opm-simulators/opm/core/tof/FlowDiagnostics.cpp

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/*
Copyright 2015 SINTEF ICT, Applied Mathematics.
This file is part of the Open Porous Media project (OPM).
OPM 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.
OPM 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 for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#include <opm/core/tof/FlowDiagnostics.hpp>
#include <opm/core/utility/ErrorMacros.hpp>
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#include <algorithm>
#include <numeric>
namespace Opm
{
/// \brief Compute flow-capacity/storage-capacity based on time-of-flight.
///
/// The F-Phi curve is an analogue to the fractional flow curve in a 1D
/// displacement. It can be used to compute other interesting diagnostic
/// quantities such as the Lorenz coefficient. For a technical description
/// see Shavali et al. (SPE 146446), Shook and Mitchell (SPE 124625).
///
/// \param[in] pv pore volumes of each cell
/// \param[in] ftof forward (time from injector) time-of-flight values for each cell
/// \param[in] rtof reverse (time to producer) time-of-flight values for each cell
/// \return a pair of vectors, the first containing F (flow capacity) the second
/// containing Phi (storage capacity).
std::pair<std::vector<double>, std::vector<double>> computeFandPhi(const std::vector<double>& pv,
const std::vector<double>& ftof,
const std::vector<double>& rtof)
{
if (pv.size() != ftof.size() || pv.size() != rtof.size()) {
OPM_THROW(std::runtime_error, "computeFandPhi(): Input vectors must have same size.");
}
// Sort according to total travel time.
const int n = pv.size();
typedef std::pair<double, double> D2;
std::vector<D2> time_and_pv(n);
for (int ii = 0; ii < n; ++ii) {
time_and_pv[ii].first = ftof[ii] + rtof[ii]; // Total travel time.
time_and_pv[ii].second = pv[ii];
}
std::sort(time_and_pv.begin(), time_and_pv.end());
// Compute Phi.
std::vector<double> Phi(n + 1);
Phi[0] = 0.0;
for (int ii = 0; ii < n; ++ii) {
Phi[ii+1] = time_and_pv[ii].second;
}
std::partial_sum(Phi.begin(), Phi.end(), Phi.begin());
const double vt = Phi.back(); // Total pore volume.
for (int ii = 1; ii < n+1; ++ii) { // Note limits of loop.
Phi[ii] /= vt; // Normalize Phi.
}
// Compute F.
std::vector<double> F(n + 1);
F[0] = 0.0;
for (int ii = 0; ii < n; ++ii) {
F[ii+1] = time_and_pv[ii].second / time_and_pv[ii].first;
}
std::partial_sum(F.begin(), F.end(), F.begin());
const double ft = F.back(); // Total flux.
for (int ii = 1; ii < n+1; ++ii) { // Note limits of loop.
F[ii] /= ft; // Normalize Phi.
}
return std::make_pair(F, Phi);
}
/// \brief Compute the Lorenz coefficient based on the F-Phi curve.
///
/// The Lorenz coefficient is a measure of heterogeneity. It is equal
/// to twice the area between the F-Phi curve and the F = Phi line.
/// The coefficient can vary from zero to one. If the coefficient is
/// zero (so the F-Phi curve is a straight line) we have perfect
/// piston-like displacement while a coefficient of one indicates
/// infinitely heterogenous displacement (essentially no sweep).
///
/// Note: The coefficient is analogous to the Gini coefficient of
/// economic theory, where the name Lorenz curve is applied to
/// what we call the F-Phi curve.
///
/// \param[in] flowcap flow capacity (F) as from computeFandPhi()
/// \param[in] storagecap storage capacity (Phi) as from computeFandPhi()
/// \return the Lorenz coefficient
double computeLorenz(const std::vector<double>& flowcap,
const std::vector<double>& storagecap)
{
if (flowcap.size() != storagecap.size()) {
OPM_THROW(std::runtime_error, "computeLorenz(): Input vectors must have same size.");
}
double integral = 0.0;
// Trapezoid quadrature of the curve F(Phi).
const int num_intervals = flowcap.size() - 1;
for (int ii = 0; ii < num_intervals; ++ii) {
const double len = storagecap[ii+1] - storagecap[ii];
integral += (flowcap[ii] + flowcap[ii+1]) * len / 2.0;
}
return 2.0 * (integral - 0.5);
}
/// \brief Compute sweep efficiency versus dimensionless time (PVI).
///
/// The sweep efficiency is analogue to 1D displacement using the
/// F-Phi curve as flux function.
///
/// \param[in] flowcap flow capacity (F) as from computeFandPhi()
/// \param[in] storagecap storage capacity (Phi) as from computeFandPhi()
/// \return a pair of vectors, the first containing Ev (sweep efficiency)
/// the second containing tD (dimensionless time).
std::pair<std::vector<double>, std::vector<double>> computeSweep(const std::vector<double>& flowcap,
const std::vector<double>& storagecap)
{
if (flowcap.size() != storagecap.size()) {
OPM_THROW(std::runtime_error, "computeSweep(): Input vectors must have same size.");
}
// Compute tD and Ev simultaneously,
// skipping identical Phi data points.
const int n = flowcap.size();
std::vector<double> Ev;
std::vector<double> tD;
tD.reserve(n);
Ev.reserve(n);
tD.push_back(0.0);
Ev.push_back(0.0);
for (int ii = 1; ii < n; ++ii) { // Note loop limits.
const double fd = flowcap[ii] - flowcap[ii-1];
const double sd = storagecap[ii] - storagecap[ii-1];
if (fd != 0.0) {
tD.push_back(sd/fd);
Ev.push_back(storagecap[ii] + (1.0 - flowcap[ii]) * tD.back());
}
}
return std::make_pair(Ev, tD);
}
} // namespace Opm