From b3db900208eafd90b19f826a7ea8e267d4046e08 Mon Sep 17 00:00:00 2001 From: "Jan C. Rivenaes" Date: Fri, 5 Apr 2024 18:33:32 +0200 Subject: [PATCH] ENH: add library for general Sw in a 3D grid --- docs/index.rst | 1 + docs/pdf/sw_calc.pdf | Bin 0 -> 1559333 bytes docs/properties.rst | 79 +++++ src/fmu/tools/_common.py | 2 +- src/fmu/tools/properties/__init__.py | 5 + src/fmu/tools/properties/swfunction.py | 324 ++++++++++++++++++ tests/properties/test_swfunction.py | 303 ++++++++++++++++ tests/rms/test_create_rft_ertobs.py | 2 +- tests/rms/test_import_localmodule.py | 1 - tests/rms/test_rename_rms_scripts.py | 2 +- tests/sensitivities/test_designmatrix.py | 2 +- tests/sensitivities/test_excel2dict.py | 2 +- tests/sensitivities/test_use_cases.py | 2 +- .../test_ensemble_well_props.py | 2 +- 14 files changed, 719 insertions(+), 8 deletions(-) create mode 100755 docs/pdf/sw_calc.pdf create mode 100644 docs/properties.rst create mode 100644 src/fmu/tools/properties/__init__.py create mode 100644 src/fmu/tools/properties/swfunction.py create mode 100644 tests/properties/test_swfunction.py diff --git a/docs/index.rst b/docs/index.rst index c6be79b5..f5d2ed56 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -11,6 +11,7 @@ Contents: qcforward qcproperties qcreset + properties create_rft_ertobs rename_rms_scripts rms_import_localmodule diff --git a/docs/pdf/sw_calc.pdf b/docs/pdf/sw_calc.pdf new file mode 100755 index 0000000000000000000000000000000000000000..561d4f0f77f1d2881797e060be5775ff13c04603 GIT binary patch literal 1559333 zcmeFXWpL(PlO(Y%pX!&jnvFEGz&J!wj9v4-b120K-pZ6Vt!TFtIgrHvfC8>;MLF3u|W+$G=Bw z17{Oa6C*q0zhVD6DjGQ2I061aLB!75#m3eNzy@GYbTl!xFmkqY1TZoGT@`>q{U0Cz zEPwaEC`j2Fo4EgV{6&a~gYjP;Q#$|))89K$1~4ew**ODP*#2dx{6!VO%=j0pzjM0& zJ5n6~6FLl1q5v&kPIg8^V-`+RQxgMDLsJ$`MniTsc6KHsPG$~c6E1dkeqKWsV?$16 z17=1xb|w=xE;ddRLjwaA12#5RLoQ=B14e$Ge<*Nrb~G`tfpO0^GBnoTG1E8H*XM*L zUe)!N9Oh;$gTu%JBj%zJD)c}IUr+!|z=;wp%!Y|Kb{+$(8-VTGBLgI6Aj>lQOX(nu zIbuwjiW6%HlBQvTqV9hOQ|WhLVM$0yOAV`lUWY0d`|Bb-^9}$50w}kp1f+cTYW8(CW3jHg|D%hLY3K=W 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zgXRB)mH&8FoHx@g+SDaxI#5U#QxE{3&Th#653EpE+dcjVR)B{an3l;O8%@0cgC&fk zl&T1$q118$t5@pBInKc)gmWQ)c}^Q15relH_OPq9bz zTO4{(M30i3ropN&dD+ghn$oj-AtjtSUoOPa>oWRSIiT04fger$xLof;fV7*(Sv)F$c4B!kt-{tN-2BCZNJ^?J-Jt5{mXSXy|Bg9m%ru&}7dzA%#x zOO=8V_g4ftjL60rFnEfGNpYv5a^tyd@NcmK{!grAIuz$KXKf4=I@U8-zB zg_}nw`_s5*w_AsT*SER^L+4ArSE9CxB|$f@-Rd=cqrGP9-(&t8>_Q)A#`n3;JT-;AsATH>9loO`A#5-OkR` z#KGYUt2FB0tzAjJ7AJGdFUt%hniejuU#^g_GqG~8a`Liqak4YAF>x`nGI6jlv2l{< z)BM8$d20^~k}o&e^=V0LolM-myIPo#c>J$JxtQ3QIKRA7c5yU!H~Ys){=@h`ZG1JU zxtrQpn7RE=f7Pws?7lAhYp=SCiIbCs`4@qh*tuH#gDxx_%>O|y>}>z(#;Jc@Hwm-0 zs)gnMCKuK($NoM0{09puo4DA!lKg|B#2xM2?Hyc6zWOV>SeRRzxqaPLR<^HmkuYnK z=#j9Juz&pxzC5({u^?e*Ct;S6Akh=x;bJj0XXmlBv@qc@wPfdEG3Daq;$k)9VdFNp z;N{{H5-?>qH|1e7VPoOsVzuDp<>aw2H8Ei~;pF5n`. + +Note that this library will not give exact same values as RMS built-in Sw GUI will give. +This is partly due to computing height across a cell is a bit different implemented. + +The library input is documented here: :meth:`.SwFunction` + + +Example: Using simple Sw Leverett J +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The Leverett J is given as $S_w = a J^b$, where $J$ is $h\sqrt(k/\phi)$. In this example, the +factors are constant numbers: + +.. code-block:: python + + import numpy as np + import xtgeo + from fmu.tools.properties import SwFunction + + GRIDNAME = "Geogrid" + A = 1 + B = -2 + FWL = 1700 + + PORONAME = "PHIT" + PERMNAME = "KLOGH" + + CALC = "integrated" + METHOD = "cell_corners_above_ffl" + + SW_RESULT = "SwJ" + + + def compute_saturation(): + grid = xtgeo.grid_from_roxar(project, GRIDNAME) + poro = xtgeo.gridproperty_from_roxar(project, GRIDNAME, PORONAME) + perm = xtgeo.gridproperty_from_roxar(project, GRIDNAME, PERMNAME) + + # avoid zero porosities in the division below + poro.values[poro.values == 0.0] = 0.01 + x = poro.copy() + x.values = np.sqrt(np.divide(perm.values, poro.values)) + + sw_func = SwFunction( + grid=grid, + x=x, + a=A, + b=B, + ffl=FWL, + invert=True, + method=METHOD, + ) + sw = sw_func.compute(CALC) + sw.values[poro.values < 0.05] = 1.0 # 100% water when low porosity + sw.to_roxar(project, GRIDNAME, SW_RESULT) + + + if __name__ == "__main__": + compute_saturation() + print("Done") diff --git a/src/fmu/tools/_common.py b/src/fmu/tools/_common.py index e3414ee8..6c56a281 100644 --- a/src/fmu/tools/_common.py +++ b/src/fmu/tools/_common.py @@ -2,9 +2,9 @@ This private module is used for some common functions and testing """ +import os import sys from functools import wraps -import os class _QCCommon(object): diff --git a/src/fmu/tools/properties/__init__.py b/src/fmu/tools/properties/__init__.py new file mode 100644 index 00000000..90bd6d6b --- /dev/null +++ b/src/fmu/tools/properties/__init__.py @@ -0,0 +1,5 @@ +from .swfunction import SwFunction + +__all__ = [ + "SwFunction", +] diff --git a/src/fmu/tools/properties/swfunction.py b/src/fmu/tools/properties/swfunction.py new file mode 100644 index 00000000..294554f0 --- /dev/null +++ b/src/fmu/tools/properties/swfunction.py @@ -0,0 +1,324 @@ +"""Sw J or BVW or Brooks-Corey general functions, by direct or integration. + +Solve a system on form: + +sw = a(m + x*h)^b + +The "x" can e.g. be the J term in the Leverett equation, but without the height term. + +In many cases m is zero. + +Note: +The public library `xtgeo` must be available. +""" + +from __future__ import annotations + +import logging +from dataclasses import dataclass, field +from typing import Any + +import numpy as np +import xtgeo + +# custom logger for this module +logger = logging.getLogger(__name__) + +ALLOWED_METHODS = [ + "cell_center", + "cell_center_above_ffl", + "cell_corners_above_ffl", +] + + +@dataclass +class SwFunction: + """Generic Sw calc for formulation Sw = a * (m + x * h)^b. + + Some theory for this is shown here: :download:`pdf `. + + Args: + grid: The xtgeo grid object + x: The ``x`` term in the generic saturation. For a simplified J function, this + will be sqrt(perm/poro). + a: The ``a`` term in the generic saturation. + b: The ``b`` term in the generic saturation. + ffl: The free fluid level, either as a number or a 3D xtgeo gridproperty + object. + m: The ``m`` term in the equation above, either as a number or a 3D xtgeo + gridproperty object. Defaults to zero. + swira: The absolute irreducable satuation applied as asymptote in the equation. + Defaults to zero. + swmax: The maximum applied as asymptote in the equation. + Defaults to 1. + method: How to look at cell geometry. There are three options: 'cell_center', + 'cell_center-above_ffl' and 'cell_corners_above_ffl'. + gridname: Optional - only needed when debug keyword is True. + project: Optional. Must be included when working in RMS. + invert: Optional, will in case invert ``a`` and ``b`` in case the J function + (or similar) is formulated as Sw = (J/A)^(1/B). This is the case in e.g. + RMS + zdepth: Optional. May speed up computation if provided, in case the function + is called several time for the same grid. + hcenter: Optional. May speed up computation if provided, in case the function + is called several time for the same grid, or hcenter is pre-computed in a + special way. The hcenter will work with direct method only, not integration. + htop: Optional. May speed up computation if provided, in case the function + is called several time for the same grid. + hbot: Optional. May speed up computation if provided, in case the function + is called several time for the same grid. + debug: If True, several "check parameters" will we given, either as grid + properties (if working in RMS) or as ROFF files (if working outside RMS). + tag: Optional string to identify debug parameters. + + + """ + + grid: xtgeo.Grid + # all input are constants or xtgeo grid or gridproperty + x: float | xtgeo.GridProperty = 0.0 + a: float | xtgeo.GridProperty = 1.0 + b: float | xtgeo.GridProperty = -1.0 + ffl: float | xtgeo.GridProperty = 999.0 + + m: float | xtgeo.GridProperty = 0.0 + + swira: float | xtgeo.GridProperty = 0.0 + swmax: float | xtgeo.GridProperty = 1.0 + + method: str = "cell_center_above_ffl" + gridname: str = "" # only used when debugging in RMS + project: Any | None = None + invert: bool = False # if the SwJ function is on "reverse" form + + # if None they will be computed here; otherwise they can be given explicitly: + hcenter: xtgeo.GridProperty = None + htop: xtgeo.GridProperty = None + hbot: xtgeo.GridProperty = None + + # debug flag for additional parameters. Given in RMS if project is given; otherwise + # as files on your working folder + debug: bool = False + tag: str = "" # identification tag to add to debug params + + # derived and internal + _swval: np.ma.MaskedArray = field(init=False) + _sw: Any = field(init=False) + + def __post_init__(self) -> None: + """Post init.""" + + if self.tag and not self.tag.startswith("_"): + self.tag = "_" + self.tag + + self._process_input() + + if all([self.hcenter, self.htop, self.hbot]): + logger.info("Essential geometries are pre-computed") + else: + self._compute_htop_hbot() + + if self.debug: + if self.project: + self.grid.to_roxar(self.project, "DEBUG_" + self.gridname) + else: + self.grid.to_file("debug_grid.roff") + + def _process_input(self) -> None: + """Work with a, b, x, ie. inversing and convert from float.""" + logger.info("Process a, b, etc") + + if self.method not in ALLOWED_METHODS: + raise ValueError( + f"The method <{self.method}> is invalid. Allowed: {ALLOWED_METHODS}" + ) + + if isinstance(self.a, (int, float)): + self.a = xtgeo.GridProperty(self.grid, values=self.a) + if isinstance(self.b, (int, float)): + self.b = xtgeo.GridProperty(self.grid, values=self.b) + if isinstance(self.x, (int, float)): + self.x = xtgeo.GridProperty(self.grid, values=self.x) + if isinstance(self.m, (int, float)): + self.m = xtgeo.GridProperty(self.grid, values=self.m) + if isinstance(self.ffl, (int, float)): + self.ffl = xtgeo.GridProperty(self.grid, values=self.ffl) + if isinstance(self.swira, (int, float)): + self.swira = xtgeo.GridProperty(self.grid, values=self.swira) + if isinstance(self.swmax, (int, float)): + self.swmax = xtgeo.GridProperty(self.grid, values=self.swmax) + + if self.invert: + orig_a = self.a.values.mean() + orig_b = self.b.values.mean() + self.b.values = 1.0 / self.b.values + self.a.values = np.ma.power(1.0 / self.a.values, self.b.values) + new_a = self.a.values.mean() + new_b = self.b.values.mean() + logger.info( + "Inverted a and b; original average was %s %s, new is %s %s", + orig_a, + orig_b, + new_a, + new_b, + ) + + def _compute_htop_hbot(self) -> None: + """Setting geometries for 'bottom' and 'top' cell. + + All these values are relative to the given contact, as "height above". For + cells under the contact, zero or a negative number will be applied. + """ + assert isinstance(self.ffl, xtgeo.GridProperty) # mypy + + htop, hbot, hmid = self.grid.get_heights_above_ffl(self.ffl, option=self.method) + + self.htop = htop + self.hbot = hbot + self.hcenter = hmid + logger.info("Use method %s", self.method) + + if self.debug: + htop.name = "TOP_SW" + self.tag + hbot.name = "BOT_SW" + self.tag + hmid.name = "CENTER_SW" + self.tag + if self.project: + logger.debug("TAG is ", self.tag) + htop.to_roxar(self.project, self.gridname, "HTOP" + self.tag) + hbot.to_roxar(self.project, self.gridname, "HBOT" + self.tag) + hmid.to_roxar(self.project, self.gridname, "HCENTER" + self.tag) + else: + htop.to_file(f"debug_htop{self.tag}.roff") + hbot.to_file(f"debug_hbot{self.tag}.roff") + hmid.to_file(f"debug_hcenter{self.tag}.roff") + + def _sw_function_direct(self) -> None: + """Use function on form Sw = A*(M + X*h)^B; generic function!""" + assert isinstance(self.a, xtgeo.GridProperty) # mypy + assert isinstance(self.b, xtgeo.GridProperty) # mypy + assert isinstance(self.x, xtgeo.GridProperty) # mypy + assert isinstance(self.m, xtgeo.GridProperty) # mypy + assert isinstance(self.swira, xtgeo.GridProperty) # mypy + assert isinstance(self.swmax, xtgeo.GridProperty) # mypy + + # the direct function is mostly used to compare with integrated approach, as QC + height = self.hcenter.values + xh_val = self.x.values * height + + self._swval = self.a.values * np.ma.power(self.m.values + xh_val, self.b.values) + + # normalize before any limitations + self._swval = ( + self.swira.values + (self.swmax.values - self.swira.values) * self._swval + ) + + self._swval = np.ma.where(height <= 0.0, 1, self._swval) + self._swval = np.ma.where(self._swval > 1.0, 1.0, self._swval) + + # store result + self._sw = xtgeo.GridProperty(self.grid, values=self._swval) + + def _sw_function_integrate_w_mterm(self) -> None: + """Integrate a function on form Sw = A*(M + JX*H)^B; generic function! + + It assumes here: + * A: self.a + * B: self.b + * X: self.x + * M: self.m + * self.ffl is the free fluid level for the phase under investigation + """ + assert isinstance(self.a, xtgeo.GridProperty) # mypy + assert isinstance(self.b, xtgeo.GridProperty) # mypy + assert isinstance(self.x, xtgeo.GridProperty) # mypy + assert isinstance(self.m, xtgeo.GridProperty) # mypy + assert isinstance(self.swira, xtgeo.GridProperty) # mypy + assert isinstance(self.swmax, xtgeo.GridProperty) # mypy + ht = ( + ((1.0 / self.a.values) ** (1.0 / self.b.values)) - self.m.values + ) / self.x.values # threshold height + + h2 = self.htop.values.copy() # h_top or H2 in integration + h1 = self.hbot.values.copy() # h_bot or H1 in integration + + if self.debug: + tmp = xtgeo.GridProperty(self.grid, values=ht, name="HT" + self.tag) + if self.project: + tmp.to_roxar(self.project, self.gridname, "THRESHOLD HEIGHT" + self.tag) + else: + tmp.to_file(f"debug_ht{self.tag}.roff") + + water = h2 * 0.0 + water = np.ma.where(h2 < ht, 1.0, water) + water = np.ma.where(h2 <= 0.0, 1.0, water) # may occur for negative ht + + # get all possible corner cases when a cell is close to free fluid level + # some of these are probably hitting twice or more; the point is to integrate + # over correct interval + h1x = np.ma.where(h1 <= 0.0, 0.0, h1) + h2x = np.ma.where(h2 <= h1x, h1x, h2) + htx = ht - h1x + htx = np.ma.where(htx <= 0.0, 0.0, htx) + htx = np.ma.where(h2x <= 0.0, 0.0, htx) + hxx = np.ma.where(ht > h1x, ht, h1x) + + dh = h2x - h1x + dh = np.ma.where(dh < 0.001, 0.001, dh) # avoid zero division + + self._swval = ( + htx + + self.a.values + / (self.x.values * (self.b.values + 1)) + * ( + np.ma.power(self.m.values + self.x.values * h2x, self.b.values + 1) + - np.ma.power(self.m.values + self.x.values * hxx, self.b.values + 1) + ) + ) / dh + + # mark collapsed cells, where direct calulation is needed + mark = (h2x - h1x) * 0.0 + mark = np.ma.where(dh <= 0.001, 1.0, mark) + jval = self.x.values * h2x + coll_swval = self.a.values * np.ma.power(self.m.values + jval, self.b.values) + self._swval = np.ma.where(mark > 0.5, coll_swval, self._swval) + + # normalize before any limitations + self._swval = ( + self.swira.values + (self.swmax.values - self.swira.values) * self._swval + ) + + # limit + self._swval = np.ma.where(water > 0.5, 1.0, self._swval) + self._swval = np.ma.where(self._swval > 1.0, 1.0, self._swval) + self._swval = np.ma.where(self._swval < 0.00099, 0.00099, self._swval) + + self._sw = xtgeo.GridProperty(self.grid, values=self._swval) + + def _compute_integrated(self) -> None: + """Compute Sw, integrated version.""" + logger.info("Integration, do integration over height of cell...") + self._sw_function_integrate_w_mterm() + + if self._sw.values.max() > 1.0: + raise RuntimeError(f"SW max out of range: {self._sw.values.max()}") + if self._sw.values.min() < 0.0: + raise RuntimeError(f"SW min out of range: {self._sw.values.min()}") + + def _compute_direct(self) -> None: + """Compute Sw, direct version (less precise wiht thick cells).""" + logger.info("Direct, no integration over height...") + self._sw_function_direct() + + if self._sw.values.max() > 1.0: + raise RuntimeError(f"SW max out of range: {self._sw.values.max()}") + if self._sw.values.min() < 0.0: + raise RuntimeError(f"SW min out of range: {self._sw.values.min()}") + + def compute(self, compute_method: str = "integrated") -> xtgeo.GridProperty: + """Common compute function for saturation, and returns the Sw property""" + if compute_method == "integrated": + self._compute_integrated() + else: + self._compute_direct() + + return self._sw diff --git a/tests/properties/test_swfunction.py b/tests/properties/test_swfunction.py new file mode 100644 index 00000000..2eb8293d --- /dev/null +++ b/tests/properties/test_swfunction.py @@ -0,0 +1,303 @@ +"""Testing properties Sw""" + +# for tests vs RMS cf /private/jriv/work/testing/swfunc/test_swfunc.rms13.1.2 +import math +from pathlib import Path + +import numpy as np +import pytest +import xtgeo +from fmu.tools.properties import SwFunction + +TPATH = Path("../xtgeo-testdata") + +GRIDDATA1 = TPATH / "3dgrids/reek/reek_sim_grid.roff" +PORODATA1 = TPATH / "3dgrids/reek/reek_sim_poro.roff" +PERMDATA1 = TPATH / "3dgrids/reek/reek_sim_permx.roff" + + +@pytest.mark.parametrize( + "avalue, bvalue, ffl, direct, cellmethod, expected_mean", + [ + (1, -2, 13, True, "cell_center_above_ffl", 0.408742), + (1, -2, 13, False, "cell_center_above_ffl", 0.412536), + (0.3, -5, 12.5, True, "cell_center_above_ffl", 0.547251), + (0.3, -5, 12.5, False, "cell_center_above_ffl", 0.549613), + (0.3, -5, 12.5, False, "cell_corners_above_ffl", 0.549613), + ], +) +def test_swj_simple(avalue, bvalue, ffl, direct, cellmethod, expected_mean): + """Test a simple SwJ setup, expected mean are checked with RMS Sw job""" + + grid1 = xtgeo.create_box_grid((10, 10, 20), increment=(1, 1, 1), origin=(0, 0, 0)) + poro = 0.3 + perm = 300 + + xvalue = math.sqrt(perm / poro) + + sw_obj = SwFunction( + grid=grid1, + a=avalue, + b=bvalue, + x=xvalue, + ffl=ffl, + invert=True, + method=cellmethod, + ) + sw = sw_obj.compute("direct" if direct else "integrated") + assert sw.values.mean() == pytest.approx(expected_mean, rel=0.01) + + +def test_swj_simple_threshold_2grids(): + """Test a simple SwJ setup, expected mean are checked with RMS Sw job. + + In this case, the threshold height will be approx 5.42 meters. Values for assertion + are checked in RMS. + """ + + grid1 = xtgeo.create_box_grid((10, 10, 20), increment=(1, 1, 1), origin=(0, 0, 0)) + grid2 = xtgeo.create_box_grid( + (10, 10, 200), increment=(1, 1, 0.1), origin=(12, 0, 0) + ) + poro = 0.3 + perm = 1.0 + avalue = 10.0 + bvalue = -5.0 + ffl = 12.5 + cellmethod = "cell_corners_above_ffl" + + xvalue = math.sqrt(perm / poro) + + sw_obj = SwFunction( + grid=grid1, + a=avalue, + b=bvalue, + x=xvalue, + ffl=ffl, + invert=True, + method=cellmethod, + ) + sw = sw_obj.compute("integrated") + assert sw.values.mean() == pytest.approx(0.9689, rel=0.01) + + sw_obj = SwFunction( + grid=grid2, + a=avalue, + b=bvalue, + x=xvalue, + ffl=ffl, + invert=True, + method=cellmethod, + ) + sw = sw_obj.compute("integrated") + + assert sw.values.mean() == pytest.approx(0.9689, rel=0.01) + assert float(sw.values[0, 0, 70]) == pytest.approx(1, rel=0.0001) + + +@pytest.mark.parametrize( + "direct, cellmethod, expected_mean, exp_cell1", + [ + (True, "cell_center_above_ffl", 0.7057, 0.046719), # n/a vs RMS + (False, "cell_center_above_ffl", 0.70736, 0.046724), # n/a vs RMS + (False, "cell_corners_above_ffl", 0.674485, 0.046791), # n/a vs RMS + ], +) +def test_swj_simple_reek(direct, cellmethod, expected_mean, exp_cell1): + """Test a simple SwJ setup, expected mean are checked with RMS Sw job""" + + avalue = 1 + bvalue = -0.5 + ffl = 1700 + + grid = xtgeo.grid_from_file(GRIDDATA1) + poro = xtgeo.gridproperty_from_file(PORODATA1) + perm = xtgeo.gridproperty_from_file(PERMDATA1) + + xval = perm.copy() + + xval.values = np.ma.sqrt(perm.values / poro.values) + + sw_obj = SwFunction( + grid=grid, + a=avalue, + b=bvalue, + x=xval, + ffl=ffl, + invert=False, + method=cellmethod, + ) + + sw = sw_obj.compute("direct" if direct else "integrated") + + assert sw.values.mean() == pytest.approx(expected_mean, rel=0.01) + + assert float(sw.values[32, 35, 6]) == pytest.approx(exp_cell1, abs=0.0001) + + +def test_sw_bvw(): + """Test a simple BVW setup, expected values are checked from spreadsheet. + + In BVW, the Sw = A * P^B * poro^C + + Here A, B, C can be derived from regressions + + A = a1*poro + a2 + B = b1*poro + b2 + C = c1*poro + c2 ...or... c1*poro + c2 - 1 + + The P kan be normalized capillary pressure, and for gas above an oil zone with + thickness H_oil, this will be + + P = Pcn = H_oil * (gradw - grado)/ado + h * (gradw - gradg)/adg + + """ + poro = 0.3 + a1 = -0.5561 + a2 = 0.3385 + b1 = 0.01985 + b2 = -0.3953 + c1 = 5.648 + c2 = 0.4987 + + rw = 0.1002 + rg = 0.0113 + ro = 0.0785 + + adg = 42.7 + ado = 26.0 + h_oil = 3 + + ffl = 30.5 # FOL in this example + + grid = xtgeo.create_box_grid((1, 1, 200)) + + a_term = a1 * poro + a2 + b_term = b1 * poro + b2 + c_term = c1 * poro + c2 - 1.0 + + assert a_term == pytest.approx(0.171670) + assert b_term == pytest.approx(-0.389345) + assert c_term == pytest.approx(2.193100 - 1.0) + # was done in input + + avalue = a_term * poro**c_term + bvalue = b_term + mvalue = h_oil * (rw - ro) / ado + xvalue = (rw - rg) / adg + + # PCN at 10m above FFL: + + # in practice, this will always be the first term(?) + m10 = min([h_oil * (rw - ro) / ado, max([0, 10 + h_oil * (rw - ro) / ado])]) + + # in practice, this will always be the second term(?) + x10 = max([0, 10 * (rw - rg) / adg]) + assert m10 + x10 == pytest.approx(0.0233235) + + manual10 = a_term * ((m10 + x10) ** b_term) * (poro**c_term) + assert manual10 == pytest.approx(0.176335192) + + sw_obj = SwFunction( + grid=grid, + a=avalue, + b=bvalue, + m=mvalue, + x=xvalue, + ffl=ffl, + method="cell_center_above_ffl", + debug=False, + ) + sw = sw_obj.compute("direct") + + sw10 = float(sw.values[:, :, 20]) # 10 meter above contact + assert sw10 == pytest.approx(manual10) + + sw20 = float(sw.values[:, :, 10]) # 20 meter above contact + assert sw20 == pytest.approx(0.13755086) + + sw = sw_obj.compute("integrated") + sw10_i = float(sw.values[:, :, 20]) + assert sw10_i == pytest.approx(sw10, abs=0.0001) + + +def test_sw_brooks_corey(): + """Test a simple Brooks-Corey setup, expected values are checked from spreadsheet. + + In BVW, the Sw = (PCNe / Pcn)^(1/N) + + Sw,final = Swi + (1-Swi) * Sw + + Perhaps some regressions are made: + Swi = a1*poro + a2 + Pcne = b1*poro^b2 + N = c1*poro + c2 + + + The Pcn is be normalized capillary pressure, and for gas above an oil zone with + thickness H_oil, this will be + + Pcn = H_oil * (gradw - grado)/ado + h * (gradw - gradg)/adg + + a = Pcne^(1/N) + b = (1/N) + x = Pcn + + + """ + poro = 0.3 + a1 = 0.0 + a2 = 0.3 + b1 = 4.4e-06 + b2 = -5.7 + c1 = -28.45 + c2 = 10.42 + + rw = 0.1002 + rg = 0.0113 + ro = 0.0785 + + adg = 42.7 + ado = 26.0 + h_oil = 3 + + ffl = 30.5 # FOL in this example + + grid = xtgeo.create_box_grid((1, 1, 200)) + + swi = a1 * poro + a2 + pcne = b1 * poro**b2 + n = c1 * poro + c2 + + assert swi == pytest.approx(0.3) + assert n == pytest.approx(1.885) + assert pcne == pytest.approx(0.004205925) + + avalue = pcne ** (1.0 / n) + bvalue = -1.0 / n + mvalue = h_oil * (rw - ro) / ado + xvalue = (rw - rg) / adg + + sw_obj = SwFunction( + grid=grid, + a=avalue, + b=bvalue, + m=mvalue, + x=xvalue, + ffl=ffl, + method="cell_center_above_ffl", + debug=False, + ) + sw = sw_obj.compute("direct") + + sw10 = float(sw.values[:, :, 20]) # 10 meter above contact + assert sw10 == pytest.approx(0.40303321) + sw10final = swi + (1 - swi) * sw10 + assert sw10final == pytest.approx(0.582123) + + sw20 = float(sw.values[:, :, 10]) # 20 meter above contact + assert sw20 == pytest.approx(0.28731234) + + sw = sw_obj.compute("integrated") + sw10_i = float(sw.values[:, :, 20]) + assert sw10_i == pytest.approx(sw10, abs=0.001) diff --git a/tests/rms/test_create_rft_ertobs.py b/tests/rms/test_create_rft_ertobs.py index fd5f6e5c..7890329b 100644 --- a/tests/rms/test_create_rft_ertobs.py +++ b/tests/rms/test_create_rft_ertobs.py @@ -9,9 +9,9 @@ import numpy as np import pandas as pd import pytest +from fmu.tools._common import preserve_cwd from fmu.tools.rms import create_rft_ertobs from fmu.tools.rms.create_rft_ertobs import check_and_parse_config -from fmu.tools._common import preserve_cwd logging.basicConfig(level=logging.INFO) diff --git a/tests/rms/test_import_localmodule.py b/tests/rms/test_import_localmodule.py index a1c8a32c..84db3005 100644 --- a/tests/rms/test_import_localmodule.py +++ b/tests/rms/test_import_localmodule.py @@ -3,7 +3,6 @@ import os import sys -import fmu.tools import fmu.tools.rms as toolsrms import pytest from fmu.tools._common import preserve_cwd diff --git a/tests/rms/test_rename_rms_scripts.py b/tests/rms/test_rename_rms_scripts.py index aff8006d..ccc03b3a 100644 --- a/tests/rms/test_rename_rms_scripts.py +++ b/tests/rms/test_rename_rms_scripts.py @@ -6,8 +6,8 @@ from textwrap import dedent import pytest -from fmu.tools.rms.rename_rms_scripts import PythonCompMaster, main from fmu.tools._common import preserve_cwd +from fmu.tools.rms.rename_rms_scripts import PythonCompMaster, main logging.basicConfig(level=logging.INFO) diff --git a/tests/sensitivities/test_designmatrix.py b/tests/sensitivities/test_designmatrix.py index 786c205a..b20a5e0a 100644 --- a/tests/sensitivities/test_designmatrix.py +++ b/tests/sensitivities/test_designmatrix.py @@ -6,9 +6,9 @@ import pandas as pd import pytest +from fmu.tools._common import preserve_cwd from fmu.tools.sensitivities import DesignMatrix from packaging import version -from fmu.tools._common import preserve_cwd TESTDATA = Path(__file__).parent / "data" diff --git a/tests/sensitivities/test_excel2dict.py b/tests/sensitivities/test_excel2dict.py index 5caa4d2f..a0680059 100644 --- a/tests/sensitivities/test_excel2dict.py +++ b/tests/sensitivities/test_excel2dict.py @@ -5,10 +5,10 @@ import numpy as np import pandas as pd import pytest +from fmu.tools._common import preserve_cwd from fmu.tools.sensitivities import excel2dict_design, inputdict_to_yaml from fmu.tools.sensitivities._excel2dict import _has_value from packaging import version -from fmu.tools._common import preserve_cwd MOCK_GENERAL_INPUT = pd.DataFrame( data=[ diff --git a/tests/sensitivities/test_use_cases.py b/tests/sensitivities/test_use_cases.py index bbf2efac..8c24c28e 100644 --- a/tests/sensitivities/test_use_cases.py +++ b/tests/sensitivities/test_use_cases.py @@ -2,9 +2,9 @@ import pandas as pd import pytest +from fmu.tools._common import preserve_cwd from fmu.tools.sensitivities import DesignMatrix, excel2dict_design from packaging import version -from fmu.tools._common import preserve_cwd @preserve_cwd diff --git a/tests/test_ensembles/test_ensemble_well_props.py b/tests/test_ensembles/test_ensemble_well_props.py index 66187ec7..e577938e 100644 --- a/tests/test_ensembles/test_ensemble_well_props.py +++ b/tests/test_ensembles/test_ensemble_well_props.py @@ -7,8 +7,8 @@ import pytest import xtgeo import yaml -from fmu.tools.ensembles import ensemble_well_props from fmu.tools._common import preserve_cwd +from fmu.tools.ensembles import ensemble_well_props SOURCE = pathlib.Path(__file__).absolute().parent.parent.parent

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