # Checking that the properties have been initiated + if not self.has_properties: + raise ValueError('Borehole properties not initiated, use init_properties() to initiate properties') + # Checking that the path is of type str or a Pandas DataFrame if not isinstance(path, (str, pd.DataFrame)): raise TypeError('path must be provided as string or Pandas DataFrame') @@ -1023,6 +1140,7 @@ def add_deviation(self, azimuth_column=azimuth_column, add_origin=add_origin) + # Setting Attributes self.has_deviation = True self.df.loc['Well Deviation', 'Value'] = self.has_deviation self.properties.loc['Well Deviation', 'Value'] = self.has_deviation @@ -1040,7 +1158,12 @@ def add_well_logs(self, path : str Path to the well log file, e.g. ``path='Well_Logs.las'``. nodata : Union[int, float], default: ``-9999`` - Nodata value to be replaces by `np.NaN`, e.g. ``nodata=-9999``. + Nodata value to be replaced by `np.NaN`, e.g. ``nodata=-9999``. + + Returns + _______ + WellLogs + Well Logs Object. Raises ______ @@ -1048,9 +1171,14 @@ def add_well_logs(self, If the wrong input data types are provided. ValueError If neither of the permitted file types are provided. + ValueError + If the Borehole Properties have not been initiated. Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='Weisweiler R1') >>> borehole.add_well_logs(path='Well_logs.las') >>> borehole.logs.well_header mnemonic unit value descr @@ -1067,8 +1195,19 @@ def add_well_logs(self, 10 DATE 26-Oct-2023 Date 11 UWI Unique Well ID + See Also + ________ + add_litholog : Add LithoLog to the Borehole Object. + add_well_design : Add Well Design to the Borehole Object. + add_deviation : Add Well Deviation to the Borehole Object. + add_well_tops : Add Well Tops to the Borehole Object. + .. versionadded:: 0.0.1 """ + # Checking that the properties have been initiated + if not self.has_properties: + raise ValueError('Borehole properties not initiated, use init_properties() to initiate properties') + # Checking that the path is of type string if not isinstance(path, str): raise TypeError('path must be provided as str') @@ -1082,14 +1221,19 @@ def add_well_logs(self, # Opening DLIS file if provided elif path.endswith('.dlis'): + + # Checking that the nodata value is of type int or float + if not isinstance(nodata, (int, float)): + raise TypeError('The nodata value must be of type int or float') + # Creating well logs from DLIS file self.logs = DLISLogs(self, path=path, nodata=nodata) - else: raise ValueError('Please provide a LAS file or DLIS file') + # Setting attributes self.has_logs = True self.df.loc['Well Logs', 'Value'] = self.has_logs @@ -1108,13 +1252,23 @@ def add_well_tops(self, unit : str Unit of the depth measurements, e.g. ``unit='m'``. + Returns + _______ + WellTops + Well Tops Object. + Raises ______ TypeError If the wrong input data types are provided. + ValueError + If the Borehole Properties have not been initiated. Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='Weisweiler R1') >>> borehole.add_well_tops(path='Well_Tops.csv', delimiter=';') >>> borehole.well_tops.df Top MD @@ -1123,8 +1277,19 @@ def add_well_tops(self, 2 Sand 1 28.5 3 Clay 32.0 + See Also + ________ + add_litholog : Add LithoLog to the Borehole Object. + add_well_design : Add Well Design to the Borehole Object. + add_deviation : Add Well Deviation to the Borehole Object. + add_well_logs : Add Well Logs to the Borehole Object. + .. versionadded:: 0.0.1 """ + # Checking that the properties have been initiated + if not self.has_properties: + raise ValueError('Borehole properties not initiated, use init_properties() to initiate properties') + # Checking that the path is of type string if not isinstance(path, str): raise TypeError('The path must be provided as str') @@ -1142,6 +1307,7 @@ def add_well_tops(self, delimiter=delimiter, unit=unit) + # Setting Attributes self.has_well_tops = True self.df.loc['Well Tops', 'Value'] = self.has_well_tops @@ -1157,13 +1323,23 @@ def add_litholog(self, delimiter : str, default: ``','`` Delimiter for the LithoLog file, e.g. ``delimiter=','``. + Returns + _______ + LithoLog + Litholog Object. + Raises ______ TypeError If the wrong input data types are provided. + ValueError + If the Borehole Properties have not been initiated. Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='Weisweiler R1') >>> borehole.add_litholog(path='LithoLog.csv', delimiter=';') >>> borehole.litholog.df Top MD @@ -1172,8 +1348,19 @@ def add_litholog(self, 2 Sand 1 28.5 3 Clay 32.0 + See Also + ________ + add_well_design : Add Well Design to the Borehole Object. + add_deviation : Add Well Deviation to the Borehole Object. + add_well_logs : Add Well Logs to the Borehole Object. + add_well_tops : Add Well Tops to the Borehole Object + .. versionadded:: 0.0.1 """ + # Checking that the properties have been initiated + if not self.has_properties: + raise ValueError('Borehole properties not initiated, use init_properties() to initiate properties') + # Checking that the path is of type string if not isinstance(path, str): raise TypeError('path must be provided as str') @@ -1191,10 +1378,23 @@ def add_litholog(self, self.df.loc['Litholog', 'Value'] = self.has_litholog def add_well_design(self): - """Add well design object to borehole. + """Add Well Design object to Borehole Object. + + Returns + _______ + WellDesign + Well Design Object. + + Raises + ______ + ValueError + If the Borehole Properties have not been initiated. Examples ________ + >>> import pyborehole + >>> from pyborehole.borehole import Borehole + >>> borehole = Borehole(name='Weisweiler R1') >>> borehole.add_well_design() >>> borehole.well_design Pipes: {} @@ -1202,9 +1402,13 @@ def add_well_design(self): .. versionadded:: 0.0.1 """ + # Checking that the properties have been initiated + if not self.has_properties: + raise ValueError('Borehole properties not initiated, use init_properties() to initiate properties') # Setting has well design variable self.has_well_design = True # Adding well design self.well_design = WellDesign(borehole=self) + self.df.loc['WellDesign', 'Value'] = self.has_well_design diff --git a/test/data/Well_Tops.csv b/test/data/Well_Tops.csv new file mode 100644 index 0000000..ab55d46 --- /dev/null +++ b/test/data/Well_Tops.csv @@ -0,0 +1,13 @@ +Top;MD +Infill;3 +Base Quaternary;9.5 +Sand 1;28.5 +Clay;32 +Sand 2;34 +Lignite 1;36 +Sand 3;44 +Lignite 2;45.2 +Sand/Clay;50 +GW Level;59 +Base Tertiary;70 +Upper Carb.;100 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zk!FHJW|ZT?$9`b#Hdl~NFrttsepT~jC>E(oV8wr~;r#!;hab;;7NQT=P)PA?F0U(a zTcj!h&psYFr_CoY6GHR9Z#6DbD-!G8HJon>R*WipueVg9-Pf+jKe&McelCZ|sjfQsqi(_4f zWRdzd?W???_T^5YAnBp7LVqT8A2W<&6+pB&9`e^D#rKS5sJOFg6fjq7 literal 0 HcmV?d00001 diff --git a/test/data/las.las b/test/data/las.las new file mode 100644 index 0000000..47b657e --- /dev/null +++ b/test/data/las.las @@ -0,0 +1,2063 @@ +################## LAS File Produced by ANTARES GeoBase ############### +# +#---------------------------------------------------------------------- +~Version Information Section +VERS. 2.0 :Log ASCII Standard Version 2.0 +WRAP. NO :One line per depth step +#---------------------------------------------------------------------- +~Well Information Section +STRT.M 100.000 :Log Start Depth +STOP.M 0.050 :Log Stop Depth +STEP.M -0.050 :Log Increment +NULL. -999.250 :Null Value +COMP. RWE Power :Company Name +WELL. EB 1 :Well Name +FLD . KW Weisweiler :Field Name +LOC . :Location +PROV. :Province +SRVC. :Service Company +DATE. 26-Oct-2023 :Date +UWI . :Unique Well ID +#---------------------------------------------------------------------- +~Other Information Section (Remarks) +#---------------------------------------------------------------------- +~Parameter Information Section +BHT . 20 degC :BHT +CVL . 5350 m/s :CasingVelocity +Ctry . NRW :Country +FLVT . 1500 m/s :FluidVelocity +LMFI . 0.6 G :MFieldIntensity +MUDD . 1.0 g/ccm :MudWeight +Recorded . Krämer :Engineer's Name +Run . 1 :Run Number +TIME . 20:59:35 :Time +Wittness . Herr Mamonov :Witness's Name +#---------------------------------------------------------------------- +~Curve Information Section +DEPT .M :Borehole Depth +BHT .degC :Borehole Temperature +DTEMP .degC :Differential Temperature +CONDUCTIVITY.mS/cm :Mud Conductivity +RMUD .Ohmm :Mud resistivity +CHT .kgf :Cable Head Tension +CALIPER .MM :Borehole Caliper +ZCOR .g/ccm :Density Correction from Pe-Density +ZDNC .g/ccm :Caliper corrected density from Pe-Density +PEFC .b/e :Borehole and formation corrected PE +RLL8C .Ohmm :LL8 Resistivity Borehole corrected +RLL8CX10 .Ohmm :LL8 Resistivity Borehole corrected +CLL8C .mS/m :LL8 Conductivity Borehole corrected +RILMC .Ohmm :Medium Resistivity Borehole corrected +RILDC .Ohmm :Deep Resistivity Borehole corrected +RILMCX10 .Ohmm :Medium Resistivity Borehole corrected +RILDCX10 .Ohmm :Deep Resistivity Borehole corrected +SGR .gAPI :Gamma Ray derived from Spectrum +TH .ppm :Thorium content from Spectrum Gamma +U .ppm :Uranium content from Spectrum Gamma +K .%wt :Potassium content from Spectrum Gamma +KTH .gAPI :Relative Potassium plus Thorium content +DIP .deg :Dip (manually added) +AZI .deg :Azimuth (manually added) +#---------------------------------------------------------------------- +# DEPT BHT DTEMP CONDUCTIVITY RMUD CHT CALIPER ZCOR ZDNC PEFC RLL8C RLL8CX10 CLL8C RILMC RILDC RILMCX10 RILDCX10 SGR TH U K KTH DIP AZI +~A Log Data Section + 100.000 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.950 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 -999.2500 -999.2500 3.0493 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.900 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 -999.2500 -999.2500 3.0352 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.850 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2468 2.4558 3.0212 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.800 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2540 2.4586 3.0071 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.750 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2601 2.4610 2.9935 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.700 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2597 2.4610 2.9819 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.650 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2585 2.4607 2.9710 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.600 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2533 2.4597 2.9633 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.550 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2496 2.4593 2.9559 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2542 2.4627 2.9503 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.450 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2591 2.4668 2.9450 41.7680 41.7680 23.9431 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.400 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2657 2.4753 2.9416 42.0850 42.0850 23.7617 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.350 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2716 2.4831 2.9379 41.8954 41.8954 23.8699 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.300 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2735 2.4872 2.9328 41.6367 41.6367 24.0175 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 0 0 + 99.250 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2746 2.4906 2.9284 41.1832 41.1832 24.2850 -999.2500 -999.2500 -999.2500 -999.2500 147.4467 15.6659 5.0888 2.9803 99.1997 0 0 + 99.200 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2709 2.4903 2.9281 40.7031 40.7031 24.5689 -999.2500 -999.2500 -999.2500 -999.2500 146.8225 15.8516 4.9974 2.9598 99.4619 0 0 + 99.150 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2678 2.4914 2.9286 40.6937 40.6937 24.5739 -999.2500 -999.2500 -999.2500 -999.2500 146.2060 16.1402 4.8526 2.9510 100.2477 0 0 + 99.100 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2673 2.4998 2.9334 40.7485 40.7485 24.5408 -999.2500 -999.2500 -999.2500 -999.2500 145.7209 16.3449 4.7512 2.9411 100.7447 0 0 + 99.050 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.7482 0.2685 2.5109 2.9395 40.6400 40.6400 24.6066 -999.2500 -999.2500 -999.2500 -999.2500 145.4326 16.3969 4.7203 2.9316 100.7564 0 0 + 99.000 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 171.9322 0.2780 2.5363 2.9520 40.5092 40.5092 24.6858 -999.2500 -999.2500 -999.2500 -999.2500 145.2520 16.4810 4.6525 2.9439 101.2292 0 0 + 98.950 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 172.3817 0.2851 2.5637 2.9702 40.1992 40.1992 24.8778 -999.2500 -999.2500 -999.2500 -999.2500 145.1848 16.5445 4.5947 2.9613 101.7187 0 0 + 98.900 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 177.0074 0.2793 2.6011 3.0181 39.8649 39.8649 25.0851 -999.2500 -999.2500 -999.2500 -999.2500 145.2251 16.5626 4.5710 2.9741 101.9860 0 0 + 98.850 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 187.7620 0.2740 2.6378 3.0743 39.5765 39.5765 25.2688 -999.2500 -999.2500 -999.2500 -999.2500 145.3626 16.4936 4.5674 2.9980 102.1543 0 0 + 98.800 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 195.4916 0.2718 2.6707 3.1746 39.2944 39.2944 25.4492 -999.2500 -999.2500 -999.2500 -999.2500 145.4670 16.3522 4.5619 3.0349 102.3030 0 0 + 98.750 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 195.6838 0.2679 2.6960 3.2823 39.7383 39.7383 25.1692 -999.2500 -999.2500 -999.2500 -999.2500 145.7417 16.1703 4.5819 3.0751 102.3753 0 0 + 98.700 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 195.9519 0.2547 2.6809 3.4296 40.2814 40.2814 24.8264 -999.2500 -999.2500 -999.2500 -999.2500 146.0894 15.9957 4.6135 3.1116 102.4098 0 0 + 98.650 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 196.4111 0.2288 2.6639 3.5781 40.4081 40.4081 24.7476 -999.2500 -999.2500 -999.2500 -999.2500 146.2587 15.8923 4.6222 3.1368 102.4895 0 0 + 98.600 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 197.4714 0.1357 2.6366 3.7336 40.4781 40.4781 24.7047 -999.2500 -999.2500 -999.2500 -999.2500 146.3337 15.7911 4.6220 3.1611 102.5612 0 0 + 98.550 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 200.0861 0.0570 2.6111 3.8844 40.1943 40.1943 24.8808 -999.2500 -999.2500 -999.2500 -999.2500 146.3533 15.6614 4.6177 3.1899 102.6141 0 0 + 98.500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 203.4814 0.0538 2.5954 4.0109 39.8622 39.8622 25.0868 29.1334 -999.2500 29.1334 -999.2500 145.8668 15.4971 4.5854 3.2109 102.4293 0 0 + 98.450 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 209.2529 0.0560 2.5836 4.1226 39.1720 39.1720 25.5374 29.1305 -999.2500 29.1305 -999.2500 145.2161 15.3556 4.5498 3.2194 102.1125 0 0 + 98.400 -999.2500 -999.2500 -999.2500 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52.0967 30.6736 52.0967 129.7264 12.4455 5.7004 2.1658 75.5059 0 0 + 93.800 18.2715 -0.0082 1.4972 6.6886 174.9522 222.4168 0.0463 2.5760 5.1159 44.2898 44.2898 22.5786 30.7212 52.3940 30.7212 52.3940 129.8598 12.3014 5.5186 2.3081 77.3693 0 0 + 93.750 18.2697 -0.0020 1.5029 6.6608 173.8444 224.0068 0.0243 2.5865 5.0149 44.5377 44.5377 22.4537 30.7921 52.6923 30.7921 52.6923 130.2430 12.0453 5.3758 2.4644 79.1024 0 0 + 93.700 18.2681 0.0011 1.5067 6.6423 173.9825 225.4864 0.0271 2.6269 4.8334 44.7975 44.7975 22.3228 30.8673 52.9932 30.8673 52.9932 130.7636 11.7738 5.2556 2.6189 80.7560 0 0 + 93.650 18.2666 -0.0039 1.5095 6.6282 174.5932 225.8826 0.0392 2.6663 4.6439 45.2900 45.2900 22.0829 30.9537 53.2904 30.9537 53.2904 131.3055 11.5506 5.1261 2.7708 82.5220 0 0 + 93.600 18.2653 -0.0068 1.5108 6.6212 177.3560 226.3241 0.1002 2.7007 4.4129 45.8142 45.8142 21.8279 31.0452 53.5782 31.0452 53.5782 131.9289 11.3743 5.0326 2.8976 84.0283 0 0 + 93.550 18.2641 -0.0043 1.5113 6.6176 178.9744 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4.7316 2.6219 86.5125 0 0 + 92.400 18.2460 -0.0004 1.4985 6.6750 185.7070 227.0054 -0.0125 2.6068 3.4723 52.1226 52.1226 19.1861 33.3711 59.6954 33.3711 59.6954 131.8840 13.9363 4.6270 2.6364 88.0046 0 0 + 92.350 18.2453 -0.0016 1.4948 6.6916 186.8864 226.6077 -0.0298 2.5867 3.4307 50.8119 50.8119 19.6955 33.4437 59.8709 33.4437 59.8709 132.2064 14.2215 4.5431 2.6499 89.1444 0 0 + 92.300 18.2447 -0.0029 1.4902 6.7129 182.7428 226.2446 -0.0562 2.5693 3.3835 49.4024 49.4024 20.2455 33.5176 60.1202 33.5176 60.1202 132.4858 14.3109 4.5473 2.6472 89.3871 0 0 + 92.250 18.2441 -0.0041 1.4850 6.7364 179.5935 226.2446 -0.0801 2.5572 3.3368 48.4572 48.4572 20.6435 33.5946 60.4344 33.5946 60.4344 132.5600 14.3227 4.5553 2.6448 89.3857 0 0 + 92.200 18.2435 -0.0032 1.4797 6.7608 180.9749 226.2446 -0.0915 2.5725 3.2936 47.5754 47.5754 21.0208 33.6600 60.9153 33.6600 60.9153 132.4936 14.3551 4.5430 2.6416 89.4386 0 0 + 92.150 18.2429 0.0030 1.4742 6.7857 182.1322 226.2446 -0.0924 2.5919 3.2603 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19.6958 35.6235 70.4909 35.6235 70.4909 124.2821 14.2189 2.9549 3.0959 96.4325 0 0 + 89.000 18.2014 0.0000 1.2743 7.8513 176.6481 220.5756 -0.0172 2.6172 3.6174 50.7980 50.7980 19.6858 35.7074 70.8737 35.7074 70.8737 123.8724 14.4709 2.7786 3.1253 97.7236 0 0 + 88.950 18.2007 0.0000 1.2790 7.8227 169.7475 218.0563 -0.0096 2.6062 3.6502 50.4449 50.4449 19.8249 35.7519 71.2528 35.7519 71.2528 123.5134 14.6107 2.6572 3.1473 98.5345 0 0 + 88.900 18.2001 -0.0007 1.2845 7.7900 171.6812 215.5929 0.0060 2.6108 3.6609 50.0403 50.0403 19.9842 35.7859 71.6227 35.7859 71.6227 123.3580 14.5894 2.6477 3.1475 98.4690 0 0 + 88.850 18.1993 -0.0032 1.2904 7.7552 173.2919 213.4236 0.0225 2.6184 3.6725 50.1135 50.1135 19.9548 35.7930 71.9373 35.7930 71.9373 123.2905 14.4960 2.7218 3.1181 97.6882 0 0 + 88.800 18.1986 -0.0047 1.2966 7.7188 173.4300 211.4685 0.0439 2.6415 3.6885 50.2519 50.2519 19.8998 35.8103 72.1099 35.8103 72.1099 123.2400 14.2703 2.8615 3.0770 96.2890 0 0 + 88.750 18.1978 -0.0034 1.3029 7.6817 173.5433 210.4441 0.0673 2.6608 3.7078 50.2978 50.2978 19.8816 35.8535 72.2124 35.8535 72.2124 123.1371 14.0102 3.0826 2.9919 94.0581 0 0 + 88.700 18.1971 -0.0018 1.3091 7.6457 173.5433 209.5079 0.1013 2.6609 3.7443 50.3310 50.3310 19.8685 35.8972 72.1348 35.8972 72.1348 123.1099 13.6902 3.3598 2.8900 91.3617 0 0 + 88.650 18.1963 0.0007 1.3153 7.6102 173.3443 208.9248 0.1234 2.6595 3.7819 50.0010 50.0010 20.0008 35.9419 72.0241 35.9419 72.0241 123.1964 13.4057 3.6290 2.7930 88.8580 0 0 + 88.600 18.1956 0.0021 1.3213 7.5759 172.2392 208.4625 0.0830 2.6504 3.8257 49.6213 49.6213 20.1529 35.9748 71.8282 35.9748 71.8282 123.2174 13.1766 3.8874 2.6875 86.3951 0 0 + 88.550 18.1948 0.0009 1.3273 7.5422 171.5819 208.4625 0.0480 2.6370 3.8722 49.5037 49.5037 20.2006 35.9774 71.6762 35.9774 71.6762 123.1419 13.0259 4.0962 2.5900 84.3147 0 0 + 88.500 18.1940 -0.0010 1.3336 7.5069 172.9632 208.4910 0.0416 2.6017 3.9331 49.4216 49.4216 20.2341 35.9668 71.6370 35.9668 71.6370 123.0113 12.9698 4.2398 2.5090 82.8087 0 0 + 88.450 18.1933 -0.0048 1.3402 7.4708 173.9714 208.6282 0.0316 2.5710 3.9974 49.3830 49.3830 20.2499 35.9224 71.6433 35.9224 71.6433 122.9174 13.0669 4.2983 2.4503 82.1608 0 0 + 88.400 18.1925 -0.0068 1.3475 7.4308 173.2808 208.7372 0.0027 2.5645 4.0794 49.3503 49.3503 20.2633 35.8782 71.7663 35.8782 71.7663 122.9392 13.3150 4.2900 2.4085 82.2758 0 0 + 88.350 18.1918 -0.0043 1.3553 7.3889 172.8637 208.7372 -0.0199 2.5577 4.1566 50.2322 50.2322 19.9154 35.8348 71.8772 35.8348 71.8772 122.9452 13.6340 4.2169 2.3899 82.9979 0 0 + 88.300 18.1910 -0.0015 1.3637 7.3438 173.6924 208.7372 -0.0096 2.5496 4.2079 51.2387 51.2387 19.5183 35.8085 71.9568 35.8085 71.9568 122.9012 13.7918 4.1896 2.3727 83.2248 0 0 + 88.250 18.1903 0.0023 1.3724 7.2971 174.3472 208.7372 -0.0015 2.5500 4.2579 51.0516 51.0516 19.5889 35.8266 72.0150 35.8266 72.0150 122.7219 13.8977 4.1211 2.3813 83.7065 0 0 + 88.200 18.1895 0.0039 1.3813 7.2500 174.2090 208.7655 -0.0053 2.5954 4.3011 50.7016 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2.2604 0.0135 0.1481 9.7007 0 0 + 14.850 19.7228 0.0000 1.9454 5.1409 179.6651 226.1261 -2.2024 1.9301 14.1670 0.4976 0.4976 2010.8474 -999.2500 4.1635 -999.2500 4.1635 6.6673 2.3054 0.0000 0.1393 9.7025 0 0 + 14.800 19.7231 -0.0004 1.9460 5.1392 182.9803 226.2474 -2.1344 1.9667 13.3788 0.4846 0.4846 2063.6887 -999.2500 4.2708 -999.2500 4.2708 6.5222 2.2735 0.0000 0.1331 9.4977 0 0 + 14.750 19.7234 -0.0016 1.9461 5.1387 185.6987 226.2474 -2.0694 1.9872 12.6393 0.4849 0.4849 2062.1982 -999.2500 4.3592 -999.2500 4.3592 6.3556 2.1637 0.0090 0.1339 9.1582 0 0 + 14.700 19.7237 -0.0011 1.9456 5.1402 185.6987 226.2474 -2.0196 1.9235 12.1553 0.4870 0.4870 2053.2969 -999.2500 4.3990 -999.2500 4.3990 6.2030 1.9739 0.0443 0.1360 8.5801 0 0 + 14.650 19.7241 0.0039 1.9447 5.1424 185.0026 226.2474 -2.0045 1.8731 11.7268 0.4970 0.4970 2013.1476 -999.2500 4.4029 -999.2500 4.4029 6.0990 1.7158 0.1088 0.1383 7.7868 0 0 + 14.600 19.7246 0.0061 1.9436 5.1454 181.1350 226.2474 -2.1713 1.8926 11.5893 0.5080 0.5080 1968.7379 -999.2500 4.3144 -999.2500 4.3144 6.0135 1.4277 0.1858 0.1406 6.8982 0 0 + 14.550 19.7250 0.0011 1.9423 5.1487 178.8336 226.2474 -2.2782 1.9082 11.4982 0.5157 0.5157 1939.3855 -999.2500 4.2323 -999.2500 4.2323 5.9526 1.1414 0.2739 0.1388 5.9464 0 0 + 14.500 19.7256 -0.0021 1.9411 5.1518 183.6682 226.2474 -2.0704 1.9035 11.6510 0.5230 0.5230 1912.0872 -999.2500 4.1667 -999.2500 4.1667 5.9197 0.8523 0.3689 0.1360 4.9701 0 0 + 14.450 19.7262 -0.0009 1.9400 5.1549 186.9613 226.2474 -1.9029 1.9188 11.8380 0.5282 0.5282 1893.2957 -999.2500 4.1152 -999.2500 4.1152 5.9152 0.6717 0.4455 0.1263 4.2299 0 0 + 14.400 19.7269 0.0003 1.9391 5.1570 183.2318 226.2474 -1.9464 2.0399 12.2041 0.5332 0.5332 1875.6644 -999.2500 4.1002 -999.2500 4.1002 5.9165 0.6289 0.4704 0.1207 3.9992 0 0 + 14.350 19.7276 0.0016 1.9385 5.1587 179.6515 226.2474 -1.9735 2.1483 12.6114 0.5354 0.5354 1867.8097 -999.2500 4.0803 -999.2500 4.0803 5.9238 0.6393 0.4894 0.1092 3.8455 0 0 + 14.300 19.7283 0.0028 1.9382 5.1594 176.7507 226.2474 -1.9144 2.1901 13.2348 0.5373 0.5373 1861.2882 -999.2500 4.0479 -999.2500 4.0479 5.8694 0.7185 0.4678 0.1024 3.9894 0 0 + 14.250 19.7291 0.0041 1.9382 5.1596 174.6704 226.2474 -1.8577 2.2577 13.8790 0.5279 0.5279 1894.9485 -999.2500 4.0222 -999.2500 4.0222 5.8210 0.8319 0.4328 0.0973 4.2705 0 0 + 14.200 19.7298 0.0040 1.9384 5.1591 176.3280 226.2589 -1.8133 2.4614 14.6318 0.5171 0.5171 1934.0896 -999.2500 4.0141 -999.2500 4.0141 5.7886 0.9298 0.4124 0.0884 4.4393 0 0 + 14.150 19.7307 0.0002 1.9387 5.1583 177.3391 226.3915 -1.7352 2.6595 15.3959 0.4955 0.4955 2022.4907 -999.2500 4.0480 -999.2500 4.0480 5.7570 1.0338 0.3880 0.0806 4.6473 0 0 + 14.100 19.7315 -0.0022 1.9391 5.1570 175.4053 226.5129 -1.4796 2.8284 16.2193 0.4725 0.4725 2117.6082 -999.2500 4.1898 -999.2500 4.1898 5.6850 1.1250 0.3447 0.0819 4.9622 0 0 + 14.050 19.7323 -0.0009 1.9397 5.1557 173.7449 226.5129 -1.2678 2.9530 17.0386 0.4462 0.4462 2249.4121 -999.2500 4.3549 -999.2500 4.3549 5.5990 1.1402 0.3224 0.0842 5.0482 0 0 + 14.000 19.7331 0.0011 1.9402 5.1542 173.3305 226.5129 -1.2861 2.8455 17.8360 0.4194 0.4194 2386.2200 -999.2500 4.5795 -999.2500 4.5795 5.5209 1.1079 0.3189 0.0853 4.9630 0 0 + 13.950 19.7338 0.0048 1.9408 5.1527 173.7118 226.5129 -1.3780 2.7127 18.6111 0.4108 0.4108 2434.6404 -999.2500 4.7762 -999.2500 4.7762 5.4540 1.0283 0.3335 0.0860 4.7182 0 0 + 13.900 19.7345 0.0065 1.9409 5.1523 177.7175 226.5129 -1.8559 2.4467 19.2691 0.4047 0.4047 2471.0071 -999.2500 4.9009 -999.2500 4.9009 5.3663 0.9047 0.3540 0.0896 4.3792 0 0 + 13.850 19.7352 0.0027 1.9409 5.1523 180.3808 226.5129 -2.2657 2.2052 19.8831 0.4124 0.4124 2425.8672 -999.2500 4.9632 -999.2500 4.9632 5.2775 0.7858 0.3666 0.0965 4.1089 0 0 + 13.800 19.7358 0.0004 1.9404 5.1538 176.9275 226.5016 -2.3182 2.0922 20.2660 0.4221 0.4221 2369.6106 -999.2500 4.8647 -999.2500 4.8647 5.1985 0.6869 0.3735 0.1037 3.9085 0 0 + 13.750 19.7363 0.0016 1.9396 5.1560 174.0212 226.3688 -2.3198 2.0188 20.6329 0.4396 0.4396 2278.6433 -999.2500 4.7440 -999.2500 4.7440 5.1470 0.5714 0.3939 0.1089 3.6216 0 0 + 13.700 19.7367 0.0015 1.9382 5.1598 173.6068 226.2474 -2.0539 2.1540 20.9164 0.4583 0.4583 2182.9414 -999.2500 4.5665 -999.2500 4.5665 5.1093 0.4360 0.4208 0.1152 3.2887 0 0 + 13.650 19.7370 -0.0023 1.9365 5.1642 173.8886 226.2474 -1.8248 2.2948 21.1699 0.4765 0.4765 2101.5388 -999.2500 4.4258 -999.2500 4.4258 5.0647 0.3547 0.4264 0.1229 3.1522 0 0 + 13.600 19.7374 -0.0036 1.9346 5.1694 177.3418 226.2474 -1.7882 2.4657 21.2666 0.4947 0.4947 2022.0876 -999.2500 4.3800 -999.2500 4.3800 5.0050 0.3412 0.4072 0.1306 3.2360 0 0 + 13.550 19.7376 0.0014 1.9325 5.1750 180.0244 226.2474 -1.7385 2.5868 21.3264 0.5003 0.5003 1998.7571 -999.2500 4.3670 -999.2500 4.3670 4.9654 0.4556 0.3489 0.1386 3.7338 0 0 + 13.500 19.7379 0.0036 1.9305 5.1802 179.1956 226.2474 -1.6195 2.4467 21.1932 0.5043 0.5043 1983.0815 -999.2500 4.4387 -999.2500 4.4387 4.9276 0.6198 0.2761 0.1456 4.3776 0 0 + 13.450 19.7382 -0.0014 1.9286 5.1853 178.0187 226.2474 -1.5636 2.3091 21.0234 0.5040 0.5040 1984.0796 -999.2500 4.5020 -999.2500 4.5020 4.8855 0.7991 0.1967 0.1532 5.0794 0 0 + 13.400 19.7386 -0.0036 1.9273 5.1889 175.2561 226.2474 -1.8396 2.1844 20.6620 0.5032 0.5032 1987.3514 -999.2500 4.5441 -999.2500 4.5441 4.8458 0.9883 0.1127 0.1617 5.8277 0 0 + 13.350 19.7390 0.0014 1.9262 5.1918 173.8857 226.2474 -2.0618 2.0626 20.2684 0.4971 0.4971 2012.0653 -999.2500 4.5756 -999.2500 4.5756 4.8149 1.1971 0.0297 0.1670 6.5861 0 0 + 13.300 19.7395 0.0043 1.9256 5.1932 178.8585 226.2475 -2.0018 1.9562 19.7057 0.4903 0.4903 2039.7040 -999.2500 4.5800 -999.2500 4.5800 4.8918 1.3595 0.0000 0.1606 7.0051 0 0 + 13.250 19.7400 0.0018 1.9254 5.1939 181.8919 226.2489 -1.9316 1.8650 19.1129 0.4852 0.4852 2061.3359 -999.2500 4.5779 -999.2500 4.5779 4.9999 1.4733 0.0000 0.1494 7.1886 0 0 + 13.200 19.7406 0.0000 1.9256 5.1933 176.0904 226.2386 -1.8076 1.8524 18.3622 0.4803 0.4803 2082.1484 -999.2500 4.5589 -999.2500 4.5589 5.1065 1.5636 0.0000 0.1423 7.3620 0 0 + 13.150 19.7413 0.0000 1.9261 5.1921 171.4575 226.1052 -1.7257 1.8381 17.5974 0.4825 0.4825 2072.4307 -999.2500 4.5292 -999.2500 4.5292 5.0997 1.4288 0.0000 0.1654 7.3068 0 0 + 13.100 19.7420 0.0003 1.9268 5.1903 172.1481 225.9835 -1.8649 1.8141 16.7583 0.4858 0.4858 2058.5493 -999.2500 4.4716 -999.2500 4.4716 5.0616 1.2132 0.0000 0.2002 7.1820 0 0 + 13.050 19.7427 0.0016 1.9275 5.1882 173.2366 225.9835 -1.9814 1.7873 15.9291 0.4891 0.4891 2044.6035 -999.2500 4.4101 -999.2500 4.4101 5.1111 1.1187 0.0000 0.2209 7.2157 0 0 + 13.000 19.7435 0.0028 1.9278 5.1876 176.1373 225.9835 -1.9783 1.7462 15.1527 0.4925 0.4925 2030.6490 -999.2500 4.3387 -999.2500 4.3387 5.2088 1.1087 0.0000 0.2306 7.3430 0 0 + 12.950 19.7442 0.0041 1.9278 5.1876 178.6651 225.9835 -1.9683 1.7158 14.4176 0.4941 0.4941 2023.9218 -999.2500 4.2870 -999.2500 4.2870 5.3077 1.1281 0.0000 0.2353 7.4819 0 0 + 12.900 19.7449 0.0047 1.9271 5.1897 179.4939 225.9835 -1.9211 1.7417 13.8991 0.4955 0.4955 2018.1802 -999.2500 4.2863 -999.2500 4.2863 5.4095 1.1766 0.0004 0.2349 7.6311 0 0 + 12.850 19.7456 0.0034 1.9259 5.1928 180.2978 225.9835 -1.8824 1.7696 13.4495 0.4938 0.4938 2025.0891 -999.2500 4.3102 -999.2500 4.3102 5.5381 1.1722 0.0590 0.2147 7.2872 0 0 + 12.800 19.7463 0.0015 1.9240 5.1980 180.9885 225.9952 -1.8881 1.8078 13.3615 0.4917 0.4917 2033.7234 -999.2500 4.3974 -999.2500 4.3974 5.6280 1.1281 0.1239 0.1951 6.8234 0 0 + 12.750 19.7468 -0.0023 1.9218 5.2041 182.5991 226.1270 -1.8877 1.8429 13.3461 0.4951 0.4951 2019.8593 -999.2500 4.4788 -999.2500 4.4788 5.6670 1.0856 0.1729 0.1794 6.4309 0 0 + 12.700 19.7474 -0.0040 1.9192 5.2110 188.4005 226.2474 -1.8547 1.8611 13.7111 0.4993 0.4993 2002.9261 -999.2500 4.5454 -999.2500 4.5454 5.6743 1.0839 0.2085 0.1613 6.1282 0 0 + 12.650 19.7479 -0.0002 1.9165 5.2183 191.7406 226.2474 -1.8272 1.8785 14.1227 0.5064 0.5064 1975.1560 -999.2500 4.5850 -999.2500 4.5850 5.6373 1.0827 0.2367 0.1433 5.8308 0 0 + 12.600 19.7484 0.0022 1.9142 5.2247 183.8672 226.2474 -1.8279 1.8908 14.7780 0.5139 0.5139 1945.9086 -999.2500 4.5550 -999.2500 4.5550 5.5497 0.9704 0.2859 0.1295 5.2436 0 0 + 12.550 19.7490 0.0009 1.9120 5.2305 177.7590 226.2474 -1.8340 1.9036 15.4665 0.5217 0.5217 1917.3844 -999.2500 4.5197 -999.2500 4.5197 5.4571 0.8687 0.3204 0.1213 4.7822 0 0 + 12.500 19.7495 0.0007 1.9108 5.2339 179.6928 226.2474 -1.8688 1.9188 16.3288 0.5294 0.5294 1888.9590 -999.2500 4.4710 -999.2500 4.4710 5.3484 0.7900 0.3332 0.1195 4.4983 0 0 + 12.450 19.7500 0.0032 1.9100 5.2361 181.8753 226.2474 -1.8925 1.9330 17.1906 0.5611 0.5611 1788.8466 -999.2500 4.4179 -999.2500 4.4179 5.2290 0.7397 0.3298 0.1204 4.3507 0 0 + 12.400 19.7505 0.0047 1.9105 5.2347 185.1904 226.2474 -1.8573 1.9425 18.0500 0.5961 0.5961 1678.9578 -999.2500 4.3534 -999.2500 4.3534 5.1032 0.8021 0.2876 0.1217 4.5741 0 0 + 12.350 19.7509 0.0034 1.9116 5.2316 187.3370 226.2474 -1.8271 1.9437 18.8614 0.6323 0.6323 1586.5146 -999.2500 4.2969 -999.2500 4.2969 4.9790 0.9428 0.2204 0.1229 5.0463 0 0 + 12.300 19.7513 0.0015 1.9136 5.2263 184.1600 226.2474 -1.8231 1.9018 19.4212 0.6687 0.6687 1496.4487 -999.2500 4.2607 -999.2500 4.2607 4.8677 1.1050 0.1431 0.1267 5.6306 0 0 + 12.250 19.7517 -0.0023 1.9159 5.2200 181.6543 226.2474 -1.8374 1.8623 19.9240 0.6599 0.6599 1516.0759 -999.2500 4.2525 -999.2500 4.2525 4.7891 1.2553 0.0807 0.1273 6.1245 0 0 + 12.200 19.7521 -0.0040 1.9188 5.2123 182.2068 226.2474 -1.9477 1.8351 20.1282 0.6450 0.6450 1550.6628 -999.2500 4.3164 -999.2500 4.3164 4.6852 1.3727 0.0323 0.1241 6.4498 0 0 + 12.150 19.7525 -0.0002 1.9219 5.2039 183.2814 226.2474 -2.0279 1.8081 20.2759 0.5979 0.5979 1685.0690 -999.2500 4.4336 -999.2500 4.4336 4.6072 1.4497 0.0057 0.1185 6.6059 0 0 + 12.100 19.7529 0.0022 1.9248 5.1961 186.7347 226.2474 -1.9492 1.7827 20.1278 0.5465 0.5465 1833.0852 -999.2500 4.6878 -999.2500 4.6878 4.5597 1.4618 0.0086 0.1109 6.5208 0 0 + 12.050 19.7532 0.0009 1.9276 5.1885 189.3426 226.2474 -1.8811 1.7688 19.9193 0.5105 0.5105 1967.4666 -999.2500 4.9779 -999.2500 4.9779 4.5061 1.4334 0.0208 0.1049 6.3322 0 0 + 12.000 19.7536 0.0004 1.9296 5.1832 188.0995 226.2589 -1.8685 1.8159 19.3937 0.4767 0.4767 2099.9878 -999.2500 5.3599 -999.2500 5.3599 4.4373 1.3799 0.0387 0.0992 6.0654 0 0 + 11.950 19.7541 0.0016 1.9312 5.1790 186.0607 226.3915 -1.8547 1.8574 18.8205 0.4647 0.4647 2152.6238 -999.2500 5.7020 -999.2500 5.7020 4.3900 1.3349 0.0553 0.0943 5.8413 0 0 + 11.900 19.7545 0.0022 1.9315 5.1781 180.3973 226.5129 -1.8346 1.8694 17.9983 0.4558 0.4558 2194.3652 -999.2500 5.9412 -999.2500 5.9412 4.3417 1.3022 0.0662 0.0902 5.6694 0 0 + 11.850 19.7550 0.0009 1.9314 5.1786 177.0212 226.5129 -1.8214 1.8852 17.1634 0.4631 0.4631 2160.4475 -999.2500 6.0321 -999.2500 6.0321 4.3419 1.2672 0.0885 0.0844 5.4619 0 0 + 11.800 19.7555 0.0004 1.9299 5.1824 184.0659 226.5016 -1.8441 1.9210 16.2619 0.4726 0.4726 2116.2104 -999.2500 5.7417 -999.2500 5.7417 4.3621 1.2261 0.1135 0.0799 5.2557 0 0 + 11.750 19.7560 0.0016 1.9279 5.1878 189.1216 226.3688 -1.8572 1.9634 15.3587 0.5021 0.5021 1999.4949 -999.2500 5.3987 -999.2500 5.3987 4.4155 1.1666 0.1566 0.0717 4.9289 0 0 + 11.700 19.7565 0.0022 1.9251 5.1953 185.1158 226.2474 -1.8197 2.0397 14.4467 0.5344 0.5344 1872.8948 -999.2500 4.9204 -999.2500 4.9204 4.4946 1.1253 0.2005 0.0619 4.6356 0 0 + 11.650 19.7571 0.0009 1.9220 5.2039 181.8559 226.2474 -1.7716 2.1169 13.5483 0.5662 0.5662 1771.4711 -999.2500 4.5173 -999.2500 4.5173 4.5886 1.0753 0.2461 0.0539 4.3437 0 0 + 11.600 19.7577 -0.0004 1.9186 5.2129 181.9941 226.2359 -1.6679 2.1984 12.7218 0.5980 0.5980 1673.4828 -999.2500 4.3077 -999.2500 4.3077 4.6927 1.0747 0.2781 0.0453 4.2021 0 0 + 11.550 19.7583 -0.0016 1.9152 5.2222 181.9830 226.1029 -1.5805 2.2673 11.9258 0.6147 0.6147 1627.6115 -999.2500 4.1669 -999.2500 4.1669 4.8220 1.1074 0.3116 0.0322 4.0923 0 0 + 11.500 19.7589 -0.0011 1.9119 5.2310 181.2924 225.9817 -1.5785 2.2707 11.2901 0.6295 0.6295 1588.8494 -999.2500 4.2027 -999.2500 4.2027 4.9706 1.0931 0.3573 0.0224 3.8853 0 0 + 11.450 19.7595 0.0039 1.9087 5.2395 180.4774 225.9817 -1.5903 2.2665 10.6997 0.6309 0.6309 1585.1096 -999.2500 4.2503 -999.2500 4.2503 5.1147 1.0590 0.4090 0.0124 3.6130 0 0 + 11.400 19.7600 0.0065 1.9059 5.2472 179.0961 225.9817 -1.6754 2.2232 10.3474 0.6305 0.6305 1586.1461 -999.2500 4.3278 -999.2500 4.3278 5.2973 1.0411 0.4604 0.0029 3.4005 0 0 + 11.350 19.7606 0.0027 1.9032 5.2546 178.7838 225.9817 -1.7406 2.1791 10.0506 0.6118 0.6118 1636.3575 -999.2500 4.3850 -999.2500 4.3850 5.4616 1.0011 0.5040 0.0000 3.2235 0 0 + 11.300 19.7611 0.0000 1.9008 5.2612 183.3422 225.9817 -1.7020 2.1304 10.0452 0.5907 0.5907 1693.2766 -999.2500 4.3894 -999.2500 4.3894 5.6017 0.9335 0.5476 0.0000 3.0057 0 0 + 11.250 19.7616 0.0000 1.8985 5.2676 187.1298 225.9817 -1.6692 2.0769 10.1163 0.5720 0.5720 1749.9816 -999.2500 4.3870 -999.2500 4.3870 5.7469 0.8448 0.5988 0.0000 2.7202 0 0 + 11.200 19.7620 0.0000 1.8966 5.2726 187.4060 225.9817 -1.6670 1.9979 10.5882 0.5536 0.5536 1806.6573 -999.2500 4.3671 -999.2500 4.3671 5.8832 0.7358 0.6553 0.0000 2.3692 0 0 + 11.150 19.7624 0.0000 1.8950 5.2770 186.0165 225.9817 -1.6911 1.9169 11.0928 0.5491 0.5491 1821.1478 -999.2500 4.3422 -999.2500 4.3422 6.0496 0.6197 0.7188 0.0000 1.9954 0 0 + 11.100 19.7627 0.0004 1.8936 5.2809 177.0381 225.9699 -1.8533 1.8252 11.7688 0.5465 0.5465 1829.8853 -999.2500 4.3050 -999.2500 4.3050 6.1813 0.5185 0.7691 0.0016 1.6956 0 0 + 11.050 19.7630 0.0016 1.8923 5.2845 170.3966 225.8368 -1.9934 1.7565 12.4500 0.5442 0.5442 1837.5607 -999.2500 4.2613 -999.2500 4.2613 6.2789 0.4063 0.8141 0.0051 1.3923 0 0 + 11.000 19.7634 0.0018 1.8913 5.2875 174.4024 225.7279 -2.0169 1.8081 13.1583 0.5420 0.5420 1845.0913 -999.2500 4.2008 -999.2500 4.2008 6.3423 0.3340 0.8362 0.0112 1.2591 0 0 + 10.950 19.7637 -0.0007 1.8903 5.2902 178.4579 225.8616 -1.9967 1.8717 13.8521 0.5343 0.5343 1872.0826 -999.2500 4.1558 -999.2500 4.1558 6.3817 0.3016 0.8437 0.0161 1.2351 0 0 + 10.900 19.7640 -0.0022 1.8895 5.2924 182.7400 225.9835 -1.7470 1.9989 14.4704 0.5259 0.5259 1901.7278 -999.2500 4.1503 -999.2500 4.1503 6.4109 0.3163 0.8406 0.0176 1.3056 0 0 + 10.850 19.7643 -0.0009 1.8888 5.2945 185.2568 225.9835 -1.5422 2.1087 15.0614 0.5201 0.5201 1922.9980 -999.2500 4.1582 -999.2500 4.1582 6.4076 0.3909 0.8166 0.0170 1.5372 0 0 + 10.800 19.7647 0.0007 1.8881 5.2964 179.7316 225.9835 -1.5730 2.1270 15.5097 0.5146 0.5146 1943.1266 -999.2500 4.2005 -999.2500 4.2005 6.3858 0.4484 0.8016 0.0132 1.6592 0 0 + 10.750 19.7651 0.0032 1.8874 5.2984 175.8224 225.9835 -1.6355 2.1247 15.9315 0.5201 0.5201 1923.0417 -999.2500 4.2480 -999.2500 4.2480 6.4033 0.5220 0.7812 0.0126 1.8875 0 0 + 10.700 19.7656 0.0036 1.8866 5.3007 179.2757 225.9835 -1.8650 2.0143 16.2140 0.5270 0.5270 1897.4728 -999.2500 4.3088 -999.2500 4.3088 6.4183 0.6261 0.7513 0.0116 2.2051 0 0 + 10.650 19.7660 -0.0014 1.8857 5.3032 182.5052 225.9835 -2.0596 1.9033 16.4836 0.5369 0.5369 1863.2007 -999.2500 4.3759 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-999.2500 -999.2500 30.8510 3.8350 2.4317 0.5428 21.2283 0 0 + 2.900 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 30.7996 3.3945 2.5588 0.5479 19.8940 0 0 + 2.850 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 30.6295 2.9526 2.6708 0.5517 18.5327 0 0 + 2.800 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 30.3649 2.4927 2.7833 0.5506 17.0346 0 0 + 2.750 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 30.0186 2.0368 2.8847 0.5482 15.5261 0 0 + 2.700 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 29.6247 1.6233 2.9692 0.5434 14.1170 0 0 + 2.650 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 29.1516 1.3500 3.0040 0.5342 13.0860 0 0 + 2.600 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 28.6617 1.2010 2.9985 0.5233 12.4282 0 0 + 2.550 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 28.1864 1.2152 2.9360 0.5155 12.3456 0 0 + 2.500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 27.7450 1.4670 2.7977 0.5093 13.0551 0 0 + 2.450 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 27.3031 1.8747 2.5958 0.5097 14.3748 0 0 + 2.400 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 26.8652 2.3746 2.3323 0.5273 16.2720 0 0 + 2.350 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 26.4239 2.9212 2.0427 0.5503 18.4089 0 0 + 2.300 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 26.0158 3.4657 1.7508 0.5777 20.6097 0 0 + 2.250 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 25.6332 3.8822 1.4829 0.6168 22.5909 0 0 + 2.200 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 25.2407 4.1968 1.2368 0.6613 24.3322 0 0 + 2.150 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 24.8137 4.3133 1.0618 0.6998 25.3364 0 0 + 2.100 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 24.4072 4.2486 0.9598 0.7326 25.6650 0 0 + 2.050 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 24.0078 4.1289 0.8750 0.7665 25.8342 0 0 + 2.000 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 23.5476 4.0409 0.7949 0.7873 25.8910 0 0 + 1.950 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 23.0790 3.8735 0.7726 0.7904 25.4030 0 0 + 1.900 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 22.5847 3.6650 0.7836 0.7808 24.5744 0 0 + 1.850 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 22.0980 3.4153 0.8405 0.7544 23.3395 0 0 + 1.800 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 21.6244 3.1913 0.9131 0.7162 21.9923 0 0 + 1.750 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 21.0851 2.9703 0.9753 0.6777 20.6508 0 0 + 1.700 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 20.5740 2.8329 1.0157 0.6384 19.5658 0 0 + 1.650 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 20.0951 2.8195 1.0137 0.6027 18.9382 0 0 + 1.600 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 19.6210 2.9182 0.9670 0.5716 18.7477 0 0 + 1.550 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 19.1355 3.0729 0.8861 0.5481 18.8615 0 0 + 1.500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 18.6788 3.1390 0.8441 0.5217 18.6425 0 0 + 1.450 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 18.2598 3.1889 0.7954 0.5048 18.5260 0 0 + 1.400 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.9235 3.3540 0.7011 0.4989 18.9605 0 0 + 1.350 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.6901 3.4534 0.6399 0.4951 19.2191 0 0 + 1.300 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.5160 3.4730 0.6231 0.4864 19.1401 0 0 + 1.250 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.4135 3.4753 0.6286 0.4747 18.9557 0 0 + 1.200 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.3901 3.4725 0.6596 0.4566 18.6515 0 0 + 1.150 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.4179 3.4557 0.7204 0.4293 18.1494 0 0 + 1.100 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.4859 3.4577 0.7906 0.3968 17.6255 0 0 + 1.050 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.5734 3.4716 0.8619 0.3633 17.1221 0 0 + 1.000 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.7142 3.5177 0.9370 0.3265 16.6673 0 0 + 0.950 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.8658 3.5200 1.0219 0.2930 16.1266 0 0 + 0.900 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.9917 3.5134 1.0909 0.2674 15.6869 0 0 + 0.850 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 18.0697 3.5398 1.1315 0.2473 15.4442 0 0 + 0.800 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 18.0962 3.5626 1.1523 0.2344 15.3052 0 0 + 0.750 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 18.0793 3.6107 1.1474 0.2272 15.3422 0 0 + 0.700 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.9794 3.6650 1.1098 0.2296 15.5571 0 0 + 0.650 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.8000 3.7108 1.0535 0.2371 15.8266 0 0 + 0.600 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.5383 3.7429 0.9828 0.2479 16.1075 0 0 + 0.550 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 17.2243 3.7872 0.8901 0.2642 16.5161 0 0 + 0.500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 16.7546 3.7338 0.8161 0.2749 16.5190 0 0 + 0.450 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 16.1888 3.6746 0.7314 0.2844 16.4852 0 0 + 0.400 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 15.5570 3.6078 0.6401 0.2935 16.4183 0 0 + 0.350 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 14.8346 3.4614 0.5710 0.2973 16.0088 0 0 + 0.300 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 14.0829 3.2597 0.5256 0.2957 15.3330 0 0 + 0.250 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 13.2159 3.0101 0.4869 0.2895 14.4282 0 0 + 0.200 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 12.3323 2.7352 0.4601 0.2800 13.3879 0 0 + 0.150 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 11.4666 2.4533 0.4397 0.2698 12.3127 0 0 + 0.100 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 10.5465 2.1613 0.4206 0.2562 11.1502 0 0 + 0.050 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 -999.2500 9.6514 1.8866 0.4018 0.2414 10.0240 0 0 diff --git a/test/test_borehole.py b/test/test_borehole.py index ce5bebc..e14e4ae 100644 --- a/test/test_borehole.py +++ b/test/test_borehole.py @@ -2,39 +2,563 @@ from shapely.geometry import Point import pyproj import pandas as pd +import geopandas as gpd +import numpy as np def test_borehole_class(): from pyborehole.borehole import Borehole - borehole = Borehole(name='Weisweiler R1', - address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', - location=(6.313031, 50.835676), - crs='EPSG:4326', - altitude_above_sea_level=136.0) + borehole = Borehole(name='Weisweiler R1') assert borehole.name == 'Weisweiler R1' assert isinstance(borehole.name, str) + assert borehole.has_name is True + assert borehole.address is None + assert borehole.has_address is None + assert borehole.location is None + assert borehole.has_location is None + assert borehole.year is None + assert borehole.has_year is None + assert borehole.x is None + assert borehole.y is None + assert borehole.has_x is None + assert borehole.has_y is None + assert borehole.crs is None + assert borehole.has_crs is None + assert borehole.crs_pyproj is None + assert borehole.has_crs_pyproj is None + assert borehole.altitude_above_sea_level is None + assert borehole.altitude_above_kb is None + assert borehole.has_altitude_above_kb is None + assert borehole.has_altitude_above_sea_level is None + assert borehole.borehole_id is None + assert borehole.has_borehole_id is None + assert borehole.borehole_type is None + assert borehole.has_borehole_type is None + assert borehole.md is None + assert borehole.tvd is None + assert borehole.tvdss is None + assert borehole.has_md is None + assert borehole.has_tvd is None + assert borehole.has_tvdss is None + assert borehole.depth_unit is None + assert borehole.has_depth_unit is None + assert borehole.is_vertical is None + assert borehole.contractee is None + assert borehole.drilling_contractor is None + assert borehole.logging_contractor is None + assert borehole.field is None + assert borehole.project is None + assert borehole.has_contractee is None + assert borehole.has_drilling_contractor is None + assert borehole.has_logging_contractor is None + assert borehole.has_field is None + assert borehole.has_project is None + assert borehole.start_drilling is None + assert borehole.end_drilling is None + assert borehole.start_logging is None + assert borehole.end_logging is None + assert borehole.has_start_drilling is None + assert borehole.has_start_logging is None + assert borehole.has_end_drilling is None + assert borehole.has_end_logging is None + assert borehole.deviation is None + assert borehole.logs is None + assert borehole.well_tops is None + assert borehole.litholog is None + assert borehole.well_design is None + assert borehole.has_deviation is False + assert borehole.has_logs is False + assert borehole.has_well_tops is False + assert borehole.has_litholog is False + assert borehole.has_well_design is False + assert borehole.df is None + assert borehole.gdf is None + assert borehole.properties is None + + +def test_borehole_class_error(): + from pyborehole.borehole import Borehole + + with pytest.raises(TypeError): + Borehole(name=['Weisweiler R1']) + + +def test_borehole_class_str(): + from pyborehole.borehole import Borehole + + borehole = Borehole(name='Weisweiler R1') + + assert borehole.__str__() == 'Borehole: Weisweiler R1' + assert isinstance(borehole.__str__(), str) + + +def test_borehole_class_repr(): + from pyborehole.borehole import Borehole + + borehole = Borehole(name='Weisweiler R1') + + assert borehole.__repr__() == 'Borehole: Weisweiler R1' + assert isinstance(borehole.__repr__(), str) + + +def test_borehole_class_init_properties(): + from pyborehole.borehole import Borehole + + borehole = Borehole(name='Weisweiler R1') + + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326', + altitude_above_sea_level=136.0, + altitude_above_kb=140.0, + borehole_id='DABO123456', + borehole_type='exploration', + md=100, + tvd=100, + depth_unit='m', + vertical=True, + contractee='RWE Power AG', + drilling_contractor='RWE BOWA', + logging_contractor='DMT GmbH', + field='RWE Geothermie', + project='DGE Rollout', + start_drilling='2023-10-18', + end_drilling='2023-10-28', + start_logging='2023-10-28', + end_logging='2023-10-29' + ) + + # Asserting address assert borehole.address == 'Am Kraftwerk 17, 52249 Eschweiler, Deutschland' assert isinstance(borehole.address, str) + assert borehole.has_address is True + assert isinstance(borehole.has_address, bool) + + # Asserting location assert borehole.location == Point(6.313031, 50.835676) assert isinstance(borehole.location, Point) + assert borehole.has_location is True + assert isinstance(borehole.has_location, bool) + + # Asserting coordinates assert borehole.x == 6.313031 assert borehole.y == 50.835676 assert isinstance(borehole.x, float) assert isinstance(borehole.y, float) + assert borehole.has_x is True + assert isinstance(borehole.has_x, bool) + assert borehole.has_y is True + assert isinstance(borehole.has_y, bool) + + # Asserting year + assert borehole.year == 2024 + assert isinstance(borehole.year, int) + assert borehole.has_year is True + assert isinstance(borehole.has_year, bool) + + # Asserting CRS assert borehole.crs == 'EPSG:4326' + assert borehole.crs_pyproj.name == 'WGS 84' + assert borehole.crs_pyproj.srs == 'EPSG:4326' assert isinstance(borehole.crs, str) assert isinstance(borehole.crs_pyproj, pyproj.crs.crs.CRS) - assert borehole.altitude_above_sea_level == 136 + assert borehole.has_crs is True + assert isinstance(borehole.has_crs, bool) + assert borehole.has_crs_pyproj is True + assert isinstance(borehole.has_crs_pyproj, bool) + + # Asserting altitudes + assert borehole.altitude_above_sea_level == 136.0 assert isinstance(borehole.altitude_above_sea_level, float) + assert borehole.altitude_above_kb == 140.0 + assert isinstance(borehole.altitude_above_kb, float) + assert borehole.has_altitude_above_sea_level is True + assert isinstance(borehole.has_altitude_above_sea_level, bool) + assert borehole.has_altitude_above_kb is True + assert isinstance(borehole.has_altitude_above_kb, bool) + + # Asserting borehole id + assert borehole.borehole_id == 'DABO123456' + assert isinstance(borehole.borehole_id, str) + assert borehole.has_borehole_id is True + assert isinstance(borehole.has_borehole_id, bool) + + # Asserting borehole type + assert borehole.borehole_type == 'exploration' + assert isinstance(borehole.borehole_type, str) + assert borehole.has_borehole_type is True + assert isinstance(borehole.has_borehole_type, bool) + + # Asserting depths + assert borehole.md == 100 + assert isinstance(borehole.md, int) + assert borehole.has_md is True + assert isinstance(borehole.has_md, bool) + + assert borehole.tvd == 100 + assert isinstance(borehole.tvd, int) + assert borehole.has_tvd is True + assert isinstance(borehole.has_tvd, bool) + + assert borehole.tvdss == -36 + assert isinstance(borehole.tvdss, float) + assert borehole.has_tvdss is True + assert isinstance(borehole.has_tvdss, bool) + + # Asserting depth unit + assert borehole.depth_unit == 'm' + assert isinstance(borehole.depth_unit, str) + assert borehole.has_depth_unit is True + assert isinstance(borehole.has_depth_unit, bool) + + # Asserting vertical + assert borehole.is_vertical == True + assert isinstance(borehole.is_vertical, bool) + + # Asserting meta data + assert borehole.contractee == 'RWE Power AG' + assert isinstance(borehole.contractee, str) + assert borehole.has_contractee is True + assert isinstance(borehole.has_contractee, bool) + + assert borehole.drilling_contractor == 'RWE BOWA' + assert isinstance(borehole.drilling_contractor, str) + assert borehole.has_drilling_contractor is True + assert isinstance(borehole.has_drilling_contractor, bool) + + assert borehole.logging_contractor == 'DMT GmbH' + assert isinstance(borehole.logging_contractor, str) + assert borehole.has_logging_contractor is True + assert isinstance(borehole.has_logging_contractor, bool) + + assert borehole.field == 'RWE Geothermie' + assert isinstance(borehole.field, str) + assert borehole.has_field is True + assert isinstance(borehole.has_field, bool) + + assert borehole.project == 'DGE Rollout' + assert isinstance(borehole.project, str) + assert borehole.has_project is True + assert isinstance(borehole.has_project, bool) + + assert borehole.start_drilling == '2023-10-18' + assert isinstance(borehole.start_drilling, str) + assert borehole.has_start_drilling is True + assert isinstance(borehole.has_start_drilling, bool) + + assert borehole.end_drilling == '2023-10-28' + assert isinstance(borehole.end_drilling, str) + assert borehole.has_end_drilling is True + assert isinstance(borehole.has_end_drilling, bool) + + assert borehole.start_logging == '2023-10-28' + assert isinstance(borehole.start_logging, str) + assert borehole.has_start_logging is True + assert isinstance(borehole.has_start_logging, bool) + + assert borehole.end_logging == '2023-10-29' + assert isinstance(borehole.end_logging, str) + assert borehole.has_end_logging is True + assert isinstance(borehole.has_end_logging, bool) + + assert borehole.deviation is None + assert borehole.logs is None + assert borehole.well_tops is None + assert borehole.litholog is None + assert borehole.well_design is None + + assert borehole.has_deviation is False + assert isinstance(borehole.has_deviation, bool) + assert borehole.has_logs is False + assert isinstance(borehole.has_logs, bool) + assert borehole.has_litholog is False + assert isinstance(borehole.has_litholog, bool) + assert borehole.has_well_tops is False + assert isinstance(borehole.has_well_tops, bool) + assert borehole.has_well_design is False + assert isinstance(borehole.has_well_design, bool) + + assert isinstance(borehole.df, pd.DataFrame) + assert isinstance(borehole.properties, pd.DataFrame) + + borehole.init_properties(address=None, + location=None, + year=None, + crs=None, + altitude_above_sea_level=None, + altitude_above_kb=None, + borehole_id=None, + borehole_type=None, + md=None, + tvd=None, + depth_unit=None, + vertical=False, + contractee=None, + drilling_contractor=None, + logging_contractor=None, + field=None, + project=None, + start_drilling=None, + end_drilling=None, + start_logging=None, + end_logging=None + ) + + # Asserting address + assert borehole.address is None + assert isinstance(borehole.address, type(None)) + assert borehole.has_address is False + assert isinstance(borehole.has_address, bool) + + # Asserting location + assert borehole.location is None + assert isinstance(borehole.location, type(None)) + assert borehole.has_location is False + assert isinstance(borehole.has_location, bool) + + # Asserting coordinates + assert borehole.x is None + assert borehole.y is None + assert isinstance(borehole.x, type(None)) + assert isinstance(borehole.y, type(None)) + assert borehole.has_x is False + assert isinstance(borehole.has_x, bool) + assert borehole.has_y is False + assert isinstance(borehole.has_y, bool) + + # Asserting year + assert borehole.year is None + assert isinstance(borehole.year, type(None)) + assert borehole.has_year is False + assert isinstance(borehole.has_year, bool) + + # Asserting CRS + assert borehole.crs is None + assert borehole.crs_pyproj is None + assert isinstance(borehole.crs, type(None)) + assert isinstance(borehole.crs_pyproj, type(None)) + assert borehole.has_crs is False + assert isinstance(borehole.has_crs, bool) + assert borehole.has_crs_pyproj is False + assert isinstance(borehole.has_crs_pyproj, bool) + + # Asserting altitudes + assert borehole.altitude_above_sea_level is None + assert isinstance(borehole.altitude_above_sea_level, type(None)) + assert borehole.altitude_above_kb is None + assert isinstance(borehole.altitude_above_kb, type(None)) + assert borehole.has_altitude_above_sea_level is False + assert isinstance(borehole.has_altitude_above_sea_level, bool) + assert borehole.has_altitude_above_kb is False + assert isinstance(borehole.has_altitude_above_kb, bool) + + # Asserting borehole id + assert borehole.borehole_id is None + assert isinstance(borehole.borehole_id, type(None)) + assert borehole.has_borehole_id is False + assert isinstance(borehole.has_borehole_id, bool) + + # Asserting borehole type + assert borehole.borehole_type is None + assert isinstance(borehole.borehole_type, type(None)) + assert borehole.has_borehole_type is False + assert isinstance(borehole.has_borehole_type, bool) + + # Asserting depths + assert borehole.md is None + assert isinstance(borehole.md, type(None)) + assert borehole.has_md is False + assert isinstance(borehole.has_md, bool) + + assert borehole.tvd is None + assert isinstance(borehole.tvd, type(None)) + assert borehole.has_tvd is False + assert isinstance(borehole.has_tvd, bool) + + assert borehole.tvdss is None + assert isinstance(borehole.tvdss, type(None)) + assert borehole.has_tvdss is False + assert isinstance(borehole.has_tvdss, bool) + + # Asserting depth unit + assert borehole.depth_unit is None + assert isinstance(borehole.depth_unit, type(None)) + assert borehole.has_depth_unit is False + assert isinstance(borehole.has_depth_unit, bool) + + # Asserting vertical + assert borehole.is_vertical is False + assert isinstance(borehole.is_vertical, bool) + + # Asserting meta data + assert borehole.contractee is None + assert isinstance(borehole.contractee, type(None)) + assert borehole.has_contractee is False + assert isinstance(borehole.has_contractee, bool) + + assert borehole.drilling_contractor is None + assert isinstance(borehole.drilling_contractor, type(None)) + assert borehole.has_drilling_contractor is False + assert isinstance(borehole.has_drilling_contractor, bool) + + assert borehole.logging_contractor is None + assert isinstance(borehole.logging_contractor, type(None)) + assert borehole.has_logging_contractor is False + assert isinstance(borehole.has_logging_contractor, bool) + + assert borehole.field is None + assert isinstance(borehole.field, type(None)) + assert borehole.has_field is False + assert isinstance(borehole.has_field, bool) + + assert borehole.project is None + assert isinstance(borehole.project, type(None)) + assert borehole.has_project is False + assert isinstance(borehole.has_project, bool) + + assert borehole.start_drilling is None + assert isinstance(borehole.start_drilling, type(None)) + assert borehole.has_start_drilling is False + assert isinstance(borehole.has_start_drilling, bool) + + assert borehole.end_drilling is None + assert isinstance(borehole.end_drilling, type(None)) + assert borehole.has_end_drilling is False + assert isinstance(borehole.has_end_drilling, bool) + + assert borehole.start_logging is None + assert isinstance(borehole.start_logging, type(None)) + assert borehole.has_start_logging is False + assert isinstance(borehole.has_start_logging, bool) + + assert borehole.end_logging is None + assert isinstance(borehole.end_logging, type(None)) + assert borehole.has_end_logging is False + assert isinstance(borehole.has_end_logging, bool) + assert borehole.deviation is None assert borehole.logs is None + assert borehole.well_tops is None + assert borehole.litholog is None + assert borehole.well_design is None + + assert borehole.has_deviation is False + assert isinstance(borehole.has_deviation, bool) + assert borehole.has_logs is False + assert isinstance(borehole.has_logs, bool) + assert borehole.has_litholog is False + assert isinstance(borehole.has_litholog, bool) + assert borehole.has_well_tops is False + assert isinstance(borehole.has_well_tops, bool) + assert borehole.has_well_design is False + assert isinstance(borehole.has_well_design, bool) + assert isinstance(borehole.df, pd.DataFrame) - assert borehole.__str__() == 'Weisweiler R1' + assert isinstance(borehole.properties, pd.DataFrame) + + +def test_borehole_class_init_properties_error(): + from pyborehole.borehole import Borehole + + borehole = Borehole(name='Weisweiler R1') + + with pytest.raises(TypeError): + borehole.init_properties(address=['Am Kraftwerk 17, 52249 Eschweiler, Deutschland']) + + with pytest.raises(TypeError): + borehole.init_properties(location=[6.313031, 50.835676]) + + with pytest.raises(TypeError): + borehole.init_properties(year=[2024]) + + with pytest.raises(TypeError): + borehole.init_properties(crs=['EPSG:4326']) + + with pytest.raises(TypeError): + borehole.init_properties(altitude_above_sea_level=[136.0]) + + with pytest.raises(TypeError): + borehole.init_properties(altitude_above_kb=[140.0]) + + with pytest.raises(TypeError): + borehole.init_properties(borehole_id=['DABO123456']) - borehole.update_df({'newname': 'Weisweiler R2'}) - assert borehole.df.T['newname'].iloc[0] == 'Weisweiler R2' + with pytest.raises(TypeError): + borehole.init_properties(borehole_type=['exploration']) + + with pytest.raises(ValueError): + borehole.init_properties(borehole_type='Erkundung') + + with pytest.raises(TypeError): + borehole.init_properties(md='100') + + with pytest.raises(TypeError): + borehole.init_properties(tvd='100') + + with pytest.raises(TypeError): + borehole.init_properties(depth_unit=['m']) + + with pytest.raises(ValueError): + borehole.init_properties(depth_unit='mm') + + with pytest.raises(TypeError): + borehole.init_properties(vertical='True') + + with pytest.raises(TypeError): + borehole.init_properties(contractee=['RWE Power AG']) + + with pytest.raises(TypeError): + borehole.init_properties(drilling_contractor=['RWE BOWA']) + + with pytest.raises(TypeError): + borehole.init_properties(logging_contractor=['DMT GmbH']) + + with pytest.raises(TypeError): + borehole.init_properties(field=['RWE Geothermie']) + + with pytest.raises(TypeError): + borehole.init_properties(project=['DGE Rollout']) + + with pytest.raises(TypeError): + borehole.init_properties(start_drilling=['2023-10-18']) + + with pytest.raises(TypeError): + borehole.init_properties(end_drilling=['2023-10-28']) + + with pytest.raises(TypeError): + borehole.init_properties(start_logging=['2023-10-28']) + + with pytest.raises(TypeError): + borehole.init_properties(end_logging=['2023-10-29']) + + +def test_borehole_class_update_df(): + from pyborehole.borehole import Borehole + + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland') + borehole.update_df(data_dict={'Date': 2023}) + + borehole.df.loc['Data', 'Value'] = 2023 + + with pytest.raises(TypeError): + borehole.update_df(data_dict='Date') + + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.update_df(data_dict='Date') + + +def test_borehole_class_update_value(): + from pyborehole.borehole import Borehole + + borehole = Borehole(name='Weisweiler R1') + + borehole.init_properties(location=(6.313031, 50.835676), + crs='EPSG:4326') data = {'MD': [0, 50, 100], 'DIP': [2, 2, 2], @@ -46,57 +570,295 @@ def test_borehole_class(): step=25, md_column='MD', dip_column='DIP', - azimuth_column='AZI') + azimuth_column='AZI', + add_origin=False) + borehole.update_value(attribute='name', value='RWE EB2') + assert borehole.name == 'RWE EB2' + borehole.update_value(attribute='location', value=(6, 50)) + assert borehole.x == 6 + assert borehole.y == 50 -def test_borehole_class_error(): + borehole.update_value(attribute='location', value=(6, 50), crs='EPSG:25832') + assert borehole.x == 6 + assert borehole.y == 50 + assert borehole.crs == 'EPSG:25832' + + borehole.update_value(attribute='crs', value='EPSG:25832', transform_coordinates=True) + + with pytest.raises(TypeError): + borehole.update_value(attribute=['name'], value='RWE EB2') + + with pytest.raises(TypeError): + borehole.update_value(attribute='name', value=['RWE EB2']) + + with pytest.raises(TypeError): + borehole.update_value(attribute='name', value='RWE EB2', transform_coordinates='True') + + with pytest.raises(TypeError): + borehole.update_value(attribute='location', value=(6, 50), crs=4326) + + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.update_value(attribute='name', value='RWE EB2') + + +def test_borehole_class_to_gdf(): from pyborehole.borehole import Borehole + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.to_gdf() + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.to_gdf(crs=['EPSG:25832']) + + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + + gdf = borehole.to_gdf() + + assert isinstance(gdf, gpd.GeoDataFrame) + assert gdf.crs == 'EPSG:4326' + + +def test_borehole_class_add_deviation(): + from pyborehole.borehole import Borehole, Deviation + + data = np.array(([0, 50, 100], [0, 0, 0], [0, 0, 0])).T + df = pd.DataFrame(data, columns=['MD', 'DIP', 'AZI']) + + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.add_deviation(df) + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_deviation(np.array(df)) + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_deviation(df, delimiter=5) + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_deviation(df, step='5') + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_deviation(df, md_column=5) + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_deviation(df, dip_column=5) + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_deviation(df, azimuth_column=5) + + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_deviation(df, md_column='Measured_Depth') + + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(3413039, 5835676), + year=2024, + crs='EPSG:25832') + borehole.add_deviation(df) + + assert borehole.has_properties is True + assert isinstance(borehole.deviation, Deviation) + assert borehole.has_deviation is True + assert borehole.df.loc['Well Deviation', 'Value'] is True + + +def test_borehole_class_add_well_logs(): + from pyborehole.borehole import Borehole, LASLogs, DLISLogs + + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.add_well_logs(path='Well_Log.las') + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_logs(path=['Well_Log.las']) + + with pytest.raises(TypeError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_logs(path='data/dlis.dlis', nodata=[9999]) + + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_logs(path='data/dlis.xls') + + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_logs(path='data/las.las') + + assert borehole.has_properties is True + assert isinstance(borehole.logs, LASLogs) + assert borehole.has_logs is True + assert borehole.df.loc['Well Logs', 'Value'] is True + + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_logs(path='data/dlis.dlis', nodata=9999) + + assert borehole.has_properties is True + assert isinstance(borehole.logs, DLISLogs) + assert borehole.has_logs is True + assert borehole.df.loc['Well Logs', 'Value'] is True + +def test_borehole_class_add_well_tops(): + from pyborehole.borehole import Borehole, WellTops + + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.add_well_tops(path='Well_Tops.csv') + with pytest.raises(TypeError): - borehole = Borehole(name=['Weisweiler R1'], - address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', - location=(6.313031, 50.835676), - crs='EPSG:4326', - altitude_above_sea_level=136.0) + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_tops(path=['Well_Tops.csv']) + with pytest.raises(TypeError): - borehole = Borehole(name='Weisweiler R1', - address=['Am Kraftwerk 17, 52249 Eschweiler, Deutschland'], - location=(6.313031, 50.835676), - crs='EPSG:4326', - altitude_above_sea_level=136.0) + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_tops(path='Well_Tops.csv', delimiter=[',']) with pytest.raises(TypeError): - borehole = Borehole(name='Weisweiler R1', - address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', - location=[6.313031, 50.835676], - crs='EPSG:4326', - altitude_above_sea_level=136.0) + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_tops(path='Well_Tops.csv', unit=['m']) + + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_tops(path='data/Well_Tops.csv') + + assert borehole.has_properties is True + assert isinstance(borehole.well_tops, WellTops) + assert borehole.has_well_tops is True + assert borehole.df.loc['Well Tops', 'Value'] is True + + +def test_borehole_class_add_litholog(): + from pyborehole.borehole import Borehole, LithoLog + + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.add_litholog(path='Well_Tops.csv') with pytest.raises(TypeError): - borehole = Borehole(name='Weisweiler R1', - address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', - location=(6.313031, 50.835676), - crs=['EPSG:4326'], - altitude_above_sea_level=136.0) + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_litholog(path=['Well_Tops.csv']) with pytest.raises(TypeError): - borehole = Borehole(name='Weisweiler R1', - address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', - location=(6.313031, 50.835676), - crs='EPSG:4326', - altitude_above_sea_level=[136.0]) + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_litholog(path='Well_Tops.csv', delimiter=[',']) -# def test_create_df(): -# assert False + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_litholog(path='data/Well_Tops.csv') + assert borehole.has_properties is True + assert isinstance(borehole.litholog, LithoLog) + assert borehole.has_litholog is True + assert borehole.df.loc['Litholog', 'Value'] is True -# def test_update_df(): -# assert False +def test_borehole_class_add_well_design(): + from pyborehole.borehole import Borehole, WellDesign -# def test_add_deviation(): -# assert False + with pytest.raises(ValueError): + borehole = Borehole(name='Weisweiler R1') + borehole.add_well_design() + borehole = Borehole(name='Weisweiler R1') + borehole.init_properties(address='Am Kraftwerk 17, 52249 Eschweiler, Deutschland', + location=(6.313031, 50.835676), + year=2024, + crs='EPSG:4326') + borehole.add_well_design() -# def test_add_well_logs(): -# assert False + assert borehole.has_properties is True + assert borehole.has_well_design is True + assert isinstance(borehole.well_design, WellDesign) + assert borehole.df.loc['WellDesign', 'Value'] is True