mirror of
https://github.com/OPM/opm-simulators.git
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167 lines
6.5 KiB
C++
167 lines
6.5 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 <opm/core/tof/FlowDiagnostics.hpp>
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#include <opm/core/utility/ErrorMacros.hpp>
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#include <algorithm>
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#include <numeric>
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namespace Opm
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{
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/// \brief Compute flow-capacity/storage-capacity based on time-of-flight.
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///
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/// The F-Phi curve is an analogue to the fractional flow curve in a 1D
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/// displacement. It can be used to compute other interesting diagnostic
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/// quantities such as the Lorenz coefficient. For a technical description
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/// see Shavali et al. (SPE 146446), Shook and Mitchell (SPE 124625).
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///
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/// \param[in] pv pore volumes of each cell
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/// \param[in] ftof forward (time from injector) time-of-flight values for each cell
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/// \param[in] rtof reverse (time to producer) time-of-flight values for each cell
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/// \return a pair of vectors, the first containing F (flow capacity) the second
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/// containing Phi (storage capacity).
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std::pair<std::vector<double>, std::vector<double>> computeFandPhi(const std::vector<double>& pv,
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const std::vector<double>& ftof,
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const std::vector<double>& rtof)
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{
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if (pv.size() != ftof.size() || pv.size() != rtof.size()) {
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OPM_THROW(std::runtime_error, "computeFandPhi(): Input vectors must have same size.");
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}
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// Sort according to total travel time.
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const int n = pv.size();
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typedef std::pair<double, double> D2;
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std::vector<D2> time_and_pv(n);
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for (int ii = 0; ii < n; ++ii) {
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time_and_pv[ii].first = ftof[ii] + rtof[ii]; // Total travel time.
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time_and_pv[ii].second = pv[ii];
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}
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std::sort(time_and_pv.begin(), time_and_pv.end());
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// Compute Phi.
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std::vector<double> Phi(n + 1);
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Phi[0] = 0.0;
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for (int ii = 0; ii < n; ++ii) {
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Phi[ii+1] = time_and_pv[ii].second;
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}
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std::partial_sum(Phi.begin(), Phi.end(), Phi.begin());
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const double vt = Phi.back(); // Total pore volume.
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for (int ii = 1; ii < n+1; ++ii) { // Note limits of loop.
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Phi[ii] /= vt; // Normalize Phi.
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}
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// Compute F.
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std::vector<double> F(n + 1);
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F[0] = 0.0;
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for (int ii = 0; ii < n; ++ii) {
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F[ii+1] = time_and_pv[ii].second / time_and_pv[ii].first;
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}
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std::partial_sum(F.begin(), F.end(), F.begin());
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const double ft = F.back(); // Total flux.
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for (int ii = 1; ii < n+1; ++ii) { // Note limits of loop.
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F[ii] /= ft; // Normalize Phi.
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}
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return std::make_pair(F, Phi);
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}
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/// \brief Compute the Lorenz coefficient based on the F-Phi curve.
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///
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/// The Lorenz coefficient is a measure of heterogeneity. It is equal
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/// to twice the area between the F-Phi curve and the F = Phi line.
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/// The coefficient can vary from zero to one. If the coefficient is
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/// zero (so the F-Phi curve is a straight line) we have perfect
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/// piston-like displacement while a coefficient of one indicates
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/// infinitely heterogenous displacement (essentially no sweep).
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///
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/// Note: The coefficient is analogous to the Gini coefficient of
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/// economic theory, where the name Lorenz curve is applied to
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/// what we call the F-Phi curve.
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///
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/// \param[in] flowcap flow capacity (F) as from computeFandPhi()
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/// \param[in] storagecap storage capacity (Phi) as from computeFandPhi()
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/// \return the Lorenz coefficient
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double computeLorenz(const std::vector<double>& flowcap,
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const std::vector<double>& storagecap)
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{
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if (flowcap.size() != storagecap.size()) {
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OPM_THROW(std::runtime_error, "computeLorenz(): Input vectors must have same size.");
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}
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double integral = 0.0;
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// Trapezoid quadrature of the curve F(Phi).
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const int num_intervals = flowcap.size() - 1;
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for (int ii = 0; ii < num_intervals; ++ii) {
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const double len = storagecap[ii+1] - storagecap[ii];
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integral += (flowcap[ii] + flowcap[ii+1]) * len / 2.0;
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}
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return 2.0 * (integral - 0.5);
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}
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/// \brief Compute sweep efficiency versus dimensionless time (PVI).
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///
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/// The sweep efficiency is analogue to 1D displacement using the
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/// F-Phi curve as flux function.
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///
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/// \param[in] flowcap flow capacity (F) as from computeFandPhi()
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/// \param[in] storagecap storage capacity (Phi) as from computeFandPhi()
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/// \return a pair of vectors, the first containing Ev (sweep efficiency)
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/// the second containing tD (dimensionless time).
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std::pair<std::vector<double>, std::vector<double>> computeSweep(const std::vector<double>& flowcap,
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const std::vector<double>& storagecap)
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{
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if (flowcap.size() != storagecap.size()) {
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OPM_THROW(std::runtime_error, "computeSweep(): Input vectors must have same size.");
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}
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// Compute tD and Ev simultaneously,
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// skipping identical Phi data points.
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const int n = flowcap.size();
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std::vector<double> Ev;
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std::vector<double> tD;
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tD.reserve(n);
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Ev.reserve(n);
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tD.push_back(0.0);
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Ev.push_back(0.0);
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for (int ii = 1; ii < n; ++ii) { // Note loop limits.
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const double fd = flowcap[ii] - flowcap[ii-1];
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const double sd = storagecap[ii] - storagecap[ii-1];
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if (fd != 0.0) {
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tD.push_back(sd/fd);
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Ev.push_back(storagecap[ii] + (1.0 - flowcap[ii]) * tD.back());
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}
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}
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return std::make_pair(Ev, tD);
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}
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} // namespace Opm
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