opm-simulators/opm/autodiff/BlackoilPressureModel.hpp

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Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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/*
Copyright 2015, 2016 SINTEF ICT, Applied Mathematics.
Copyright 2016 Statoil AS.
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/>.
*/
#ifndef OPM_BLACKOILPRESSUREMODEL_HEADER_INCLUDED
#define OPM_BLACKOILPRESSUREMODEL_HEADER_INCLUDED
#include <opm/autodiff/BlackoilModelBase.hpp>
#include <opm/core/simulator/BlackoilState.hpp>
#include <opm/autodiff/WellStateFullyImplicitBlackoil.hpp>
#include <opm/autodiff/BlackoilModelParameters.hpp>
#include <opm/simulators/timestepping/SimulatorTimerInterface.hpp>
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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#include <algorithm>
namespace Opm {
/// A model implementation for the pressure equation in three-phase black oil.
///
/// The model is based on the normal black oil model.
/// It uses automatic differentiation via the class AutoDiffBlock
/// to simplify assembly of the jacobian matrix.
template<class Grid, class WellModel>
class BlackoilPressureModel : public BlackoilModelBase<Grid, WellModel, BlackoilPressureModel<Grid, WellModel> >
{
public:
typedef BlackoilModelBase<Grid, WellModel, BlackoilPressureModel<Grid, WellModel> > Base;
friend Base;
typedef typename Base::ReservoirState ReservoirState;
typedef typename Base::WellState WellState;
typedef typename Base::SolutionState SolutionState;
typedef typename Base::V V;
/// Construct the model. It will retain references to the
/// arguments of this functions, and they are expected to
/// remain in scope for the lifetime of the solver.
/// \param[in] param parameters
/// \param[in] grid grid data structure
/// \param[in] fluid fluid properties
/// \param[in] geo rock properties
/// \param[in] rock_comp_props if non-null, rock compressibility properties
/// \param[in] wells_arg well structure
/// \param[in] linsolver linear solver
/// \param[in] eclState eclipse state
/// \param[in] has_disgas turn on dissolved gas
/// \param[in] has_vapoil turn on vaporized oil feature
/// \param[in] terminal_output request output to cout/cerr
BlackoilPressureModel(const typename Base::ModelParameters& param,
const Grid& grid,
const BlackoilPropsAdFromDeck& fluid,
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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const DerivedGeology& geo,
const RockCompressibility* rock_comp_props,
const StandardWells& std_wells,
const NewtonIterationBlackoilInterface& linsolver,
std::shared_ptr< const EclipseState> eclState,
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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const bool has_disgas,
const bool has_vapoil,
const bool terminal_output)
: Base(param, grid, fluid, geo, rock_comp_props, std_wells, linsolver,
eclState, has_disgas, has_vapoil, terminal_output),
state0_(3),
max_dp_rel_(std::numeric_limits<double>::infinity()),
scaling_{ ADB::null(), ADB::null(), ADB::null() }
{
}
/// Called once per timestep.
void prepareStep(const SimulatorTimerInterface& timer,
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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const ReservoirState& reservoir_state,
const WellState& well_state)
{
asImpl().wellModel().setStoreWellPerforationFluxesFlag(true);
Base::prepareStep(timer, reservoir_state, well_state);
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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max_dp_rel_ = std::numeric_limits<double>::infinity();
state0_ = asImpl().variableState(reservoir_state, well_state);
asImpl().makeConstantState(state0_);
}
/// Solve the Jacobian system Jx = r where J is the Jacobian and
/// r is the residual.
V solveJacobianSystem() const
{
// We make a reduced residual object which just
// contains the pressure residual.
// TODO: directly contruct that object in residual_ instead.
const int n1 = residual_.material_balance_eq[0].size();
const int n2 = residual_.well_flux_eq.size() + residual_.well_eq.size();
const int n_full = residual_.sizeNonLinear();
const auto& mb = residual_.material_balance_eq;
const auto& fe = residual_.well_flux_eq;
const auto& we = residual_.well_eq;
LinearisedBlackoilResidual pressure_res = {
{
// TODO: handle general 2-phase etc.
ADB::function(mb[0].value(), { mb[0].derivative()[0], mb[0].derivative()[3], mb[0].derivative()[4] })
},
ADB::function(fe.value(), { fe.derivative()[0], fe.derivative()[3], fe.derivative()[4] }),
ADB::function(we.value(), { we.derivative()[0], we.derivative()[3], we.derivative()[4] }),
residual_.matbalscale,
residual_.singlePrecision
};
assert(pressure_res.sizeNonLinear() == n1 + n2);
V dx_pressure = linsolver_.computeNewtonIncrement(pressure_res);
assert(dx_pressure.size() == n1 + n2);
V dx_full = V::Zero(n_full);
dx_full.topRows(n1) = dx_pressure.topRows(n1);
dx_full.bottomRows(n2) = dx_pressure.bottomRows(n2);
return dx_full;
}
using Base::numPhases;
using Base::numMaterials;
using Base::wellModel;
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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protected:
using Base::asImpl;
using Base::linsolver_;
using Base::residual_;
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using Base::sd_;
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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using Base::grid_;
using Base::ops_;
using Base::has_vapoil_;
using Base::has_disgas_;
SolutionState state0_;
double max_dp_rel_ = std::numeric_limits<double>::infinity();
ADB scaling_[3] = { ADB::null(), ADB::null(), ADB::null() };
SimulatorReport
assemble(const ReservoirState& reservoir_state,
WellState& well_state,
const bool initial_assembly)
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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{
SimulatorReport report;
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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report += Base::assemble(reservoir_state, well_state, initial_assembly);
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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if (initial_assembly) {
}
// Compute pressure residual.
ADB pressure_residual = ADB::constant(V::Zero(residual_.material_balance_eq[0].size()));
for (int phase = 0; phase < numPhases(); ++phase) {
pressure_residual += residual_.material_balance_eq[phase] * scaling_[phase];
}
residual_.material_balance_eq[0] = pressure_residual; // HACK
// Compute total reservoir volume flux.
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const int n = sd_.rq[0].mflux.size();
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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V flux = V::Zero(n);
for (int phase = 0; phase < numPhases(); ++phase) {
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UpwindSelector<double> upwind(grid_, ops_, sd_.rq[phase].dh.value());
flux += sd_.rq[phase].mflux.value() / upwind.select(sd_.rq[phase].b.value());
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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}
// Storing the fluxes in the assemble() method is a bit of
// a hack, but alternatives either require a more
// significant redesign of the base class or are
// inefficient.
ReservoirState& s = const_cast<ReservoirState&>(reservoir_state);
s.faceflux().resize(n);
std::copy_n(flux.data(), n, s.faceflux().begin());
if (asImpl().localWellsActive()) {
const V& wflux = asImpl().wellModel().getStoredWellPerforationFluxes();
assert(int(well_state.perfRates().size()) == wflux.size());
std::copy_n(wflux.data(), wflux.size(), well_state.perfRates().begin());
}
return report;
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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}
SolutionState
variableState(const ReservoirState& x,
const WellState& xw) const
{
// As Base::variableState(), except making Sw and Xvar constants.
std::vector<V> vars0 = asImpl().variableStateInitials(x, xw);
std::vector<ADB> vars = ADB::variables(vars0);
const std::vector<int> indices = asImpl().variableStateIndices();
vars[indices[Sw]] = ADB::constant(vars[indices[Sw]].value());
vars[indices[Xvar]] = ADB::constant(vars[indices[Xvar]].value());
// OpmLog::debug("Injector pressure: " + std::to_string(vars[indices[Bhp]].value()[1]));
return asImpl().variableStateExtractVars(x, indices, vars);
}
void computeAccum(const SolutionState& state,
const int aix )
{
if (aix == 0) {
Base::computeAccum(state0_, aix);
} else {
Base::computeAccum(state, aix);
}
}
void assembleMassBalanceEq(const SolutionState& state)
{
Base::assembleMassBalanceEq(state);
// Compute the scaling factors.
// Scaling factors are:
// 1/bw, 1/bo - rs/bg, 1/bg - rv/bo
assert(numPhases() == 3);
assert(numMaterials() == 3);
V one = V::Constant(state.pressure.size(), 1.0);
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scaling_[Water] = one / sd_.rq[Water].b;
scaling_[Oil] = one / sd_.rq[Oil].b - state.rs / sd_.rq[Gas].b;
scaling_[Gas] = one / sd_.rq[Gas].b - state.rv / sd_.rq[Oil].b;
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
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if (has_disgas_ && has_vapoil_) {
ADB r_factor = one / (one - state.rs * state.rv);
scaling_[Oil] = r_factor * scaling_[Oil];
scaling_[Gas] = r_factor * scaling_[Gas];
}
// @TODO: multiply the oil and gas scale by 1/(1-rs*rv)?
// OpmLog::debug("gas scaling: " + std::to_string(scaling_[2].value()[0]));
}
void updateState(const V& dx,
ReservoirState& reservoir_state,
WellState& well_state)
{
// Naively, rs and rv can get overwritten, so we
// avoid that by storing.
std::vector<double> rs_old = reservoir_state.gasoilratio();
std::vector<double> rv_old = reservoir_state.rv();
auto hs_old = reservoir_state.hydroCarbonState();
auto phasecond_old = Base::phaseCondition_;
auto isRs_old = Base::isRs_;
auto isRv_old = Base::isRv_;
auto isSg_old = Base::isSg_;
// Compute the pressure range.
const auto minmax_iters = std::minmax_element(reservoir_state.pressure().begin(),
reservoir_state.pressure().end());
const double range = *minmax_iters.second - *minmax_iters.first;
// Use the base class' updateState().
Base::updateState(dx, reservoir_state, well_state);
// Compute relative change.
max_dp_rel_ = dx.head(reservoir_state.pressure().size()).abs().maxCoeff() / range;
// Restore rs and rv, also various state flags.
reservoir_state.gasoilratio() = rs_old;
reservoir_state.rv() = rv_old;
reservoir_state.hydroCarbonState() = hs_old;
Base::phaseCondition_ = phasecond_old;
Base::isRs_ = isRs_old;
Base::isRv_ = isRv_old;
Base::isSg_ = isSg_old;
}
bool getConvergence(const SimulatorTimerInterface& /* timer */, const int iteration)
Add sequential models for black oil. This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here
2015-12-01 07:15:35 -06:00
{
const double tol_p = 1e-11;
const double resmax = residual_.material_balance_eq[0].value().abs().maxCoeff();
if (Base::terminalOutputEnabled()) {
// Only rank 0 does print to std::cout
if (iteration == 0) {
OpmLog::info("\nIter Res(p) Delta(p)\n");
}
std::ostringstream os;
os.precision(3);
os.setf(std::ios::scientific);
os << std::setw(4) << iteration;
os << std::setw(11) << resmax;
os << std::setw(11) << max_dp_rel_;
OpmLog::info(os.str());
}
return resmax < tol_p;
}
};
/// Providing types by template specialisation of ModelTraits for BlackoilPressureModel.
template <class Grid, class WellModel>
struct ModelTraits< BlackoilPressureModel<Grid, WellModel> >
{
typedef BlackoilState ReservoirState;
typedef WellStateFullyImplicitBlackoil WellState;
typedef BlackoilModelParameters ModelParameters;
typedef DefaultBlackoilSolutionState SolutionState;
};
} // namespace Opm
#endif // OPM_BLACKOILPRESSUREMODEL_HEADER_INCLUDED