mirror of
https://github.com/OPM/opm-simulators.git
synced 2026-07-29 18:47:55 -05:00
Added bound checks to Newton column solver.
This commit is contained in:
@@ -237,6 +237,10 @@ public:
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return smax_[2*c + 0];
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return smax_[2*c + 0];
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}
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}
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double cMax() const
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{
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return polyprops_.cMax();
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}
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template <class PolyC,
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template <class PolyC,
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class Mc,
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class Mc,
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@@ -255,7 +259,7 @@ private:
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};
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};
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typedef PolymerFluid2pWrappingProps TwophaseFluidPolymer;
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typedef PolymerFluid2pWrappingProps TwophaseFluidPolymer;
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typedef Opm::SinglePointUpwindTwoPhasePolymer<TwophaseFluidPolymer> NewtonPolymerTransportModel;
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typedef Opm::SinglePointUpwindTwoPhasePolymer<TwophaseFluidPolymer> FluxModel;
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using namespace Opm::ImplicitTransportDefault;
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using namespace Opm::ImplicitTransportDefault;
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@@ -271,7 +275,7 @@ public:
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}
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}
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};
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};
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typedef Opm::ImplicitTransport<NewtonPolymerTransportModel,
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typedef Opm::ImplicitTransport<FluxModel,
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JacSys ,
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JacSys ,
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MaxNorm ,
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MaxNorm ,
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VectorNegater ,
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VectorNegater ,
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@@ -403,12 +407,16 @@ main(int argc, char** argv)
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if (param.has("poly_init")) {
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if (param.has("poly_init")) {
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double poly_init = param.getDefault("poly_init", 0.0);
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double poly_init = param.getDefault("poly_init", 0.0);
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for (int cell = 0; cell < grid->c_grid()->number_of_cells; ++cell) {
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for (int cell = 0; cell < grid->c_grid()->number_of_cells; ++cell) {
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if (state.saturation()[2*cell] > 0) {
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double smin[2], smax[2];
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props->satRange(1, &cell, smin, smax);
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if (state.saturation()[2*cell] > 0.5*(smin[0] + smax[0])) {
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state.concentration()[cell] = poly_init;
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state.concentration()[cell] = poly_init;
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state.maxconcentration()[cell] = poly_init;
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state.maxconcentration()[cell] = poly_init;
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} else {
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} else {
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state.saturation()[2*cell + 0] = 0.;
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state.saturation()[2*cell + 1] = 1.;
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state.concentration()[cell] = 0.;
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state.concentration()[cell] = 0.;
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state.maxconcentration()[cell] = poly_init;
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state.maxconcentration()[cell] = 0.;
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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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@@ -435,10 +443,10 @@ main(int argc, char** argv)
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std::vector<double> ads_vals(3, -1e100);
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std::vector<double> ads_vals(3, -1e100);
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ads_vals[0] = 0.0;
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ads_vals[0] = 0.0;
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// polyprop.ads_vals[1] = param.getDefault("c_max_ads", 0.0025);
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// polyprop.ads_vals[1] = param.getDefault("c_max_ads", 0.0025);
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// ads_vals[1] = 0.0015;
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ads_vals[1] = 0.0015;
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// ads_vals[2] = 0.0025;
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ads_vals[2] = 0.0025;
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ads_vals[1] = 0.0;
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// ads_vals[1] = 0.0;
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ads_vals[2] = 0.0;
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// ads_vals[2] = 0.0;
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polyprop.set(c_max, mix_param, rock_density, dead_pore_vol, res_factor, c_max_ads,
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polyprop.set(c_max, mix_param, rock_density, dead_pore_vol, res_factor, c_max_ads,
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static_cast<Opm::PolymerProperties::AdsorptionBehaviour>(ads_index),
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static_cast<Opm::PolymerProperties::AdsorptionBehaviour>(ads_index),
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c_vals_visc, visc_mult_vals, c_vals_ads, ads_vals);
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c_vals_visc, visc_mult_vals, c_vals_ads, ads_vals);
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@@ -552,17 +560,17 @@ main(int argc, char** argv)
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reorder_model.initGravity(grav);
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reorder_model.initGravity(grav);
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}
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}
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// Non-reordering solver.
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// Non-reordering solver.
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NewtonPolymerTransportModel model(fluid, *grid->c_grid(), porevol, grav, guess_old_solution);
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FluxModel fmodel(fluid, *grid->c_grid(), porevol, grav, guess_old_solution);
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if (use_gravity) {
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if (use_gravity) {
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model.initGravityTrans(*grid->c_grid(), psolver.getHalfTrans());
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fmodel.initGravityTrans(*grid->c_grid(), psolver.getHalfTrans());
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}
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}
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TransportSolver tsolver(model);
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TransportSolver tsolver(fmodel);
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// Column-based gravity segregation solver.
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// Column-based gravity segregation solver.
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std::vector<std::vector<int> > columns;
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std::vector<std::vector<int> > columns;
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if (use_column_solver) {
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if (use_column_solver) {
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Opm::extractColumn(*grid->c_grid(), columns);
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Opm::extractColumn(*grid->c_grid(), columns);
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}
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}
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Opm::GravityColumnSolverPolymer<NewtonPolymerTransportModel> colsolver(model, *grid->c_grid(), nl_tolerance, nl_maxiter);
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Opm::GravityColumnSolverPolymer<FluxModel, TwophaseFluidPolymer> colsolver(fmodel, fluid, *grid->c_grid(), nl_tolerance, nl_maxiter);
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// // // Not implemented for polymer.
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// // // Not implemented for polymer.
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// // Control init.
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// // Control init.
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@@ -29,16 +29,17 @@ namespace Opm
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/// Class for doing gravity segregation (only),
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/// Class for doing gravity segregation (only),
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/// on a vertical column of cells.
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/// on a vertical column of cells.
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template <class Model>
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template <class FluxModel, class Model>
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class GravityColumnSolverPolymer
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class GravityColumnSolverPolymer
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{
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{
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public:
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public:
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/// Note: the model will be changed since it stores computed
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/// Note: the model will be changed since it stores computed
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/// quantities in itself, such as mobilities.
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/// quantities in itself, such as mobilities.
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GravityColumnSolverPolymer(Model& model,
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GravityColumnSolverPolymer(FluxModel& fmodel,
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const UnstructuredGrid& grid,
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const Model& model,
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const double tol,
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const UnstructuredGrid& grid,
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const int maxit);
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const double tol,
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const int maxit);
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/// \param[in] columns for each column (with logical cartesian indices as key),
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/// \param[in] columns for each column (with logical cartesian indices as key),
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/// contains the cells on which to solve the segregation
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/// contains the cells on which to solve the segregation
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@@ -59,7 +60,8 @@ namespace Opm
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std::vector<double>& cmax,
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std::vector<double>& cmax,
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std::vector<double>& sol_vec
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std::vector<double>& sol_vec
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);
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);
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Model& model_;
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FluxModel& fmodel_;
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const Model& model_;
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const UnstructuredGrid& grid_;
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const UnstructuredGrid& grid_;
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const double tol_;
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const double tol_;
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const int maxit_;
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const int maxit_;
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@@ -41,15 +41,24 @@
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#include <opm/core/utility/ErrorMacros.hpp>
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#include <opm/core/utility/ErrorMacros.hpp>
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#include <iterator>
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#include <iterator>
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// namespace {
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// int sgn(double val) {
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// return (0.0 < val) - (val < 0);
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// }
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// }
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namespace Opm
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namespace Opm
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{
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{
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template <class Model>
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template <class FluxModel, class Model>
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GravityColumnSolverPolymer<Model>::GravityColumnSolverPolymer(Model& model,
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GravityColumnSolverPolymer<FluxModel, Model>::GravityColumnSolverPolymer(FluxModel& fmodel,
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const UnstructuredGrid& grid,
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const Model& model,
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const double tol,
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const UnstructuredGrid& grid,
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const int maxit)
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const double tol,
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: model_(model), grid_(grid), tol_(tol), maxit_(maxit)
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const int maxit)
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: fmodel_(fmodel), model_(model), grid_(grid), tol_(tol), maxit_(maxit)
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{
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{
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}
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}
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@@ -117,8 +126,8 @@ namespace Opm
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/// problem. For each column, its cells must be in a single
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/// problem. For each column, its cells must be in a single
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/// vertical column, connected and ordered
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/// vertical column, connected and ordered
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/// (direction doesn't matter).
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/// (direction doesn't matter).
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template <class Model>
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template <class FluxModel, class Model>
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void GravityColumnSolverPolymer<Model>::solve(const std::vector<std::vector<int> >& columns,
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void GravityColumnSolverPolymer<FluxModel, Model>::solve(const std::vector<std::vector<int> >& columns,
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const double dt,
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const double dt,
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std::vector<double>& s,
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std::vector<double>& s,
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std::vector<double>& c,
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std::vector<double>& c,
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@@ -129,20 +138,83 @@ namespace Opm
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StateWithZeroFlux state(s, c, cmax); // This holds s, c and cmax by reference.
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StateWithZeroFlux state(s, c, cmax); // This holds s, c and cmax by reference.
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JacSys sys(2*grid_.number_of_cells);
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JacSys sys(2*grid_.number_of_cells);
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std::vector<double> increment(2*grid_.number_of_cells, 0.0);
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std::vector<double> increment(2*grid_.number_of_cells, 0.0);
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model_.initStep(state, grid_, sys);
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fmodel_.initStep(state, grid_, sys);
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int iter = 0;
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int iter = 0;
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double max_delta = 1e100;
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double max_delta = 1e100;
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const double cmax_cell = 2.0*model_.cMax();
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const double tol_c_cell = 1e-2*cmax_cell;
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while (iter < maxit_) {
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while (iter < maxit_) {
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model_.initIteration(state, grid_, sys);
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fmodel_.initIteration(state, grid_, sys);
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int size = columns.size();
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int size = columns.size();
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for(int i = 0; i < size; ++i) {
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for(int i = 0; i < size; ++i) {
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solveSingleColumn(columns[i], dt, s, c, cmax, increment);
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solveSingleColumn(columns[i], dt, s, c, cmax, increment);
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}
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}
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for (int cell = 0; cell < grid_.number_of_cells; ++cell) {
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for (int cell = 0; cell < grid_.number_of_cells; ++cell) {
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sys.vector().writableSolution()[2*cell + 0] += increment[2*cell + 0];
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double& s_cell = sys.vector().writableSolution()[2*cell + 0];
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sys.vector().writableSolution()[2*cell + 1] += increment[2*cell + 1];
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double& c_cell = sys.vector().writableSolution()[2*cell + 1];
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}
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s_cell += increment[2*cell + 0];
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c_cell += increment[2*cell + 1];
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if (s_cell < 0.) {
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double& incr = increment[2*cell + 0];
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s_cell -= incr;
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if (std::fabs(incr) < 1e-2) {
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incr = -s_cell;
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s_cell = 0.;
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} else {
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incr = -s_cell/2.0;
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s_cell = s_cell/2.0;
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}
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}
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if (s_cell > 1.) {
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double& incr = increment[2*cell + 0];
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s_cell -= incr;
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if (std::fabs(incr) < 1e-2) {
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incr = 1. - s_cell;
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s_cell = 1.;
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} else {
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incr = (1 - s_cell)/2.0;
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s_cell = (1 + s_cell)/2.0;
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}
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}
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if (c_cell < 0.) {
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double& incr = increment[2*cell + 1];
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c_cell -= incr;
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if (std::fabs(incr) < tol_c_cell) {
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incr = -c_cell;
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c_cell = 0.;
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} else {
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incr = -c_cell/2.0;
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c_cell = c_cell/2.0;
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}
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}
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if (c_cell > cmax_cell) {
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double& incr = increment[2*cell + 1];
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c_cell -= incr;
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if (std::fabs(incr) < tol_c_cell) {
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incr = cmax_cell - c_cell;
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c_cell = cmax_cell;
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} else {
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incr = (cmax_cell - c_cell)/2.0;
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c_cell = (cmax_cell + c_cell)/2.0;
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}
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}
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// if (s_cell < 0.) {
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// increment[2*cell + 0] = increment[2*cell + 0] - s_cell;
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// s_cell = 0.;
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// } else if (s_cell > 1.) {
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// increment[2*cell + 0] = increment[2*cell + 0] - s_cell + 1.;
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// s_cell = 1.;
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// }
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// if (c_cell < 0) {
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// increment[2*cell + 1] = increment[2*cell + 1] - c_cell;
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// c_cell = 0.;
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// } else if (c_cell > cmax_cell) {
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// increment[2*cell + 1] = increment[2*cell + 1] - c_cell + cmax_cell;
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// c_cell = cmax_cell;
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// }
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}
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const double maxelem = *std::max_element(increment.begin(), increment.end());
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const double maxelem = *std::max_element(increment.begin(), increment.end());
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const double minelem = *std::min_element(increment.begin(), increment.end());
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const double minelem = *std::min_element(increment.begin(), increment.end());
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max_delta = std::max(maxelem, -minelem);
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max_delta = std::max(maxelem, -minelem);
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@@ -156,10 +228,10 @@ namespace Opm
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THROW("Failed to converge!");
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THROW("Failed to converge!");
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}
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}
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// Finalize.
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// Finalize.
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// model_.finishIteration(); //
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// fmodel_.finishIteration(); //
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// finishStep() writes to state, which holds s by reference.
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// finishStep() writes to state, which holds s by reference.
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// This will update the entire grid's state... cmax is updated here.
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// This will update the entire grid's state... cmax is updated here.
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model_.finishStep(grid_, sys.vector().solution(), state);
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fmodel_.finishStep(grid_, sys.vector().solution(), state);
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}
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}
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@@ -168,8 +240,8 @@ namespace Opm
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/// \param[in] column_cells the cells on which to solve the segregation
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/// \param[in] column_cells the cells on which to solve the segregation
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/// problem. Must be in a single vertical column,
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/// problem. Must be in a single vertical column,
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/// and ordered (direction doesn't matter).
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/// and ordered (direction doesn't matter).
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template <class Model>
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template <class FluxModel, class Model>
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void GravityColumnSolverPolymer<Model>::solveSingleColumn(const std::vector<int>& column_cells,
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void GravityColumnSolverPolymer<FluxModel, Model>::solveSingleColumn(const std::vector<int>& column_cells,
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const double dt,
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const double dt,
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std::vector<double>& s,
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std::vector<double>& s,
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std::vector<double>& c,
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std::vector<double>& c,
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@@ -215,7 +287,7 @@ namespace Opm
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F.assign(2, 0.);
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F.assign(2, 0.);
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dFd1.assign(4, 0.);
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dFd1.assign(4, 0.);
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dFd2.assign(4, 0.);
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dFd2.assign(4, 0.);
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model_.fluxConnection(state, grid_, dt, cell, face, &F[0], &dFd1[0], &dFd2[0]);
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fmodel_.fluxConnection(state, grid_, dt, cell, face, &F[0], &dFd1[0], &dFd2[0]);
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if (c1 == prev_cell || c2 == prev_cell) {
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if (c1 == prev_cell || c2 == prev_cell) {
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hm[bmc(2*ci + 0, 2*(ci - 1) + 0)] += dFd2[0];
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hm[bmc(2*ci + 0, 2*(ci - 1) + 0)] += dFd2[0];
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hm[bmc(2*ci + 0, 2*(ci - 1) + 1)] += dFd2[1];
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hm[bmc(2*ci + 0, 2*(ci - 1) + 1)] += dFd2[1];
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@@ -239,7 +311,7 @@ namespace Opm
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}
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}
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F.assign(2, 0.);
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F.assign(2, 0.);
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dF.assign(4, 0.);
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dF.assign(4, 0.);
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model_.accumulation(grid_, cell, &F[0], &dF[0]);
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fmodel_.accumulation(grid_, cell, &F[0], &dF[0]);
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hm[bmc(2*ci + 0, 2*ci + 0)] += dF[0];
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hm[bmc(2*ci + 0, 2*ci + 0)] += dF[0];
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hm[bmc(2*ci + 0, 2*ci + 1)] += dF[1];
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hm[bmc(2*ci + 0, 2*ci + 1)] += dF[1];
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hm[bmc(2*ci + 1, 2*ci + 0)] += dF[2];
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hm[bmc(2*ci + 1, 2*ci + 0)] += dF[2];
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