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

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/*
Copyright 2012 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 "config.h"
#include <opm/core/tof/TofReorder.hpp>
#include <opm/core/grid.h>
#include <opm/core/utility/ErrorMacros.hpp>
#include <opm/core/utility/SparseTable.hpp>
#include <algorithm>
#include <numeric>
#include <cmath>
namespace Opm
{
/// Construct solver.
/// \param[in] grid A 2d or 3d grid.
/// \param[in] use_multidim_upwind If true, use multidimensional tof upwinding.
TofReorder::TofReorder(const UnstructuredGrid& grid,
const bool use_multidim_upwind)
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: grid_(grid),
darcyflux_(0),
porevolume_(0),
source_(0),
tof_(0),
tracer_(0),
num_tracers_(0),
gauss_seidel_tol_(1e-3),
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use_multidim_upwind_(use_multidim_upwind)
{
}
/// Solve for time-of-flight.
/// \param[in] darcyflux Array of signed face fluxes.
/// \param[in] porevolume Array of pore volumes.
/// \param[in] source Source term. Sign convention is:
/// (+) inflow flux,
/// (-) outflow flux.
/// \param[out] tof Array of time-of-flight values.
void TofReorder::solveTof(const double* darcyflux,
const double* porevolume,
const double* source,
std::vector<double>& tof)
{
darcyflux_ = darcyflux;
porevolume_ = porevolume;
source_ = source;
#ifndef NDEBUG
// Sanity check for sources.
const double cum_src = std::accumulate(source, source + grid_.number_of_cells, 0.0);
if (std::fabs(cum_src) > *std::max_element(source, source + grid_.number_of_cells)*1e-2) {
THROW("Sources do not sum to zero: " << cum_src);
}
#endif
tof.resize(grid_.number_of_cells);
std::fill(tof.begin(), tof.end(), 0.0);
tof_ = &tof[0];
if (use_multidim_upwind_) {
face_tof_.resize(grid_.number_of_faces);
std::fill(face_tof_.begin(), face_tof_.end(), 0.0);
}
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num_tracers_ = 0;
num_multicell_ = 0;
max_size_multicell_ = 0;
max_iter_multicell_ = 0;
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reorderAndTransport(grid_, darcyflux);
if (num_multicell_ > 0) {
std::cout << num_multicell_ << " multicell blocks with max size "
<< max_size_multicell_ << " cells in upto "
<< max_iter_multicell_ << " iterations." << std::endl;
}
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}
/// Solve for time-of-flight and a number of tracers.
/// \param[in] darcyflux Array of signed face fluxes.
/// \param[in] porevolume Array of pore volumes.
/// \param[in] source Source term. Sign convention is:
/// (+) inflow flux,
/// (-) outflow flux.
/// \param[in] tracerheads Table containing one row per tracer, and each
/// row contains the source cells for that tracer.
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/// \param[out] tof Array of time-of-flight values (1 per cell).
/// \param[out] tracer Array of tracer values. N per cell, where N is
/// equalt to tracerheads.size().
void TofReorder::solveTofTracer(const double* darcyflux,
const double* porevolume,
const double* source,
const SparseTable<int>& tracerheads,
std::vector<double>& tof,
std::vector<double>& tracer)
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{
darcyflux_ = darcyflux;
porevolume_ = porevolume;
source_ = source;
#ifndef NDEBUG
// Sanity check for sources.
const double cum_src = std::accumulate(source, source + grid_.number_of_cells, 0.0);
if (std::fabs(cum_src) > *std::max_element(source, source + grid_.number_of_cells)*1e-2) {
THROW("Sources do not sum to zero: " << cum_src);
}
#endif
tof.resize(grid_.number_of_cells);
std::fill(tof.begin(), tof.end(), 0.0);
tof_ = &tof[0];
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// Find the tracer heads (injectors).
num_tracers_ = tracerheads.size();
tracer.resize(grid_.number_of_cells*num_tracers_);
std::fill(tracer.begin(), tracer.end(), 0.0);
if (num_tracers_ > 0) {
tracerhead_by_cell_.clear();
tracerhead_by_cell_.resize(grid_.number_of_cells, NoTracerHead);
}
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for (int tr = 0; tr < num_tracers_; ++tr) {
for (int i = 0; i < tracerheads[tr].size(); ++i) {
const int cell = tracerheads[tr][i];
tracer[cell*num_tracers_ + tr] = 1.0;
tracerhead_by_cell_[cell] = tr;
}
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}
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tracer_ = &tracer[0];
if (use_multidim_upwind_) {
face_tof_.resize(grid_.number_of_faces);
std::fill(face_tof_.begin(), face_tof_.end(), 0.0);
THROW("Multidimensional upwind not yet implemented for tracer.");
}
num_multicell_ = 0;
max_size_multicell_ = 0;
max_iter_multicell_ = 0;
reorderAndTransport(grid_, darcyflux);
if (num_multicell_ > 0) {
std::cout << num_multicell_ << " multicell blocks with max size "
<< max_size_multicell_ << " cells in upto "
<< max_iter_multicell_ << " iterations." << std::endl;
}
}
void TofReorder::solveSingleCell(const int cell)
{
if (use_multidim_upwind_) {
solveSingleCellMultidimUpwind(cell);
return;
}
// Compute flux terms.
// Sources have zero tof, and therefore do not contribute
// to upwind_term. Sinks on the other hand, must be added
// to the downwind_flux (note sign change resulting from
// different sign conventions: pos. source is injection,
// pos. flux is outflow).
if (num_tracers_ && tracerhead_by_cell_[cell] == NoTracerHead) {
for (int tr = 0; tr < num_tracers_; ++tr) {
tracer_[num_tracers_*cell + tr] = 0.0;
}
}
double upwind_term = 0.0;
double downwind_flux = std::max(-source_[cell], 0.0);
for (int i = grid_.cell_facepos[cell]; i < grid_.cell_facepos[cell+1]; ++i) {
int f = grid_.cell_faces[i];
double flux;
int other;
// Compute cell flux
if (cell == grid_.face_cells[2*f]) {
flux = darcyflux_[f];
other = grid_.face_cells[2*f+1];
} else {
flux =-darcyflux_[f];
other = grid_.face_cells[2*f];
}
// Add flux to upwind_term or downwind_flux
if (flux < 0.0) {
// Using tof == 0 on inflow, so we only add a
// nonzero contribution if we are on an internal
// face.
if (other != -1) {
upwind_term += flux*tof_[other];
if (num_tracers_ && tracerhead_by_cell_[cell] == NoTracerHead) {
for (int tr = 0; tr < num_tracers_; ++tr) {
tracer_[num_tracers_*cell + tr] += flux*tracer_[num_tracers_*other + tr];
}
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}
}
} else {
downwind_flux += flux;
}
}
// Compute tof.
tof_[cell] = (porevolume_[cell] - upwind_term)/downwind_flux;
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// Compute tracers (if any).
// Do not change tracer solution in source cells.
if (num_tracers_ && tracerhead_by_cell_[cell] == NoTracerHead) {
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for (int tr = 0; tr < num_tracers_; ++tr) {
tracer_[num_tracers_*cell + tr] *= -1.0/downwind_flux;
}
}
}
void TofReorder::solveSingleCellMultidimUpwind(const int cell)
{
// Compute flux terms.
// Sources have zero tof, and therefore do not contribute
// to upwind_term. Sinks on the other hand, must be added
// to the downwind terms (note sign change resulting from
// different sign conventions: pos. source is injection,
// pos. flux is outflow).
double upwind_term = 0.0;
double downwind_term_cell_factor = std::max(-source_[cell], 0.0);
double downwind_term_face = 0.0;
for (int i = grid_.cell_facepos[cell]; i < grid_.cell_facepos[cell+1]; ++i) {
int f = grid_.cell_faces[i];
double flux;
// Compute cell flux
if (cell == grid_.face_cells[2*f]) {
flux = darcyflux_[f];
} else {
flux =-darcyflux_[f];
}
// Add flux to upwind_term or downwind_term_[face|cell_factor].
if (flux < 0.0) {
upwind_term += flux*face_tof_[f];
} else if (flux > 0.0) {
double fterm, cterm_factor;
multidimUpwindTerms(f, cell, fterm, cterm_factor);
downwind_term_face += fterm*flux;
downwind_term_cell_factor += cterm_factor*flux;
}
}
// Compute tof for cell.
tof_[cell] = (porevolume_[cell] - upwind_term - downwind_term_face)/downwind_term_cell_factor;
// Compute tof for downwind faces.
for (int i = grid_.cell_facepos[cell]; i < grid_.cell_facepos[cell+1]; ++i) {
int f = grid_.cell_faces[i];
const double outflux_f = (grid_.face_cells[2*f] == cell) ? darcyflux_[f] : -darcyflux_[f];
if (outflux_f > 0.0) {
double fterm, cterm_factor;
multidimUpwindTerms(f, cell, fterm, cterm_factor);
face_tof_[f] = fterm + cterm_factor*tof_[cell];
}
}
}
void TofReorder::solveMultiCell(const int num_cells, const int* cells)
{
++num_multicell_;
max_size_multicell_ = std::max(max_size_multicell_, num_cells);
// std::cout << "Multiblock solve with " << num_cells << " cells." << std::endl;
// Using a Gauss-Seidel approach.
double max_delta = 1e100;
int num_iter = 0;
while (max_delta > gauss_seidel_tol_) {
max_delta = 0.0;
++num_iter;
for (int ci = 0; ci < num_cells; ++ci) {
const int cell = cells[ci];
const double tof_before = tof_[cell];
solveSingleCell(cell);
max_delta = std::max(max_delta, std::fabs(tof_[cell] - tof_before));
}
// std::cout << "Max delta = " << max_delta << std::endl;
}
max_iter_multicell_ = std::max(max_iter_multicell_, num_iter);
}
// Assumes that face_tof_[f] is known for all upstream faces f of upwind_cell.
// Assumes that darcyflux_[face] is != 0.0.
// This function returns factors to compute the tof for 'face':
// tof(face) = face_term + cell_term_factor*tof(upwind_cell).
// It is not computed here, since these factors are needed to
// compute the tof(upwind_cell) itself.
void TofReorder::multidimUpwindTerms(const int face,
const int upwind_cell,
double& face_term,
double& cell_term_factor) const
{
// Implements multidim upwind according to
// "Multidimensional upstream weighting for multiphase transport on general grids"
// by Keilegavlen, Kozdon, Mallison.
// However, that article does not give a 3d extension other than noting that using
// multidimensional upwinding in the XY-plane and not in the Z-direction may be
// a good idea. We have here attempted some generalization, by looking at all
// face-neighbours across edges as upwind candidates, and giving them all uniform weight.
// This will over-weight the immediate upstream cell value in an extruded 2d grid with
// one layer (top and bottom no-flow faces will enter the computation) compared to the
// original 2d case. Improvements are welcome.
// Note: Modified algorithm to consider faces that share even a single vertex with
// the input face. This reduces the problem of non-edge-conformal grids, but does not
// eliminate it entirely.
// Identify the adjacent faces of the upwind cell.
const int* face_nodes_beg = grid_.face_nodes + grid_.face_nodepos[face];
const int* face_nodes_end = grid_.face_nodes + grid_.face_nodepos[face + 1];
ASSERT(face_nodes_end - face_nodes_beg == 2 || grid_.dimensions != 2);
adj_faces_.clear();
for (int hf = grid_.cell_facepos[upwind_cell]; hf < grid_.cell_facepos[upwind_cell + 1]; ++hf) {
const int f = grid_.cell_faces[hf];
if (f != face) {
const int* f_nodes_beg = grid_.face_nodes + grid_.face_nodepos[f];
const int* f_nodes_end = grid_.face_nodes + grid_.face_nodepos[f + 1];
// Find out how many vertices they have in common.
// Using simple linear searches since sets are small.
int num_common = 0;
for (const int* f_iter = f_nodes_beg; f_iter < f_nodes_end; ++f_iter) {
num_common += std::count(face_nodes_beg, face_nodes_end, *f_iter);
}
// Before: neighbours over an edge (3d) or vertex (2d).
// Now: neighbours across a vertex.
// if (num_common == grid_.dimensions - 1) {
if (num_common > 0) {
adj_faces_.push_back(f);
}
}
}
// Indentify adjacent faces with inflows, compute omega_star, omega,
// add up contributions.
const int num_adj = adj_faces_.size();
// The assertion below only holds if the grid is edge-conformal.
// No longer testing, since method no longer requires it.
// ASSERT(num_adj == face_nodes_end - face_nodes_beg);
const double flux_face = std::fabs(darcyflux_[face]);
face_term = 0.0;
cell_term_factor = 0.0;
for (int ii = 0; ii < num_adj; ++ii) {
const int f = adj_faces_[ii];
const double influx_f = (grid_.face_cells[2*f] == upwind_cell) ? -darcyflux_[f] : darcyflux_[f];
const double omega_star = influx_f/flux_face;
// SPU
// const double omega = 0.0;
// TMU
// const double omega = omega_star > 0.0 ? std::min(omega_star, 1.0) : 0.0;
// SMU
const double omega = omega_star > 0.0 ? omega_star/(1.0 + omega_star) : 0.0;
face_term += omega*face_tof_[f];
cell_term_factor += (1.0 - omega);
}
face_term /= double(num_adj);
cell_term_factor /= double(num_adj);
}
} // namespace Opm