mirror of
https://github.com/OPM/opm-simulators.git
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204 lines
6.9 KiB
C++
204 lines
6.9 KiB
C++
/*
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Copyright 2013, 2015 SINTEF ICT, Applied Mathematics.
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Copyright 2014, 2015 Dr. Blatt - HPC-Simulation-Software & Services
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Copyright 2014, 2015 Statoil ASA.
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Copyright 2015 NTNU
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Copyright 2015 IRIS AS
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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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#ifndef OPM_BLACKOILDETAILS_HEADER_INCLUDED
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#define OPM_BLACKOILDETAILS_HEADER_INCLUDED
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#include <opm/core/linalg/ParallelIstlInformation.hpp>
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namespace Opm {
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namespace detail {
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inline
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std::vector<int>
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buildAllCells(const int nc)
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{
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std::vector<int> all_cells(nc);
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for (int c = 0; c < nc; ++c) { all_cells[c] = c; }
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return all_cells;
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}
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template <class PU>
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std::vector<bool>
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activePhases(const PU& pu)
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{
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const int maxnp = Opm::BlackoilPhases::MaxNumPhases;
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std::vector<bool> active(maxnp, false);
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for (int p = 0; p < pu.MaxNumPhases; ++p) {
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active[ p ] = pu.phase_used[ p ] != 0;
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}
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return active;
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}
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template <class PU>
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std::vector<int>
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active2Canonical(const PU& pu)
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{
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const int maxnp = Opm::BlackoilPhases::MaxNumPhases;
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std::vector<int> act2can(maxnp, -1);
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for (int phase = 0; phase < maxnp; ++phase) {
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if (pu.phase_used[ phase ]) {
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act2can[ pu.phase_pos[ phase ] ] = phase;
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}
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}
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return act2can;
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}
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inline
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double getGravity(const double* g, const int dim) {
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double grav = 0.0;
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if (g) {
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// Guard against gravity in anything but last dimension.
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for (int dd = 0; dd < dim - 1; ++dd) {
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assert(g[dd] == 0.0);
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}
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grav = g[dim - 1];
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}
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return grav;
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}
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/// \brief Compute the Euclidian norm of a vector
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/// \warning In the case that num_components is greater than 1
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/// an interleaved ordering is assumed. E.g. for each cell
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/// all phases of that cell are stored consecutively. First
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/// the ones for cell 0, then the ones for cell 1, ... .
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/// \param it begin iterator for the given vector
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/// \param end end iterator for the given vector
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/// \param num_components number of components (i.e. phases) in the vector
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/// \param pinfo In a parallel this holds the information about the data distribution.
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template <class Iterator>
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inline
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double euclidianNormSquared( Iterator it, const Iterator end, int num_components, const boost::any& pinfo = boost::any() )
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{
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static_cast<void>(num_components); // Suppress warning in the serial case.
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static_cast<void>(pinfo); // Suppress warning in non-MPI case.
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#if HAVE_MPI
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if ( pinfo.type() == typeid(ParallelISTLInformation) )
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{
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const ParallelISTLInformation& info =
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boost::any_cast<const ParallelISTLInformation&>(pinfo);
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typedef typename Iterator::value_type Scalar;
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Scalar product = 0.0;
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int size_per_component = (end - it);
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size_per_component /= num_components; // two lines to supresse unused warning.
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assert((end - it) == num_components * size_per_component);
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if( num_components == 1 )
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{
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auto component_container =
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boost::make_iterator_range(it, end);
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info.computeReduction(component_container,
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Opm::Reduction::makeInnerProductFunctor<double>(),
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product);
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}
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else
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{
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auto& maskContainer = info.getOwnerMask();
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auto mask = maskContainer.begin();
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assert(static_cast<int>(maskContainer.size()) == size_per_component);
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for(int cell = 0; cell < size_per_component; ++cell, ++mask)
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{
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Scalar cell_product = (*it) * (*it);
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++it;
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for(int component=1; component < num_components;
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++component, ++it)
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{
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cell_product += (*it) * (*it);
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}
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product += cell_product * (*mask);
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}
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}
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return info.communicator().sum(product);
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}
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else
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#endif
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{
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double product = 0.0 ;
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for( ; it != end; ++it ) {
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product += ( *it * *it );
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}
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return product;
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}
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}
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/// \brief Get the number of local interior cells in a grid.
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/// \tparam The type of the DUNE grid.
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/// \param grid The grid which cells we count
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/// \return The number of interior cell in the partition of the
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/// grid stored on this process.
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template<class Grid>
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std::size_t countLocalInteriorCells(const Grid& grid)
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{
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if ( grid.comm().size() == 1)
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{
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return grid.size(0);
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}
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std::size_t count = 0;
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const auto& gridView = grid.leafGridView();
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for(auto cell = gridView.template begin<0, Dune::Interior_Partition>(),
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endCell = gridView.template end<0, Dune::Interior_Partition>();
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cell != endCell; ++cell)
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{
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++count;
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}
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return count;
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}
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/// \brief Get the number of cells of a global grid.
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///
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/// In a parallel run this is the number of cells that a grid would
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/// have if the whole grid was stored on one process only.
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/// \tparam The type of the DUNE grid.
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/// \param grid The grid which cells we count
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/// \return The global number of cells.
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template<class Grid>
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std::size_t countGlobalCells(const Grid& grid)
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{
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if ( grid.comm().size() == 1)
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{
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return grid.size(0);
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}
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std::size_t count = countLocalInteriorCells(grid);
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return grid.comm().sum(count);
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}
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} // namespace detail
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} // namespace Opm
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#endif // OPM_BLACKOILDETAILS_HEADER_INCLUDED
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