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Add robustSolveBhpAtThpLimitProd() method.
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@ -37,6 +37,8 @@
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#include <dune/common/dynvector.hh>
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#include <dune/common/dynmatrix.hh>
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#include <boost/optional.hpp>
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namespace Opm
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{
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@ -515,6 +517,9 @@ namespace Opm
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DeferredLogger& deferred_logger);
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boost::optional<double> robustSolveBhpAtThpLimitProd(const Simulator& ebos_simulator,
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const SummaryState& summary_state,
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DeferredLogger& deferred_logger) const;
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};
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}
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@ -3827,4 +3827,216 @@ namespace Opm
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}
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connectionRates_[perf][this->contiPolymerMWEqIdx] = Base::restrictEval(cq_s_polymw);
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}
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}
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template<typename TypeTag>
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boost::optional<double>
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StandardWell<TypeTag>::
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robustSolveBhpAtThpLimitProd(const Simulator& ebos_simulator,
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const SummaryState& summary_state,
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DeferredLogger& deferred_logger) const
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{
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// Given a VFP function returning bhp as a function of phase
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// rates and thp:
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// fbhp(rates, thp),
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// a function extracting the particular flow rate used for VFP
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// lookups:
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// flo(rates)
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// and the inflow function (assuming the reservoir is fixed):
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// frates(bhp)
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// we want to solve the equation:
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// fbhp(frates(bhp, thplimit)) - bhp = 0
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// for bhp.
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//
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// This may result in 0, 1 or 2 solutions. If two solutions,
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// the one corresponding to the lowest bhp (and therefore
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// highest rate) is returned.
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//
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// In order to detect these situations, we will find piecewise
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// linear approximations both to the inverse of the frates
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// function and to the fbhp function.
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//
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// We first take the FLO sample points of the VFP curve, and
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// find the corresponding bhp values by solving the equation:
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// flo(frates(bhp)) - flo_sample = 0
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// for bhp, for each flo_sample. The resulting (flo_sample,
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// bhp_sample) values give a piecewise linear approximation to
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// the true inverse inflow function, at the same flo values as
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// the VFP data. We also keep the computed frates(bhp_sample)
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// values, for use in the next step.
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//
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// Then we extract a piecewise linear approximation from the
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// multilinear fbhp() by evaluating it at the flo_sample
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// points, with fractions given by the frates(bhp_sample)
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// values.
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//
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// When we have both piecewise linear curves defined on the
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// same flo_sample points, it is easy to distinguish between
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// the 0, 1 or 2 solution cases, and obtain the right interval
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// in which to solve for the solution we want (with highest
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// flow in case of 2 solutions.
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// Make the fbhp() function.
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const auto& controls = well_ecl_.productionControls(summary_state);
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const auto& table = *(vfp_properties_->getProd()->getTable(controls.vfp_table_number));
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const double vfp_ref_depth = table.getDatumDepth();
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const double rho = perf_densities_[0]; // Use the density at the top perforation.
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const double dp = wellhelpers::computeHydrostaticCorrection(ref_depth_, vfp_ref_depth, rho, gravity_);
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auto fbhp = [this, &controls, dp](const std::vector<double>& rates) {
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assert(rates.size() == 3);
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return this->vfp_properties_->getProd()
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->bhp(controls.vfp_table_number, rates[Water], rates[Oil], rates[Gas], controls.thp_limit, controls.alq_value) - dp;
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};
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// Make the flo() function.
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auto flo_type = table.getFloType();
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auto flo = [flo_type](const std::vector<double>& rates) {
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return detail::getFlo(rates[Water], rates[Oil], rates[Gas], flo_type);
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};
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// Make the frates() function.
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auto frates = [this, &ebos_simulator, &deferred_logger](const double bhp) {
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// Not solving the well equations here, which means we are
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// calculating at the current Fg/Fw values of the
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// well. This does not matter unless the well is
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// crossflowing, and then it is likely still a good
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// approximation.
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std::vector<double> rates(3);
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computeWellRatesWithBhp(ebos_simulator, bhp, rates, deferred_logger);
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return rates;
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};
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// Get the flo samples, add extra samples at low rates and bhp
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// limit point if necessary. Then the sign must be flipped
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// since the VFP code expects that production flo values are
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// negative.
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std::vector<double> flo_samples = table.getFloAxis();
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if (flo_samples[0] > 0.0) {
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const double f0 = flo_samples[0];
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flo_samples.insert(flo_samples.begin(), { 0.0, f0/20.0, f0/10.0, f0/5.0, f0/2.0 });
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}
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const double flo_bhp_limit = -flo(frates(controls.bhp_limit));
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if (flo_samples.back() < flo_bhp_limit) {
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flo_samples.push_back(flo_bhp_limit);
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}
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for (double& x : flo_samples) {
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x = -x;
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}
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// Find bhp values for inflow relation corresponding to flo samples.
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std::vector<double> bhp_samples;
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for (double flo_sample : flo_samples) {
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if (flo_sample < -flo_bhp_limit) {
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// We would have to go under the bhp limit to obtain a
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// flow of this magnitude. We associate all such flows
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// with simply the bhp limit. The first one
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// encountered is considered valid, the rest not. They
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// are therefore skipped.
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bhp_samples.push_back(controls.bhp_limit);
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break;
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}
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auto eq = [&flo, &frates, flo_sample](double bhp) {
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return flo(frates(bhp)) - flo_sample;
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};
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// TODO: replace hardcoded low/high limits.
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const double low = 10.0 * unit::barsa;
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const double high = 400.0 * unit::barsa;
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const int max_iteration = 50;
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const double flo_tolerance = 1e-6 * std::fabs(flo_samples.back());
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int iteration = 0;
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try {
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const double solved_bhp = RegulaFalsi<>::
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solve(eq, low, high, max_iteration, flo_tolerance, iteration);
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bhp_samples.push_back(solved_bhp);
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}
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catch (...) {
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// Use previous value (or max value if at start) if we failed.
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bhp_samples.push_back(bhp_samples.empty() ? high : bhp_samples.back());
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deferred_logger.warning("FAILED_ROBUST_BHP_THP_SOLVE_EXTRACT_SAMPLES",
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"Robust bhp(thp) solve failed extracting bhp values at flo samples for well " + name());
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}
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}
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// Find bhp values for VFP relation corresponding to flo samples.
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const int num_samples = bhp_samples.size(); // Note that this can be smaller than flo_samples.size()
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std::vector<double> fbhp_samples(num_samples);
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for (int ii = 0; ii < num_samples; ++ii) {
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fbhp_samples[ii] = fbhp(frates(bhp_samples[ii]));
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}
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// #define EXTRA_THP_DEBUGGING
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#ifdef EXTRA_THP_DEBUGGING
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std::string dbgmsg;
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dbgmsg += "flo: ";
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for (int ii = 0; ii < num_samples; ++ii) {
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dbgmsg += " " + std::to_string(flo_samples[ii]);
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}
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dbgmsg += "\nbhp: ";
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for (int ii = 0; ii < num_samples; ++ii) {
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dbgmsg += " " + std::to_string(bhp_samples[ii]);
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}
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dbgmsg += "\nfbhp: ";
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for (int ii = 0; ii < num_samples; ++ii) {
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dbgmsg += " " + std::to_string(fbhp_samples[ii]);
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}
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OpmLog::debug(dbgmsg);
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#endif // EXTRA_THP_DEBUGGING
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// Look for sign changes for the (fbhp_samples - bhp_samples) piecewise linear curve.
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// We only look at the valid
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int sign_change_index = -1;
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for (int ii = 0; ii < num_samples - 1; ++ii) {
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const double curr = fbhp_samples[ii] - bhp_samples[ii];
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const double next = fbhp_samples[ii + 1] - bhp_samples[ii + 1];
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if (curr * next < 0.0) {
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// Sign change in the [ii, ii + 1] interval.
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sign_change_index = ii; // May overwrite, thereby choosing the highest-flo solution.
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}
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}
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// Handle the no solution case.
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if (sign_change_index == -1) {
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return boost::optional<double>();
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}
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// Solve for the proper solution in the given interval.
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auto eq = [&fbhp, &frates](double bhp) {
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return fbhp(frates(bhp)) - bhp;
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};
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// TODO: replace hardcoded low/high limits.
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const double low = bhp_samples[sign_change_index + 1];
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const double high = bhp_samples[sign_change_index];
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const int max_iteration = 50;
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const double bhp_tolerance = 0.01 * unit::barsa;
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int iteration = 0;
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if (low == high) {
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// We are in the high flow regime where the bhp_samples
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// are all equal to the bhp_limit.
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assert(low == controls.bhp_limit);
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deferred_logger.warning("FAILED_ROBUST_BHP_THP_SOLVE",
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"Robust bhp(thp) solve failed for well " + name());
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return boost::optional<double>();
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}
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try {
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const double solved_bhp = RegulaFalsi<>::
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solve(eq, low, high, max_iteration, bhp_tolerance, iteration);
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#ifdef EXTRA_THP_DEBUGGING
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OpmLog::debug("***** " + name() + " solved_bhp = " + std::to_string(solved_bhp)
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+ " flo_bhp_limit = " + std::to_string(flo_bhp_limit));
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#endif // EXTRA_THP_DEBUGGING
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return solved_bhp;
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}
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catch (...) {
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// Use previous value (or max value if at start) if we failed.
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deferred_logger.warning("FAILED_ROBUST_BHP_THP_SOLVE",
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"Robust bhp(thp) solve failed for well " + name());
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return boost::optional<double>();
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}
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}
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} // namespace Opm
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