ResInsight/ApplicationLibCode/UnitTests/RigWellPathGeometryTools-Test.cpp

180 lines
6.6 KiB
C++

/////////////////////////////////////////////////////////////////////////////////
//
// Copyright (C) 2019- Equinor ASA
//
// ResInsight is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or
// FITNESS FOR A PARTICULAR PURPOSE.
//
// See the GNU General Public License at <http://www.gnu.org/licenses/gpl.html>
// for more details.
//
/////////////////////////////////////////////////////////////////////////////////
#include "gtest/gtest.h"
#include "Well/RigWellPathGeometryTools.h"
#include <algorithm>
#include <complex>
#include <vector>
#define TOLERANCE 1.0e-7
#define SOLVER_TOLERANCE
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
TEST( RigWellPathGeometryTools, VerticalPath )
{
std::vector<double> mdValues = { 100, 500, 1000 };
std::vector<double> tvdValues = { 100, 500, 1000 };
std::vector<double> fullTVDValues = { 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000 };
std::vector<double> fullMDValues = RigWellPathGeometryTools::interpolateMdFromTvd( mdValues, tvdValues, fullTVDValues );
EXPECT_EQ( fullTVDValues.size(), fullMDValues.size() );
for ( size_t i = 0; i < fullTVDValues.size(); ++i )
{
EXPECT_NEAR( fullTVDValues[i], fullMDValues[i], TOLERANCE );
}
}
TEST( RigWellPathGeometryTools, LinearPath )
{
std::vector<double> mdValues = { 100, 500, 1000 };
std::vector<double> tvdValues = { 50, 250, 500 };
std::vector<double> fullTVDValues = { 50, 100, 150, 200, 250, 300, 350, 400, 450, 500 };
std::vector<double> fullMDValues = RigWellPathGeometryTools::interpolateMdFromTvd( mdValues, tvdValues, fullTVDValues );
EXPECT_EQ( fullTVDValues.size(), fullMDValues.size() );
for ( size_t i = 0; i < fullTVDValues.size(); ++i )
{
EXPECT_NEAR( 2.0 * fullTVDValues[i], fullMDValues[i], TOLERANCE );
}
}
TEST( RigWellPathGeometryTools, LinearPathStartingAtZero )
{
std::vector<double> mdValues = { 0, 100, 500, 1000 };
std::vector<double> tvdValues = { 0, 50, 250, 500 };
std::vector<double> fullTVDValues = { 0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500 };
std::vector<double> fullMDValues = RigWellPathGeometryTools::interpolateMdFromTvd( mdValues, tvdValues, fullTVDValues );
EXPECT_EQ( fullTVDValues.size(), fullMDValues.size() );
for ( size_t i = 0; i < fullTVDValues.size(); ++i )
{
EXPECT_NEAR( 2.0 * fullTVDValues[i], fullMDValues[i], TOLERANCE );
}
}
TEST( RigWellPathGeometryTools, ShortLinearPathStartingAtZero )
{
std::vector<double> mdValues = { 0, 1000.0 };
std::vector<double> tvdValues = { 2000.0, 4000 };
std::vector<double> fullTVDValues = { 0, 2000.0, 3000, 4000.0 };
std::vector<double> expectedMDValues = { 0.0, 0.0, 500, 1000.0 };
std::vector<double> fullMDValues = RigWellPathGeometryTools::interpolateMdFromTvd( mdValues, tvdValues, fullTVDValues );
EXPECT_EQ( fullTVDValues.size(), fullMDValues.size() );
for ( size_t i = 0; i < fullTVDValues.size(); ++i )
{
EXPECT_NEAR( expectedMDValues[i], fullMDValues[i], TOLERANCE );
}
}
double quadraticFunction( double x )
{
return 0.0015 * std::pow( x, 2 ) - 0.25 * x + 100;
}
TEST( RigWellPathGeometryTools, QuadraticPath )
{
std::vector<double> mdValues = { 100, 300, 600, 1000 };
std::vector<double> tvdValues;
for ( double md : mdValues )
{
tvdValues.push_back( quadraticFunction( md ) );
}
std::vector<double> fullMDValues = { 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000 };
std::vector<double> fullTvdValues;
for ( double md : fullMDValues )
{
fullTvdValues.push_back( quadraticFunction( md ) );
}
std::vector<double> estimatedFullMDValues = RigWellPathGeometryTools::interpolateMdFromTvd( mdValues, tvdValues, fullTvdValues );
EXPECT_EQ( estimatedFullMDValues.size(), fullMDValues.size() );
for ( size_t i = 0; i < estimatedFullMDValues.size(); ++i )
{
if ( std::find( mdValues.begin(), mdValues.end(), estimatedFullMDValues[i] ) != mdValues.end() )
{
EXPECT_NEAR( fullMDValues[i], estimatedFullMDValues[i], TOLERANCE );
}
}
}
double cubicFunction( double x )
{
return 0.000012 * std::pow( x, 3 ) - 0.0175 * std::pow( x, 2 ) + 7 * x;
}
TEST( RigWellPathGeometryTools, CubicPath )
{
std::vector<double> mdValues = { 100, 300, 700, 1000 };
std::vector<double> tvdValues;
for ( double md : mdValues )
{
tvdValues.push_back( cubicFunction( md ) );
}
std::vector<double> fullMDValues = { 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000 };
std::vector<double> fullTvdValues;
for ( double md : fullMDValues )
{
fullTvdValues.push_back( cubicFunction( md ) );
}
std::vector<double> estimatedFullMDValues = RigWellPathGeometryTools::interpolateMdFromTvd( mdValues, tvdValues, fullTvdValues );
EXPECT_EQ( estimatedFullMDValues.size(), fullMDValues.size() );
for ( size_t i = 0; i < estimatedFullMDValues.size(); ++i )
{
if ( std::find( mdValues.begin(), mdValues.end(), estimatedFullMDValues[i] ) != mdValues.end() )
{
EXPECT_NEAR( fullMDValues[i], estimatedFullMDValues[i], TOLERANCE );
}
}
}
TEST( RigWellPathGeometryTools, CubicPathPoorSampling )
{
std::vector<double> mdValues = { 100, 300, 600, 1000 };
std::vector<double> tvdValues;
for ( double md : mdValues )
{
tvdValues.push_back( cubicFunction( md ) );
}
std::vector<double> fullMDValues = { 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000 };
std::vector<double> fullTvdValues;
for ( double md : fullMDValues )
{
fullTvdValues.push_back( cubicFunction( md ) );
}
std::vector<double> estimatedFullMDValues = RigWellPathGeometryTools::interpolateMdFromTvd( mdValues, tvdValues, fullTvdValues );
EXPECT_EQ( estimatedFullMDValues.size(), fullMDValues.size() );
for ( size_t i = 0; i < estimatedFullMDValues.size(); ++i )
{
if ( std::find( mdValues.begin(), mdValues.end(), estimatedFullMDValues[i] ) != mdValues.end() )
{
EXPECT_NEAR( fullMDValues[i], estimatedFullMDValues[i], TOLERANCE );
}
}
}