mirror of
https://github.com/OPM/ResInsight.git
synced 2025-02-25 18:55:39 -06:00
Added RigStatistics
p4#: 20695
This commit is contained in:
Magne Sjaastad
parent
4c955ece4a
commit
a63c656a48
@ -16,6 +16,7 @@ ${CEE_CURRENT_LIST_DIR}RigLocalGrid.h
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${CEE_CURRENT_LIST_DIR}RigMainGrid.h
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${CEE_CURRENT_LIST_DIR}RigReservoirBuilderMock.h
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${CEE_CURRENT_LIST_DIR}RigReservoirCellResults.h
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${CEE_CURRENT_LIST_DIR}RigStatistics.h
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${CEE_CURRENT_LIST_DIR}RigWellResults.h
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)
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@ -30,6 +31,7 @@ ${CEE_CURRENT_LIST_DIR}RigLocalGrid.cpp
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${CEE_CURRENT_LIST_DIR}RigMainGrid.cpp
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${CEE_CURRENT_LIST_DIR}RigReservoirBuilderMock.cpp
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${CEE_CURRENT_LIST_DIR}RigReservoirCellResults.cpp
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${CEE_CURRENT_LIST_DIR}RigStatistics.cpp
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${CEE_CURRENT_LIST_DIR}RigWellResults.cpp
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)
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260
ApplicationCode/ReservoirDataModel/RigStatistics.cpp
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260
ApplicationCode/ReservoirDataModel/RigStatistics.cpp
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@ -0,0 +1,260 @@
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/////////////////////////////////////////////////////////////////////////////////
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//
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// Copyright (C) 2011-2012 Statoil ASA, Ceetron AS
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//
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// ResInsight is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or
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// FITNESS FOR A PARTICULAR PURPOSE.
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//
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// See the GNU General Public License at <http://www.gnu.org/licenses/gpl.html>
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// for more details.
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//
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/////////////////////////////////////////////////////////////////////////////////
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#include "RigStatistics.h"
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#include "RigReservoirCellResults.h"
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#include <QDebug>
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigStatistics::addNamedResult(RigReservoirCellResults* cellResults, RimDefines::ResultCatType resultType, const QString& resultName, size_t activeCellCount)
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{
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size_t resultIndexMin = cellResults->addEmptyScalarResult(resultType, resultName);
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std::vector< std::vector<double> >& dataValues = cellResults->cellScalarResults(resultIndexMin);
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dataValues.resize(m_timeStepIndices.size());
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for (size_t i = 0; i < m_timeStepIndices.size(); i++)
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{
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dataValues[i].resize(activeCellCount, HUGE_VAL);
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}
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigStatistics::computeActiveCellUnion()
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{
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// Early exit if active cell union is already computed
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if (m_destinationCase->activeCellInfo()->globalFractureModelActiveCellCount() +
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m_destinationCase->activeCellInfo()->globalFractureModelActiveCellCount() > 0)
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{
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return;
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}
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std::vector<char> activeM(m_globalCellCount, 0);
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std::vector<char> activeF(m_globalCellCount, 0);
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for (size_t cellIdx = 0; cellIdx < m_globalCellCount; cellIdx++)
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{
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for (size_t caseIdx = 0; caseIdx < m_sourceCases.size(); caseIdx++)
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{
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if (activeM[cellIdx] == 0)
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{
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if (m_sourceCases[caseIdx]->activeCellInfo()->isActiveInMatrixModel(cellIdx))
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{
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activeM[cellIdx] = 1;
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}
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}
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if (activeF[cellIdx] == 0)
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{
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if (m_sourceCases[caseIdx]->activeCellInfo()->isActiveInFractureModel(cellIdx))
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{
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activeF[cellIdx] = 1;
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}
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}
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}
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}
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m_destinationCase->activeCellInfo()->setGlobalCellCount(m_globalCellCount);
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size_t activeMIndex = 0;
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size_t activeFIndex = 0;
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for (size_t cellIdx = 0; cellIdx < m_globalCellCount; cellIdx++)
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{
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if (activeM[cellIdx] != 0)
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{
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m_destinationCase->activeCellInfo()->setActiveIndexInMatrixModel(cellIdx, activeMIndex++);
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}
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if (activeF[cellIdx] != 0)
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{
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m_destinationCase->activeCellInfo()->setActiveIndexInFractureModel(cellIdx, activeFIndex++);
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}
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}
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m_destinationCase->activeCellInfo()->computeDerivedData();
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigStatistics::evaluateStatistics(RimDefines::ResultCatType resultType, const QString& resultName)
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{
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CVF_ASSERT(m_destinationCase.notNull());
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computeActiveCellUnion();
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QString minResultName = resultName + "_MIN";
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QString maxResultName = resultName + "_MAX";
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QString meanResultName = resultName + "_MEAN";
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QString devResultName = resultName + "_DEV";
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RigReservoirCellResults* matrixResults = m_destinationCase->results(RifReaderInterface::MATRIX_RESULTS);
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size_t activeMatrixCellCount = m_destinationCase->activeCellInfo()->globalMatrixModelActiveCellCount();
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if (activeMatrixCellCount > 0)
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{
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addNamedResult(matrixResults, resultType, minResultName, activeMatrixCellCount);
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addNamedResult(matrixResults, resultType, maxResultName, activeMatrixCellCount);
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addNamedResult(matrixResults, resultType, meanResultName, activeMatrixCellCount);
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addNamedResult(matrixResults, resultType, devResultName, activeMatrixCellCount);
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}
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if (activeMatrixCellCount > 0)
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{
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for (size_t timeIndicesIdx = 0; timeIndicesIdx < m_timeStepIndices.size(); timeIndicesIdx++)
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{
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size_t timeStepIdx = m_timeStepIndices[timeIndicesIdx];
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size_t gridCount = 0;
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for (size_t gridIdx = 0; gridIdx < m_destinationCase->gridCount(); gridIdx++)
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{
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RigGridBase* grid = m_destinationCase->grid(gridIdx);
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// Build data access objects for source scalar results
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cvf::Collection<cvf::StructGridScalarDataAccess> dataAccesObjectList;
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for (size_t caseIdx = 0; caseIdx < m_sourceCases.size(); caseIdx++)
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{
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RigEclipseCase* eclipseCase = m_sourceCases.at(caseIdx);
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size_t scalarResultIndex = eclipseCase->results(RifReaderInterface::MATRIX_RESULTS)->findOrLoadScalarResult(resultName);
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cvf::ref<cvf::StructGridScalarDataAccess> dataAccessObject = eclipseCase->dataAccessObject(grid, RifReaderInterface::MATRIX_RESULTS, timeStepIdx, scalarResultIndex);
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if (dataAccessObject.notNull())
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{
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dataAccesObjectList.push_back(dataAccessObject.p());
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}
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}
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// Build data access objects form destination scalar results
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cvf::ref<cvf::StructGridScalarDataAccess> dataAccessObjectMin = NULL;
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cvf::ref<cvf::StructGridScalarDataAccess> dataAccessObjectMax = NULL;
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cvf::ref<cvf::StructGridScalarDataAccess> dataAccessObjectMean = NULL;
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cvf::ref<cvf::StructGridScalarDataAccess> dataAccessObjectDev = NULL;
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{
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size_t scalarResultIndex = matrixResults->findScalarResultIndex(RimDefines::DYNAMIC_NATIVE, minResultName);
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if (scalarResultIndex != cvf::UNDEFINED_SIZE_T)
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{
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dataAccessObjectMin = m_destinationCase->dataAccessObject(grid, RifReaderInterface::MATRIX_RESULTS, timeStepIdx, scalarResultIndex);
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}
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}
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{
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size_t scalarResultIndex = matrixResults->findScalarResultIndex(RimDefines::DYNAMIC_NATIVE, maxResultName);
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if (scalarResultIndex != cvf::UNDEFINED_SIZE_T)
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{
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dataAccessObjectMax = m_destinationCase->dataAccessObject(grid, RifReaderInterface::MATRIX_RESULTS, timeStepIdx, scalarResultIndex);
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}
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}
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{
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size_t scalarResultIndex = matrixResults->findScalarResultIndex(RimDefines::DYNAMIC_NATIVE, meanResultName);
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if (scalarResultIndex != cvf::UNDEFINED_SIZE_T)
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{
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dataAccessObjectMean = m_destinationCase->dataAccessObject(grid, RifReaderInterface::MATRIX_RESULTS, timeStepIdx, scalarResultIndex);
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}
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}
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{
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size_t scalarResultIndex = matrixResults->findScalarResultIndex(RimDefines::DYNAMIC_NATIVE, devResultName);
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if (scalarResultIndex != cvf::UNDEFINED_SIZE_T)
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{
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dataAccessObjectDev = m_destinationCase->dataAccessObject(grid, RifReaderInterface::MATRIX_RESULTS, timeStepIdx, scalarResultIndex);
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}
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}
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double min, max, mean, dev;
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std::vector<double> values(dataAccesObjectList.size(), HUGE_VAL);
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for (size_t cellIdx = 0; cellIdx < grid->cellCount(); cellIdx++)
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{
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size_t globalGridCellIdx = grid->globalGridCellIndex(cellIdx);
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if (m_destinationCase->activeCellInfo()->isActiveInMatrixModel(globalGridCellIdx))
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{
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for (size_t caseIdx = 0; caseIdx < dataAccesObjectList.size(); caseIdx++)
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{
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double val = dataAccesObjectList.at(caseIdx)->cellScalar(cellIdx);
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values[caseIdx] = val;
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}
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RigStatisticsEvaluator stat(values);
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stat.getStatistics(min, max, mean, dev);
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if (dataAccessObjectMin.notNull())
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{
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dataAccessObjectMin->setCellScalar(cellIdx, min);
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}
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if (dataAccessObjectMax.notNull())
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{
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dataAccessObjectMax->setCellScalar(cellIdx, max);
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}
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if (dataAccessObjectMean.notNull())
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{
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dataAccessObjectMean->setCellScalar(cellIdx, mean);
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}
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if (dataAccessObjectDev.notNull())
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{
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dataAccessObjectDev->setCellScalar(cellIdx, dev);
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}
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}
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}
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}
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}
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}
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigStatistics::debugOutput(RimDefines::ResultCatType resultType, const QString& resultName, size_t timeStepIdx)
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{
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qDebug() << resultName << "timeIdx : " << timeStepIdx;
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RigReservoirCellResults* matrixResults = m_destinationCase->results(RifReaderInterface::MATRIX_RESULTS);
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size_t scalarResultIndex = m_destinationCase->results(RifReaderInterface::MATRIX_RESULTS)->findOrLoadScalarResult(resultName);
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cvf::ref<cvf::StructGridScalarDataAccess> dataAccessObject = m_destinationCase->dataAccessObject(m_destinationCase->mainGrid(), RifReaderInterface::MATRIX_RESULTS, timeStepIdx, scalarResultIndex);
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if (dataAccessObject.isNull()) return;
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for (size_t cellIdx = 0; cellIdx < m_globalCellCount; cellIdx++)
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{
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qDebug() << dataAccessObject->cellScalar(cellIdx);
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}
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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RigStatistics::RigStatistics(cvf::Collection<RigEclipseCase>& sourceCases, const std::vector<size_t>& timeStepIndices, const RigStatisticsConfig& statisticsConfig, RigEclipseCase* destinationCase) : m_sourceCases(sourceCases),
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m_statisticsConfig(statisticsConfig),
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m_destinationCase(destinationCase),
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m_globalCellCount(0),
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m_timeStepIndices(timeStepIndices)
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{
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if (sourceCases.size() > 0)
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{
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m_globalCellCount = sourceCases[0]->mainGrid()->cells().size();
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}
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}
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147
ApplicationCode/ReservoirDataModel/RigStatistics.h
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147
ApplicationCode/ReservoirDataModel/RigStatistics.h
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@ -0,0 +1,147 @@
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/////////////////////////////////////////////////////////////////////////////////
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//
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// Copyright (C) 2011-2012 Statoil ASA, Ceetron AS
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//
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// ResInsight is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or
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// FITNESS FOR A PARTICULAR PURPOSE.
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//
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// See the GNU General Public License at <http://www.gnu.org/licenses/gpl.html>
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// for more details.
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//
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/////////////////////////////////////////////////////////////////////////////////
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#pragma once
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#include "cvfBase.h"
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#include "cvfObject.h"
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#include "cvfCollection.h"
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#include <vector>
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#include "RigEclipseCase.h"
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class RigStatisticsEvaluator
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{
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public:
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RigStatisticsEvaluator(const std::vector<double>& values)
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: m_values(values),
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m_min(HUGE_VAL),
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m_max(-HUGE_VAL),
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m_mean(cvf::UNDEFINED_DOUBLE),
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m_dev(0.0)
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{
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}
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void getStatistics(double& min, double& max, double& mean, double& dev)
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{
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evaluate();
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min = m_min;
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max = m_max;
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mean = m_mean;
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dev = m_dev;
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}
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private:
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void evaluate()
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{
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double sum = 0.0;
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double sumSquared = 0.0;
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size_t validValueCount = 0;
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for (size_t i = 0; i < m_values.size(); i++)
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{
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double val = m_values[i];
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if (val == HUGE_VAL) continue;
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validValueCount++;
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if (val < m_min) m_min = val;
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if (val > m_max) m_max = val;
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sum += val;
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sumSquared += (val * val);
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}
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if (validValueCount > 0)
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{
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m_mean = sum / validValueCount;
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// http://en.wikipedia.org/wiki/Standard_deviation#Rapid_calculation_methods
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// Running standard deviation
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double s0 = validValueCount;
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double s1 = sum;
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double s2 = sumSquared;
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m_dev = cvf::Math::sqrt( (s0 * s2) - (s1 * s1) ) / s0;
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}
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}
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private:
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const std::vector<double>& m_values;
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double m_min;
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double m_max;
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double m_mean;
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double m_dev;
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};
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class RigStatisticsConfig
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{
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public:
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RigStatisticsConfig()
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: m_min(true),
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m_max(true),
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m_mean(true),
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m_stdDev(true)
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{
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}
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public:
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bool m_min;
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bool m_max;
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bool m_mean;
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bool m_stdDev;
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};
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class RigStatistics
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{
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public:
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RigStatistics(cvf::Collection<RigEclipseCase>& sourceCases,
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const std::vector<size_t>& timeStepIndices,
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const RigStatisticsConfig& statisticsConfig,
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RigEclipseCase* destinationCase);
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void evaluateStatistics(RimDefines::ResultCatType resultType, const QString& resultName);
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void debugOutput(RimDefines::ResultCatType resultType, const QString& resultName, size_t timeStepIdx);
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private:
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void computeActiveCellUnion();
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void addNamedResult(RigReservoirCellResults* cellResults, RimDefines::ResultCatType resultType, const QString& resultName, size_t activeCellCount);
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private:
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cvf::Collection<RigEclipseCase> m_sourceCases;
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std::vector<size_t> m_timeStepIndices;
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size_t m_globalCellCount;
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RigStatisticsConfig m_statisticsConfig;
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cvf::ref<RigEclipseCase> m_destinationCase;
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};
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