mirror of
https://github.com/OPM/opm-simulators.git
synced 2025-01-09 07:53:04 -06:00
467 lines
14 KiB
C++
467 lines
14 KiB
C++
/*
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Copyright 2015 SINTEF ICT, Applied Mathematics.
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This file is part of the Open Porous Media project (OPM).
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OPM 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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OPM is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with OPM. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "config.h"
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#include <opm/autodiff/VFPProperties.hpp>
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#include <opm/autodiff/AutoDiffHelpers.hpp>
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#include <opm/core/props/BlackoilPhases.hpp>
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#include <algorithm>
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namespace Opm {
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VFPProperties::VFPProperties() {
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}
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VFPProperties::VFPProperties(const VFPInjTable* inj_table, const VFPProdTable* prod_table) {
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if (inj_table != NULL) {
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//FIXME: Implement VFPInjProperties
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OPM_THROW(std::logic_error, "VFPInjProperties not implemented yet");
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}
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if (prod_table != NULL) {
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m_prod.reset(new VFPProdProperties(prod_table));
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}
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}
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VFPProperties::VFPProperties(const std::map<int, VFPInjTable>& inj_tables,
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const std::map<int, VFPProdTable>& prod_tables) {
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//FIXME: Implement VFPInjProperties
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OPM_THROW(std::logic_error, "VFPInjProperties not implemented yet");
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m_prod.reset(new VFPProdProperties(prod_tables));
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}
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VFPProperties::VFPProperties(const std::map<int, VFPInjTable>& inj_tables) {
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//FIXME: Implement VFPInjProperties
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OPM_THROW(std::logic_error, "VFPInjProperties not implemented yet");
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}
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VFPProperties::VFPProperties(const std::map<int, VFPProdTable>& prod_tables) {
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m_prod.reset(new VFPProdProperties(prod_tables));
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}
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VFPProdProperties::VFPProdProperties() {
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}
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VFPProdProperties::VFPProdProperties(const VFPProdTable* table){
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m_tables[table->getTableNum()] = table;
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}
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VFPProdProperties::VFPProdProperties(const std::map<int, VFPProdTable>& tables) {
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init(tables);
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}
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void VFPProdProperties::init(const std::map<int, VFPProdTable>& prod_tables) {
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//Populate production table pointers
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for (const auto& table : prod_tables) {
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m_tables[table.first] = &table.second;
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}
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}
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VFPProdProperties::ADB::V VFPProdProperties::bhp(int table_id,
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const Wells& wells,
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const ADB::V& qs,
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const ADB::V& thp,
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const ADB::V& alq) const {
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const int np = wells.number_of_phases;
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const int nw = wells.number_of_wells;
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//Short-hands for water / oil / gas phases
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//TODO enable support for two-phase.
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assert(np == 3);
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const ADB::V& w = subset(qs, Span(nw, 1, BlackoilPhases::Aqua*nw));
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const ADB::V& o = subset(qs, Span(nw, 1, BlackoilPhases::Liquid*nw));
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const ADB::V& g = subset(qs, Span(nw, 1, BlackoilPhases::Vapour*nw));
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return bhp(table_id, w, o, g, thp, alq);
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}
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VFPProdProperties::ADB::V VFPProdProperties::bhp(int table_id,
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const ADB::V& aqua,
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const ADB::V& liquid,
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const ADB::V& vapour,
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const ADB::V& thp,
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const ADB::V& alq) const {
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const int nw = thp.size();
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assert(aqua.size() == nw);
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assert(liquid.size() == nw);
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assert(vapour.size() == nw);
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assert(thp.size() == nw);
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assert(alq.size() == nw);
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//Compute the BHP for each well independently
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ADB::V bhp_vals;
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bhp_vals.resize(nw);
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for (int i=0; i<nw; ++i) {
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bhp_vals[i] = bhp(table_id, aqua[i], liquid[i], vapour[i], thp[i], alq[i]);
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}
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return bhp_vals;
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}
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double VFPProdProperties::bhp(int table_id,
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const double& aqua,
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const double& liquid,
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const double& vapour,
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const double& thp,
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const double& alq) const {
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const VFPProdTable* table = getProdTable(table_id);
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//Find interpolation variables
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double flo = getFlo(aqua, liquid, vapour, table->getFloType());
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double wfr = getWFR(aqua, liquid, vapour, table->getWFRType());
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double gfr = getGFR(aqua, liquid, vapour, table->getGFRType());
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//First, find the values to interpolate between
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auto flo_i = find_interp_data(flo, table->getFloAxis());
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auto thp_i = find_interp_data(thp, table->getTHPAxis());
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auto wfr_i = find_interp_data(wfr, table->getWFRAxis());
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auto gfr_i = find_interp_data(gfr, table->getGFRAxis());
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auto alq_i = find_interp_data(alq, table->getALQAxis());
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//Then perform the interpolation itself
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return interpolate(table->getTable(), flo_i, thp_i, wfr_i, gfr_i, alq_i);
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}
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double VFPProdProperties::thp(int table_id,
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const double& aqua,
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const double& liquid,
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const double& vapour,
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const double& bhp,
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const double& alq) const {
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const VFPProdTable* table = getProdTable(table_id);
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const VFPProdTable::array_type& data = table->getTable();
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double thp = -1e100;
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//Find interpolation variables
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double flo = getFlo(aqua, liquid, vapour, table->getFloType());
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double wfr = getWFR(aqua, liquid, vapour, table->getWFRType());
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double gfr = getGFR(aqua, liquid, vapour, table->getGFRType());
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/**
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* Get THP axis, assume that it is sorted
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*/
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const std::vector<double> thp_array = table->getTHPAxis();
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int nthp = thp_array.size();
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assert(std::is_sorted(thp_array.begin(), thp_array.end()));
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/**
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* Find the function bhp_array(thp) by creating a 1D view of the data
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* by interpolating for every value of thp. This might be somewhat
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* expensive, but let us assome that nthp is small
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*/
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auto flo_i = find_interp_data(flo, table->getFloAxis());
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auto wfr_i = find_interp_data(wfr, table->getWFRAxis());
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auto gfr_i = find_interp_data(gfr, table->getGFRAxis());
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auto alq_i = find_interp_data(alq, table->getALQAxis());
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std::vector<double> bhp_array(nthp);
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for (int i=0; i<nthp; ++i) {
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auto thp_i = find_interp_data(thp_array[i], thp_array);
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bhp_array[i] = interpolate(data, flo_i, thp_i, wfr_i, gfr_i, alq_i);
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}
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/**
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* Our *interpolated* bhp_array will be montoic increasing for increasing
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* THP if our input BHP values are monotonic increasing for increasing
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* THP values. However, if we have to *extrapolate* along any of the other
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* axes, this guarantee holds no more, and bhp_array may be "random"
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*/
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if (std::is_sorted(bhp_array.begin(), bhp_array.end())) {
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//Target bhp less than all values in array, extrapolate
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if (bhp <= bhp_array[0]) {
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//TODO: LOG extrapolation
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const double& x0 = thp_array[0];
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const double& x1 = thp_array[1];
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const double& y0 = bhp_array[0];
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const double& y1 = bhp_array[1];
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thp = find_x(x0, x1, y0, y1, bhp);
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}
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//Target bhp greater than all values in array, extrapolate
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else if (bhp > bhp_array[nthp-1]) {
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//TODO: LOG extrapolation
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const double& x0 = thp_array[nthp-2];
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const double& x1 = thp_array[nthp-1];
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const double& y0 = bhp_array[nthp-2];
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const double& y1 = bhp_array[nthp-1];
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thp = find_x(x0, x1, y0, y1, bhp);
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}
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//Target bhp within table ranges, interpolate
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else {
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//Loop over the values and find min(bhp_array(thp)) == bhp
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//so that we maximize the rate.
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//Find i so that bhp_array[i-1] <= bhp <= bhp_array[i];
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//Assuming a small number of values in bhp_array, this should be quite
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//efficient. Other strategies might be bisection, etc.
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int i=0;
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bool found = false;
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for (; i<nthp-1; ++i) {
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const double& y0 = bhp_array[i ];
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const double& y1 = bhp_array[i+1];
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if (y0 < bhp && bhp <= y1) {
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found = true;
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break;
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}
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}
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//Canary in a coal mine: shouldn't really be required
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assert(found == true);
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const double& x0 = thp_array[i ];
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const double& x1 = thp_array[i+1];
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const double& y0 = bhp_array[i ];
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const double& y1 = bhp_array[i+1];
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thp = find_x(x0, x1, y0, y1, bhp);
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}
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}
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//bhp_array not sorted, raw search.
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else {
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//Find i so that bhp_array[i-1] <= bhp <= bhp_array[i];
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//Since the BHP values might not be sorted, first search within
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//our interpolation values, and then try to extrapolate.
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int i=0;
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bool found = false;
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for (; i<nthp-1; ++i) {
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const double& y0 = bhp_array[i ];
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const double& y1 = bhp_array[i+1];
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if (y0 < bhp && bhp <= y1) {
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found = true;
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break;
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}
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}
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if (found) {
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const double& x0 = thp_array[i ];
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const double& x1 = thp_array[i+1];
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const double& y0 = bhp_array[i ];
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const double& y1 = bhp_array[i+1];
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thp = find_x(x0, x1, y0, y1, bhp);
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}
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else if (bhp <= bhp_array[0]) {
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//TODO: LOG extrapolation
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const double& x0 = thp_array[0];
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const double& x1 = thp_array[1];
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const double& y0 = bhp_array[0];
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const double& y1 = bhp_array[1];
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thp = find_x(x0, x1, y0, y1, bhp);
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}
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//Target bhp greater than all values in array, extrapolate
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else if (bhp > bhp_array[nthp-1]) {
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//TODO: LOG extrapolation
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const double& x0 = thp_array[nthp-2];
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const double& x1 = thp_array[nthp-1];
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const double& y0 = bhp_array[nthp-2];
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const double& y1 = bhp_array[nthp-1];
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thp = find_x(x0, x1, y0, y1, bhp);
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}
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else {
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OPM_THROW(std::logic_error, "Programmer error: Unable to find THP in THP array");
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}
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}
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return thp;
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}
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const VFPProdTable* VFPProdProperties::getProdTable(int table_id) const {
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auto entry = m_tables.find(table_id);
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if (entry == m_tables.end()) {
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OPM_THROW(std::invalid_argument, "Nonexistent table " << table_id << " referenced.");
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}
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else {
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return entry->second;
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}
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}
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VFPProdProperties::InterpData VFPProdProperties::find_interp_data(const double& value, const std::vector<double>& values) {
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InterpData retval;
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//First element greater than or equal to value
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//Start with the second element, so that floor_iter does not go out of range
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//Don't access out-of-range, therefore values.end()-1
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auto ceil_iter = std::lower_bound(values.begin()+1, values.end()-1, value);
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//Find last element smaller than range
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auto floor_iter = ceil_iter-1;
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//Find the indices
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const int a = floor_iter - values.begin();
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const int b = ceil_iter - values.begin();
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const int max_size = std::max(static_cast<int>(values.size()) - 1, 0);
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//Clamp indices to range of vector
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retval.ind_[0] = a;
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retval.ind_[1] = std::min(b, max_size);
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//Find interpolation ratio
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double dist = (*ceil_iter - *floor_iter);
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assert(dist >= 0.0);
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if (dist > 0.0) {
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//Possible source for floating point error here if value and floor are large,
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//but very close to each other
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retval.factor_ = (value-*floor_iter) / dist;
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}
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else {
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retval.factor_ = 1.0;
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}
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return retval;
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}
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#ifdef __GNUC__
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#pragma GCC push_options
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#pragma GCC optimize ("unroll-loops")
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#endif
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double VFPProdProperties::interpolate(const VFPProdTable::array_type& array,
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const InterpData& flo_i,
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const InterpData& thp_i,
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const InterpData& wfr_i,
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const InterpData& gfr_i,
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const InterpData& alq_i) {
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double nn[2][2][2][2][2];
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//Pick out nearest neighbors (nn) to our evaluation point
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//This is not really required, but performance-wise it may pay off, since the 32-elements
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//we copy to (nn) will fit better in cache than the full original table for the
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//interpolation below.
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//The following ladder of for loops will presumably be unrolled by a reasonable compiler.
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for (int t=0; t<=1; ++t) {
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for (int w=0; w<=1; ++w) {
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for (int g=0; g<=1; ++g) {
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for (int a=0; a<=1; ++a) {
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for (int f=0; f<=1; ++f) {
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//Shorthands for indexing
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const int ti = thp_i.ind_[t];
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const int wi = wfr_i.ind_[w];
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const int gi = gfr_i.ind_[g];
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const int ai = alq_i.ind_[a];
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const int fi = flo_i.ind_[f];
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//Copy element
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nn[t][w][g][a][f] = array[ti][wi][gi][ai][fi];
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}
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}
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}
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}
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}
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//Remove dimensions one by one
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// Example: going from 3D to 2D to 1D, we start by interpolating along
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// the z axis first, leaving a 2D problem. Then interpolating along the y
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// axis, leaving a 1D, problem, etc.
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double tf = flo_i.factor_;
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for (int t=0; t<=1; ++t) {
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for (int w=0; w<=1; ++w) {
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for (int g=0; g<=1; ++g) {
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for (int a=0; a<=1; ++a) {
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nn[t][w][g][a][0] = (1.0-tf)*nn[t][w][g][a][0] + tf*nn[t][w][g][a][1];
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}
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}
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}
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}
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tf = alq_i.factor_;
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for (int t=0; t<=1; ++t) {
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for (int w=0; w<=1; ++w) {
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for (int g=0; g<=1; ++g) {
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nn[t][w][g][0][0] = (1.0-tf)*nn[t][w][g][0][0] + tf*nn[t][w][g][1][0];
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}
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}
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}
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tf = gfr_i.factor_;
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for (int t=0; t<=1; ++t) {
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for (int w=0; w<=1; ++w) {
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nn[t][w][0][0][0] = (1.0-tf)*nn[t][w][0][0][0] + tf*nn[t][w][1][0][0];
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}
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}
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tf = wfr_i.factor_;
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for (int t=0; t<=1; ++t) {
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nn[t][0][0][0][0] = (1.0-tf)*nn[t][0][0][0][0] + tf*nn[t][1][0][0][0];
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}
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tf = thp_i.factor_;
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return (1.0-tf)*nn[0][0][0][0][0] + tf*nn[1][0][0][0][0];
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}
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#ifdef __GNUC__
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#pragma GCC pop_options //unroll loops
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#endif
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double VFPProdProperties::find_x(const double& x0,
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const double& x1,
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const double& y0,
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const double& y1,
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const double& y) {
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const double dx = x1 - x0;
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const double dy = y1 - y0;
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/**
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* y = y0 + (dy / dx) * (x - x0)
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* => x = x0 + (y - y0) * (dx / dy)
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*
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* If dy is zero, use x1 as the value.
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*/
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double x = 0.0;
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if (dy != 0.0) {
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x = x0 + (y-y0) * (dx/dy);
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}
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else {
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x = x1;
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}
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return x;
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}
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} //Namespace
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