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distributionsrockstorage.cpp
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#include "nrlib/trend/trendstorage.hpp"
#include "nrlib/trend/trend.hpp"
#include "nrlib/grid/grid2d.hpp"
#include "nrlib/iotools/stringtools.hpp"
#include "rplib/distributionsrock.h"
#include "rplib/distributionssolid.h"
#include "rplib/distributionsdryrock.h"
#include "rplib/distributionsfluid.h"
#include "rplib/rock.h"
#include "rplib/distributionsrockstorage.h"
#include "rplib/distributionssolidstorage.h"
#include "rplib/distributionsdryrockstorage.h"
#include "rplib/distributionsfluidstorage.h"
#include "rplib/distributionsrocktabulated.h"
#include "rplib/distributionsrockbounding.h"
#include "rplib/distributionsrockmix.h"
#include "rplib/distributionsrockdem.h"
#include "rplib/distributionsrockgassmann.h"
#include "rplib/distributionwithtrend.h"
#include "rplib/distributionwithtrendstorage.h"
#include "rplib/distributionsstoragekit.h"
#include "src/modelsettings.h"
//#include "src/blockedlogsforrockphysics.h"
#include "src/blockedlogscommon.h"
#include <typeinfo>
DistributionsRockStorage::DistributionsRockStorage()
{
}
DistributionsRockStorage::~DistributionsRockStorage()
{
}
std::vector<DistributionsRock *>
DistributionsRockStorage::CreateDistributionsRockMix(const int & n_vintages,
const std::string & path,
const std::vector<std::string> & trend_cube_parameters,
const std::vector<std::vector<double> > & trend_cube_sampling,
const std::vector<BlockedLogsCommon *> & blockedLogs,
const std::vector<std::string> & constituent_label,
const std::vector<std::vector<DistributionWithTrendStorage *> > & constituent_volume_fraction,
const std::map<std::string, DistributionsRockStorage *> & model_rock_storage,
const std::map<std::string, DistributionsSolidStorage *> & model_solid_storage,
const std::map<std::string, DistributionsDryRockStorage *> & model_dry_rock_storage,
const std::map<std::string, DistributionsFluidStorage *> & model_fluid_storage,
const int output_other,
DEMTools::MixMethod mix_method,
std::string & errTxt) const
{
int n_constituents = static_cast<int>(constituent_label.size());
std::vector<int> n_vintages_constit(n_constituents);
for(int i=0; i<n_constituents; i++)
n_vintages_constit[i] = static_cast<int>(constituent_volume_fraction[i].size());
std::vector<double> alpha(n_constituents);
for(int i=0; i<n_constituents; i++) {
if(constituent_volume_fraction[i][0] != NULL)
alpha[i] = constituent_volume_fraction[i][0]->GetOneYearCorrelation();
else
alpha[i] = 1;
}
std::vector<double> s_min;
std::vector<double> s_max;
FindSMinMax(trend_cube_sampling, s_min, s_max);
const std::vector<std::vector<double> > dummy_blocked_logs;
const std::vector<std::vector<double> > dummy_s1;
const std::vector<std::vector<double> > dummy_s2;
const int dummy_output_other = -999;
for(int i=0; i<n_constituents; i++)
CheckValuesInZeroOne(constituent_volume_fraction[i], "volume-fraction", path, trend_cube_parameters, trend_cube_sampling, dummy_blocked_logs, errTxt);
std::vector<DistributionsRock *> final_dist_rock(n_vintages, NULL);
std::vector<std::vector<DistributionWithTrend *> > all_volume_fractions(n_vintages);
for(int i=0; i<n_vintages; i++)
all_volume_fractions[i].resize(n_constituents, NULL);
for(int i=0; i<n_vintages; i++) {
for (int s=0; s<n_constituents; s++) {
if(i < n_vintages_constit[s]) {
if(constituent_volume_fraction[s][i] != NULL)
all_volume_fractions[i][s] = constituent_volume_fraction[s][i]->GenerateDistributionWithTrend(path,
trend_cube_parameters,
trend_cube_sampling,
dummy_blocked_logs,
dummy_s1,
dummy_s2,
dummy_output_other,
"dummy",
errTxt);
}
else {
if(all_volume_fractions[i-1][s] != NULL)
all_volume_fractions[i][s] = all_volume_fractions[i-1][s]->Clone();
}
}
CheckVolumeConsistency(all_volume_fractions[i], errTxt);
}
bool mix_rock = false;
bool mix_fluid = false;
bool mix_solid = false;
std::vector<int> constituent_type(n_constituents);
FindMixTypesForRock(constituent_label,
n_constituents,
model_rock_storage,
model_solid_storage,
model_dry_rock_storage,
model_fluid_storage,
mix_rock,
mix_solid,
mix_fluid,
constituent_type,
errTxt);
if(mix_rock == true) {
std::vector<std::vector<DistributionsRock *> > distr_rock(n_vintages);
for(int i=0; i<n_vintages; i++)
distr_rock[i].resize(n_constituents, NULL);
for(int s=0; s<n_constituents; s++) {
std::vector<DistributionsRock *> distr_rock_all_vintages = ReadRock(n_vintages,
constituent_label[s],
path,
trend_cube_parameters,
trend_cube_sampling,
blockedLogs,
model_rock_storage,
model_solid_storage,
model_dry_rock_storage,
model_fluid_storage,
output_other,
errTxt);
int n_vintages_rock = static_cast<int>(distr_rock_all_vintages.size());
for(int i=0; i<n_vintages; i++) {
if(i < n_vintages_rock)
distr_rock[i][s] = distr_rock_all_vintages[i];
else
distr_rock[i][s] = distr_rock[i-1][s]->Clone();
}
}
if(errTxt == "") {
for(int i=0; i<n_vintages; i++)
final_dist_rock[i] = new DistributionsRockMixOfRock(distr_rock[i],
all_volume_fractions[i],
mix_method,
alpha,
s_min,
s_max);
for(int i=0; i<n_vintages; i++) {
for(size_t s=0; s<distr_rock.size(); s++)
delete distr_rock[i][s];
for(size_t s=0; s<all_volume_fractions.size(); s++) {
if(all_volume_fractions[i][s] != NULL) {
if(all_volume_fractions[i][s]->GetIsShared() == false)
delete all_volume_fractions[i][s];
}
}
}
}
}
else if(mix_fluid == true && mix_solid == true) {
std::vector<std::vector<DistributionsFluid *> > distr_fluid(n_vintages);
std::vector<std::vector<DistributionsSolid *> > distr_solid(n_vintages);
std::vector<std::vector<DistributionWithTrend *> > fluid_volume_fractions(n_vintages);
std::vector<std::vector<DistributionWithTrend *> > solid_volume_fractions(n_vintages);
std::vector<double> solid_alpha;
std::vector<double> fluid_alpha;
int n_fluids = 0;
int n_solids = 0;
for(int s=0; s<n_constituents; s++) {
if(constituent_type[s] == ModelSettings::FLUID) {
std::vector<DistributionsFluid *> constit_fluid_all_vintages = ReadFluid(n_vintages,
constituent_label[s],
path,
trend_cube_parameters,
trend_cube_sampling,
model_fluid_storage,
errTxt);
int n_vintages_fluid = static_cast<int>(constit_fluid_all_vintages.size());
for(int i=0; i<n_vintages; i++)
distr_fluid[i].resize(n_fluids+1);
for(int i=0; i<n_vintages; i++) {
if(i < n_vintages_fluid)
distr_fluid[i][n_fluids] = constit_fluid_all_vintages[i];
else
distr_fluid[i][n_fluids] = distr_fluid[i-1][n_fluids]->Clone();
}
for(int i=0; i<n_vintages; i++)
fluid_volume_fractions[i].push_back(all_volume_fractions[i][s]);
fluid_alpha.push_back(alpha[s]);
n_fluids++;
}
else {
std::vector<DistributionsSolid *> constit_solid_all_vintages = ReadSolid(n_vintages,
constituent_label[s],
path,
trend_cube_parameters,
trend_cube_sampling,
model_solid_storage,
errTxt);
int n_vintages_solid = static_cast<int>(constit_solid_all_vintages.size());
for(int i=0; i<n_vintages_solid; i++)
distr_solid[i].resize(n_solids+1);
for(int i=0; i<n_vintages; i++) {
if(i < n_vintages_solid)
distr_solid[i][n_solids] = constit_solid_all_vintages[i];
else
distr_solid[i][n_solids] = distr_solid[i-1][n_solids]->Clone();
}
for(int i=0; i<n_vintages; i++)
solid_volume_fractions[i].push_back(all_volume_fractions[i][s]);
solid_alpha.push_back(alpha[s]);
n_solids++;
}
}
// Reuse alpha, but now it is sorted
for(int i=0; i<n_solids; i++)
alpha[i] = solid_alpha[i];
for(int i=0; i<n_fluids; i++)
alpha[i+n_solids] = fluid_alpha[i];
if(errTxt == "") {
for(int i=0; i<n_vintages; i++)
final_dist_rock[i] = new DistributionsRockMixOfSolidAndFluid(distr_solid[i],
distr_fluid[i],
solid_volume_fractions[i],
fluid_volume_fractions[i],
mix_method,
alpha,
s_min,
s_max);
for(int i=0; i<n_vintages; i++) {
for(size_t s=0; s<distr_solid[i].size(); s++)
delete distr_solid[i][s];
for(size_t s=0; s<distr_fluid[i].size(); s++)
delete distr_fluid[i][s];
for(size_t s=0; s<solid_volume_fractions[i].size(); s++) {
if(solid_volume_fractions[i][s] != NULL) {
if(solid_volume_fractions[i][s]->GetIsShared() == false)
delete solid_volume_fractions[i][s];
}
}
for(size_t s=0; s<fluid_volume_fractions[i].size(); s++) {
if(fluid_volume_fractions[i][s] != NULL) {
if(fluid_volume_fractions[i][s]->GetIsShared() == false)
delete fluid_volume_fractions[i][s];
}
}
}
}
}
return(final_dist_rock);
}
//----------------------------------------------------------------------------------//
TabulatedVelocityRockStorage::TabulatedVelocityRockStorage(std::vector<DistributionWithTrendStorage *> vp,
std::vector<DistributionWithTrendStorage *> vs,
std::vector<DistributionWithTrendStorage *> density,
std::vector<DistributionWithTrendStorage *> correlation_vp_vs,
std::vector<DistributionWithTrendStorage *> correlation_vp_density,
std::vector<DistributionWithTrendStorage *> correlation_vs_density,
std::string rock_name)
: vp_(vp),
vs_(vs),
density_(density),
correlation_vp_vs_(correlation_vp_vs),
correlation_vp_density_(correlation_vp_density),
correlation_vs_density_(correlation_vs_density),
rock_name_(rock_name)
{
}
TabulatedVelocityRockStorage::~TabulatedVelocityRockStorage()
{
if(vp_[0]->GetIsShared() == false)
delete vp_[0];
if(vs_[0]->GetIsShared() == false)
delete vs_[0];
if(density_[0]->GetIsShared() == false)
delete density_[0];
if(correlation_vp_vs_[0]->GetIsShared() == false)
delete correlation_vp_vs_[0];
if(correlation_vp_density_[0]->GetIsShared() == false)
delete correlation_vp_density_[0];
if(correlation_vs_density_[0]->GetIsShared() == false)
delete correlation_vs_density_[0];
}
std::vector<DistributionsRock *>
TabulatedVelocityRockStorage::GenerateDistributionsRock(const int & n_vintages,
const std::string & path,
const std::vector<std::string> & trend_cube_parameters,
const std::vector<std::vector<double> > & trend_cube_sampling,
const std::vector<BlockedLogsCommon *> & blockedLogs,
const std::map<std::string, DistributionsRockStorage *> & /*model_rock_storage*/,
const std::map<std::string, DistributionsSolidStorage *> & /*model_solid_storage*/,
const std::map<std::string, DistributionsDryRockStorage *> & /*model_dry_rock_storage*/,
const std::map<std::string, DistributionsFluidStorage *> & /*model_fluid_storage*/,
const int output_other,
std::string & errTxt) const
{
LogKit::LogFormatted(LogKit::Low," Generating Tabulated rock physics model\n");
std::vector<double> alpha(3);
alpha[0] = vp_[0] ->GetOneYearCorrelation();
alpha[1] = vs_[0] ->GetOneYearCorrelation();
alpha[2] = density_[0]->GetOneYearCorrelation();
std::vector<double> s_min;
std::vector<double> s_max;
FindSMinMax(trend_cube_sampling, s_min, s_max);
int n_vintages_vp = static_cast<int>(vp_.size());
int n_vintages_vs = static_cast<int>(vs_.size());
int n_vintages_density = static_cast<int>(density_.size());
int n_vintages_vp_vs = static_cast<int>(correlation_vp_vs_.size());
int n_vintages_vp_density = static_cast<int>(correlation_vs_density_.size());
int n_vintages_vs_density = static_cast<int>(correlation_vs_density_.size());
std::string tmpErrTxt = "";
// Use blockedLogs given facies
int nWells = static_cast<int>(blockedLogs.size());
std::vector<std::vector<double> > vp_given_facies(nWells);
for(int i=0; i<nWells; i++) {
vp_given_facies[i] = blockedLogs[i]->GetVpForFacies(rock_name_);
}
std::vector<std::vector<double> > vs_given_facies(nWells);
for(int i=0; i<nWells; i++) {
vs_given_facies[i] = blockedLogs[i]->GetVsForFacies(rock_name_);
}
std::vector<std::vector<double> > density_given_facies(nWells);
for(int i=0; i<nWells; i++) {
density_given_facies[i] = blockedLogs[i]->GetRhoForFacies(rock_name_);
}
std::vector<std::vector<double> > s1(nWells);
for (int i=0; i<nWells; i++) {
s1[i] = blockedLogs[i]->GetS1();
}
std::vector<std::vector<double> > s2(nWells);
for (int i=0; i<nWells; i++) {
s2[i] = blockedLogs[i]->GetS2();
}
for(int i=0; i<n_vintages_vp; i++) {
if(i == 0) {
if(vp_[i]->GetEstimate() == true && vp_given_facies.size() == 0)
tmpErrTxt += "Vp can not be estimated as no Vp log is given in the wells\n";
}
else {
if(vp_[i]->GetEstimate() == true)
tmpErrTxt += "Vp can not be estimated for time lapse data\n";
}
}
for(int i=0; i<n_vintages_vs; i++) {
if(i == 0) {
if(vs_[i]->GetEstimate() == true && vs_given_facies.size() == 0)
tmpErrTxt += "Vs can not be estimated as no Vs log is given in the wells\n";
}
else {
if(vs_[i]->GetEstimate() == true)
tmpErrTxt += "Vs can not be estimated for time lapse data\n";
}
}
for(int i=0; i<n_vintages_density; i++) {
if(i == 0) {
if(density_[i]->GetEstimate() == true && density_given_facies.size() == 0)
tmpErrTxt += "Density can not be estimated as no density log is given in the wells\n";
}
else {
if(density_[i]->GetEstimate() == true)
tmpErrTxt += "Density can not be estimated for time lapse data\n";
}
}
std::vector<DistributionsRock *> dist_rock(n_vintages, NULL);
std::vector<DistributionWithTrend *> vp_dist_with_trend(n_vintages, NULL);
std::vector<DistributionWithTrend *> vs_dist_with_trend(n_vintages, NULL);
std::vector<DistributionWithTrend *> density_dist_with_trend(n_vintages, NULL);
if(tmpErrTxt == "") {
for(int i=0; i<n_vintages; i++) {
if (i < n_vintages_vp)
vp_dist_with_trend[i] = vp_[i]->GenerateDistributionWithTrend(path,
trend_cube_parameters,
trend_cube_sampling,
vp_given_facies,
s1,
s2,
output_other,
rock_name_ + "_vp",
tmpErrTxt);
else
vp_dist_with_trend[i] = vp_dist_with_trend[i-1]->Clone();
if(i < n_vintages_vs)
vs_dist_with_trend[i] = vs_[i]->GenerateDistributionWithTrend(path,
trend_cube_parameters,
trend_cube_sampling,
vs_given_facies,
s1,
s2,
output_other,
rock_name_ + "_vs",
tmpErrTxt);
else
vs_dist_with_trend[i] = vs_dist_with_trend[i-1]->Clone();
if(i < n_vintages_density)
density_dist_with_trend[i] = density_[i]->GenerateDistributionWithTrend(path,
trend_cube_parameters,
trend_cube_sampling,
density_given_facies,
s1,
s2,
output_other,
rock_name_ + "_density",
tmpErrTxt);
else
density_dist_with_trend[i] = density_dist_with_trend[i-1]->Clone();
}
}
std::vector<double> corr_vp_vs(n_vintages, 0);
std::vector<double> corr_vp_density(n_vintages, 0);
std::vector<double> corr_vs_density(n_vintages, 0);
std::vector<double> x;
std::vector<double> x_mean;
std::vector<double> x_variance;
std::vector<double> y;
std::vector<double> y_mean;
std::vector<double> y_variance;
for(int i=0; i<n_vintages_vp_vs; i++) {
if(correlation_vp_vs_[i]->GetEstimate() == true) {
if(i == 0) {
if(vp_given_facies.size() == 0 || vs_given_facies.size() == 0) {
tmpErrTxt += "<correlation-vp-vs> can not be estimated as both Vp and Vs logs are not given in the wells\n";
} else {
PreprocessDataForSpearmanCorrelation(s1,
s2,
vp_given_facies,
vs_given_facies,
vp_dist_with_trend[i],
vs_dist_with_trend[i],
x,
x_mean,
x_variance,
y,
y_mean,
y_variance,
errTxt);
corr_vp_vs[0] = EstimateSpearmanCorrelation(x, x_mean, x_variance, y, y_mean, y_variance, errTxt);
}
}
else
tmpErrTxt += "<correlation-vp-vs> can not be estimatedfor time lapse data\n";
}
else
FindDoubleValueFromDistributionWithTrend(correlation_vp_vs_[i], "correlation", corr_vp_vs[i], errTxt);
if(corr_vp_vs[i] > 1 || corr_vp_vs[i] < -1)
errTxt += "<correlation-vp-vs> should be in the interval [-1,1] in the tabulated model\n";
}
for(int i=0; i<n_vintages_vp_density; i++) {
if(correlation_vp_density_[i]->GetEstimate() == true) {
if(i == 0) {
if(vp_given_facies.size() == 0 || density_given_facies.size() == 0) {
tmpErrTxt += "<correlation-vp-density> can not be estimated as both Vp and density logs are not given in the wells\n";
} else {
PreprocessDataForSpearmanCorrelation(s1,
s2,
vp_given_facies,
density_given_facies,
vp_dist_with_trend[i],
density_dist_with_trend[i],
x,
x_mean,
x_variance,
y,
y_mean,
y_variance,
errTxt);
corr_vp_density[0] = EstimateSpearmanCorrelation(x, x_mean, x_variance, y, y_mean, y_variance, errTxt);
}
}
else
tmpErrTxt += "<correlation-vp-density> can not be estimatedfor time lapse data\n";
}
else
FindDoubleValueFromDistributionWithTrend(correlation_vp_density_[i], "correlation", corr_vp_density[i], errTxt);
if(corr_vp_density[i] > 1 || corr_vp_density[i] < -1)
errTxt += "<correlation-vp-density> should be in the interval [-1,1] in the tabulated model\n";
}
for(int i=0; i<n_vintages_vs_density; i++) {
if(correlation_vs_density_[i]->GetEstimate() == true) {
if(i == 0) {
if(vs_given_facies.size() == 0 || density_given_facies.size() == 0) {
tmpErrTxt += "<correlation-vs-density> can not be estimated as both Vs and density logs are not given in the wells\n";
} else {
PreprocessDataForSpearmanCorrelation(s1,
s2,
vs_given_facies,
density_given_facies,
vs_dist_with_trend[i],
density_dist_with_trend[i],
x,
x_mean,
x_variance,
y,
y_mean,
y_variance,
errTxt);
corr_vs_density[0] = EstimateSpearmanCorrelation(x, x_mean, x_variance, y, y_mean, y_variance, errTxt);
}
}
else
tmpErrTxt += "<correlation-vs-density> can not be estimated for time lapse data\n";
}
else
FindDoubleValueFromDistributionWithTrend(correlation_vs_density_[i], "correlation", corr_vs_density[i], errTxt);
if(corr_vs_density[i] > 1 || corr_vs_density[i] < -1)
errTxt += "<correlation-vs-density> should be in the interval [-1,1] in the tabulated model\n";
}
if(tmpErrTxt == "") {
for(int i=0; i<n_vintages; i++) {
if(i >= n_vintages_vp_vs)
corr_vp_vs[i] = corr_vp_vs[i-1];
if(i >= n_vintages_vp_density)
corr_vp_density[i] = corr_vp_density[i-1];
if(i >= n_vintages_vs_density)
corr_vs_density[i] = corr_vs_density[i-1];
}
for(int i=0; i<n_vintages; i++) {
std::string corrErrTxt = "";
CheckPositiveDefiniteCorrMatrix(corr_vp_vs[i], corr_vp_density[i], corr_vs_density[i], corrErrTxt);
if(corrErrTxt != "") {
if(n_vintages > 1)
tmpErrTxt += "Vintage "+NRLib::ToString(i+1)+":";
tmpErrTxt += corrErrTxt;
}
}
}
if(tmpErrTxt == "") {
for(int i=0; i<n_vintages; i++) {
DistributionsRock * rock = new DistributionsRockTabulated(vp_dist_with_trend[i],
vs_dist_with_trend[i],
density_dist_with_trend[i],
corr_vp_vs[i],
corr_vp_density[i],
corr_vs_density[i],
DEMTools::Velocity,
alpha,
s_min,
s_max);
dist_rock[i] = rock;
}
for(int i=0; i<n_vintages; i++) {
if(vp_dist_with_trend[i]->GetIsShared() == false)
delete vp_dist_with_trend[i];
if(vs_dist_with_trend[i]->GetIsShared() == false)
delete vs_dist_with_trend[i];
if(density_dist_with_trend[i]->GetIsShared() == false)
delete density_dist_with_trend[i];
}
}
else{
errTxt += "Problems with the Tabulated rock physics model:\n";
errTxt += tmpErrTxt;
}
return(dist_rock);
}
//----------------------------------------------------------------------------------//
TabulatedModulusRockStorage::TabulatedModulusRockStorage(std::vector<DistributionWithTrendStorage *> bulk_modulus,
std::vector<DistributionWithTrendStorage *> shear_modulus,
std::vector<DistributionWithTrendStorage *> density,
std::vector<DistributionWithTrendStorage *> correlation_bulk_shear,
std::vector<DistributionWithTrendStorage *> correlation_bulk_density,
std::vector<DistributionWithTrendStorage *> correlation_shear_density,
std::string rock_name)
: bulk_modulus_(bulk_modulus),
shear_modulus_(shear_modulus),
density_(density),
correlation_bulk_shear_(correlation_bulk_shear),
correlation_bulk_density_(correlation_bulk_density),
correlation_shear_density_(correlation_shear_density),
rock_name_(rock_name)
{
}
TabulatedModulusRockStorage::~TabulatedModulusRockStorage()
{
if(bulk_modulus_[0]->GetIsShared() == false)
delete bulk_modulus_[0];
if(shear_modulus_[0]->GetIsShared() == false)
delete shear_modulus_[0];
if(density_[0]->GetIsShared() == false)
delete density_[0];
if(correlation_bulk_shear_[0]->GetIsShared() == false)
delete correlation_bulk_shear_[0];
if(correlation_bulk_density_[0]->GetIsShared() == false)
delete correlation_bulk_density_[0];
if(correlation_shear_density_[0]->GetIsShared() == false)
delete correlation_shear_density_[0];
}
std::vector<DistributionsRock *>
TabulatedModulusRockStorage::GenerateDistributionsRock(const int & n_vintages,
const std::string & path,
const std::vector<std::string> & trend_cube_parameters,
const std::vector<std::vector<double> > & trend_cube_sampling,
const std::vector<BlockedLogsCommon *> & blockedLogs,
const std::map<std::string, DistributionsRockStorage *> & /*model_rock_storage*/,
const std::map<std::string, DistributionsSolidStorage *> & /*model_solid_storage*/,
const std::map<std::string, DistributionsDryRockStorage *> & /*model_dry_rock_storage*/,
const std::map<std::string, DistributionsFluidStorage *> & /*model_fluid_storage*/,
const int output_other,
std::string & errTxt) const
{
LogKit::LogFormatted(LogKit::Low," Generating Tabulated rock physics model\n");
std::vector<double> alpha(3);
alpha[0] = bulk_modulus_[0] ->GetOneYearCorrelation();
alpha[1] = shear_modulus_[0]->GetOneYearCorrelation();
alpha[2] = density_[0] ->GetOneYearCorrelation();
std::vector<double> s_min;
std::vector<double> s_max;
FindSMinMax(trend_cube_sampling, s_min, s_max);
int n_vintages_bulk = static_cast<int>(bulk_modulus_.size());
int n_vintages_shear = static_cast<int>(shear_modulus_.size());
int n_vintages_density = static_cast<int>(density_.size());
int n_vintages_bulk_shear = static_cast<int>(correlation_bulk_shear_.size());
int n_vintages_bulk_density = static_cast<int>(correlation_bulk_density_.size());
int n_vintages_shear_density = static_cast<int>(correlation_shear_density_.size());
std::string tmpErrTxt = "";
// Use blockedLogs given facies
int nWells = static_cast<int>(blockedLogs.size());
std::vector<std::vector<double> > bulk_given_facies(nWells);
for(int i=0; i<nWells; i++) {
bulk_given_facies[i] = blockedLogs[i]->GetBulkForFacies(rock_name_);
}
std::vector<std::vector<double> > shear_given_facies(nWells);
for(int i=0; i<nWells; i++) {
shear_given_facies[i] = blockedLogs[i]->GetShearForFacies(rock_name_);
}
std::vector<std::vector<double> > density_given_facies(nWells);
for(int i=0; i<nWells; i++) {
density_given_facies[i] = blockedLogs[i]->GetRhoForFacies(rock_name_);
}
std::vector<std::vector<double> > s1(nWells);
for (int i=0; i<nWells; i++) {
s1[i] = blockedLogs[i]->GetS1();
}
std::vector<std::vector<double> > s2(nWells);
for (int i=0; i<nWells; i++) {
s2[i] = blockedLogs[i]->GetS2();
}
for(int i=0; i<n_vintages_bulk; i++) {
if(i == 0) {
if(bulk_modulus_[i]->GetEstimate() == true && bulk_given_facies.size() == 0)
tmpErrTxt += "Bulk modulus can not be estimated as all of Vp, Vs and density logs are not given in the wells\n";
}
else {
if(bulk_modulus_[i]->GetEstimate() == true)
tmpErrTxt += "Bulk modulus can not be estimated for time lapse data\n";
}
}
for(int i=0; i<n_vintages_shear; i++) {
if(i == 0) {
if(shear_modulus_[i]->GetEstimate() == true && shear_given_facies.size() == 0)
tmpErrTxt += "Shear modulus can not be estimated as all of Vp, Vs and density logs are not given in the wells\n";
}
else {
if(shear_modulus_[i]->GetEstimate() == true)
tmpErrTxt += "Shear modulus can not be estimated for time lapse data\n";
}
}
for(int i=0; i<n_vintages_density; i++) {
if(i == 0) {
if(density_[i]->GetEstimate() == true && density_given_facies.size() == 0)
tmpErrTxt += "Density can not be estimated as no density log is given in the wells\n";
}
else {
if(density_[i]->GetEstimate() == true)
tmpErrTxt += "Density can not be estimated for time lapse data\n";
}
}
std::vector<DistributionsRock *> dist_rock(n_vintages, NULL);
std::vector<DistributionWithTrend *> bulk_dist_with_trend(n_vintages, NULL);
std::vector<DistributionWithTrend *> shear_dist_with_trend(n_vintages, NULL);
std::vector<DistributionWithTrend *> density_dist_with_trend(n_vintages, NULL);
if(tmpErrTxt == "") {
for(int i=0; i<n_vintages; i++) {
if(i < n_vintages_bulk)
bulk_dist_with_trend[i] = bulk_modulus_[i]->GenerateDistributionWithTrend(path,
trend_cube_parameters,
trend_cube_sampling,
bulk_given_facies,
s1,
s2,
output_other,
rock_name_ + "_bulk_modulus",
tmpErrTxt);
else
bulk_dist_with_trend[i] = bulk_dist_with_trend[i-1]->Clone();
if(i < n_vintages_shear)
shear_dist_with_trend[i] = shear_modulus_[i]->GenerateDistributionWithTrend(path,
trend_cube_parameters,
trend_cube_sampling,
shear_given_facies,
s1,
s2,
output_other,
rock_name_ + "_shear_modulus",
tmpErrTxt);
else
shear_dist_with_trend[i] = shear_dist_with_trend[i-1]->Clone();
if(i < n_vintages_density)
density_dist_with_trend[i] = density_[i]->GenerateDistributionWithTrend(path,
trend_cube_parameters,
trend_cube_sampling,
density_given_facies,
s1,
s2,
output_other,
rock_name_ + "_density",
tmpErrTxt);
else
density_dist_with_trend[i] = density_dist_with_trend[i-1]->Clone();
double lower_mega = 1.0e+6;
double upper_mega = 1.6e+8;
double test_bulk = bulk_dist_with_trend[i]->ReSample(0,0);
double test_shear = shear_dist_with_trend[i]->ReSample(0,0);
if(test_bulk < lower_mega || test_bulk > upper_mega)
tmpErrTxt += "Bulk modulus need to be given in kPa\n";
if(test_shear < lower_mega || test_shear > upper_mega)
tmpErrTxt += "Shear modulus need to be given in kPa\n";
}
}
std::vector<double> corr_bulk_shear(n_vintages, 0);
std::vector<double> corr_bulk_density(n_vintages, 0);
std::vector<double> corr_shear_density(n_vintages, 0);
std::vector<double> x;
std::vector<double> x_mean;
std::vector<double> x_variance;
std::vector<double> y;
std::vector<double> y_mean;
std::vector<double> y_variance;
for(int i=0; i<n_vintages_bulk_shear; i++) {
if(correlation_bulk_shear_[i]->GetEstimate() == true) {
if(i == 0) {
if(bulk_given_facies.size() == 0 && shear_given_facies.size() == 0) {
tmpErrTxt += "<correlation-bulk-shear> can not be estimated as all of Vp, Vs and density logs are not given in the wells\n";
} else {
PreprocessDataForSpearmanCorrelation(s1,
s2,
bulk_given_facies,
shear_given_facies,
bulk_dist_with_trend[i],
shear_dist_with_trend[i],
x,
x_mean,
x_variance,
y,
y_mean,
y_variance,
errTxt);
corr_bulk_shear[0] = EstimateSpearmanCorrelation(x, x_mean, x_variance, y, y_mean, y_variance, errTxt);
}
}
else
tmpErrTxt += "<correlation-bulk-shear> can not be estimatedfor time lapse data\n";
}
else
FindDoubleValueFromDistributionWithTrend(correlation_bulk_shear_[i], "correlation", corr_bulk_shear[i], errTxt);
if(corr_bulk_shear[i] > 1 || corr_bulk_shear[i] < -1)
errTxt += "<correlation-bulk-shear> should be in the interval [-1,1] in the tabulated model\n";
}
for(int i=0; i<n_vintages_bulk_density; i++) {
if(correlation_bulk_density_[i]->GetEstimate() == true) {
if(i == 0) {
if(bulk_given_facies.size() == 0 && density_given_facies.size() == 0) {
tmpErrTxt += "<correlation-bulk-density> can not be estimated as all of Vp, Vs and density logs are not given in the wells\n";
} else {
PreprocessDataForSpearmanCorrelation(s1,
s2,
bulk_given_facies,
density_given_facies,
bulk_dist_with_trend[i],
density_dist_with_trend[i],
x,
x_mean,
x_variance,
y,
y_mean,
y_variance,
errTxt);
corr_bulk_density[0] = EstimateSpearmanCorrelation(x, x_mean, x_variance, y, y_mean, y_variance, errTxt);
}
}
else
tmpErrTxt += "<correlation-bulk-density> can not be estimatedfor time lapse data\n";
}
else
FindDoubleValueFromDistributionWithTrend(correlation_bulk_density_[i], "correlation", corr_bulk_density[i], errTxt);
if(corr_bulk_density[i] > 1 || corr_bulk_density[i] < -1)
errTxt += "<correlation-bulk-density> should be in the interval [-1,1] in the tabulated model\n";
}
for(int i=0; i<n_vintages_shear_density; i++) {
if(correlation_shear_density_[i]->GetEstimate() == true) {
if(i == 0) {
if(shear_given_facies.size() == 0 && density_given_facies.size() == 0) {
tmpErrTxt += "<correlation-shear-density> can not be estimated as all of Vp, Vs and density logs are not given in the wells\n";
} else {
PreprocessDataForSpearmanCorrelation(s1,
s2,
shear_given_facies,
density_given_facies,
shear_dist_with_trend[i],
density_dist_with_trend[i],
x,
x_mean,
x_variance,
y,
y_mean,
y_variance,
errTxt);
corr_shear_density[0] = EstimateSpearmanCorrelation(x, x_mean, x_variance, y, y_mean, y_variance, errTxt);
}
}
else
tmpErrTxt += "<correlation-shear-density> can not be estimatedfor time lapse data\n";
}
else
FindDoubleValueFromDistributionWithTrend(correlation_shear_density_[i], "correlation", corr_shear_density[i], errTxt);
if(corr_shear_density[i] > 1 || corr_shear_density[i] < -1)
errTxt += "<correlation-shear-density> should be in the interval [-1,1] in the tabulated model\n";
}
if(tmpErrTxt == "") {
for(int i=0; i<n_vintages; i++) {
if(i >= n_vintages_bulk_shear)
corr_bulk_shear[i] = corr_bulk_shear[i-1];
if(i >= n_vintages_bulk_density)
corr_bulk_density[i] = corr_bulk_density[i-1];
if(i >= n_vintages_shear_density)
corr_shear_density[i] = corr_shear_density[i-1];
}
for(int i=0; i<n_vintages; i++) {
std::string corrErrTxt = "";
CheckPositiveDefiniteCorrMatrix(corr_bulk_shear[i], corr_bulk_density[i], corr_shear_density[i], corrErrTxt);
if(corrErrTxt != "") {
if(n_vintages > 1)
tmpErrTxt += "Vintage "+NRLib::ToString(i+1)+":";
tmpErrTxt += corrErrTxt;
}
}
}
if(tmpErrTxt == "") {
for(int i=0; i<n_vintages; i++) {
DistributionsRock * rock = new DistributionsRockTabulated(bulk_dist_with_trend[i],
shear_dist_with_trend[i],
density_dist_with_trend[i],
corr_bulk_shear[i],
corr_bulk_density[i],
corr_shear_density[i],
DEMTools::Modulus,
alpha,
s_min,
s_max);
dist_rock[i] = rock;
}