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Implement correct ignore thresholds for NNC with/without EDITNNC.

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It seems like eclipse ignores NNCs with small transmissibility.
Small means less than 1e-6 for Eclipse (Even if it says that it
is ignoring values below 1e-5 and/or zero values)!.
This commit now implements the same threshold during IO.

Also fixes a bug when applying EDITNNC, it needs to have cell1<=cell2 to work.
This commit is contained in:
Markus Blatt
2019-04-26 21:14:44 +02:00
committed by Arne Morten Kvarving
parent 7849ce690d
commit d2efdcfaa5
4 changed files with 84 additions and 18 deletions
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50
tests/test_nncsorter.cpp Normal file
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/*
Copyright 2019 Equinor.
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/>.
*/
#define BOOST_TEST_MODULE NNCSortTest
#include <boost/test/unit_test.hpp>
#include <ebos/nncsorter.hpp>
#include <opm/parser/eclipse/EclipseState/Grid/NNC.hpp>
#include <cmath>
BOOST_AUTO_TEST_CASE(Test1) {
std::vector<Opm::NNCdata> nncDataIn =
{ {9, 8, 10.0 }, { 1, 2, 3.0 }, { 3, 4, 2.0 }, { 2, 1, 5.0 } };
std::vector<Opm::NNCdata> editnncData =
{ {20, 5, .001}, { 2, 1, .1}, {3, 4, .001}, {0, 0, 0.0}, {4, 3, 2.0} };
std::vector<Opm::NNCdata> nncDataOut1 =
{ { 1, 2, 0.3 }, { 1, 2, 0.5 }, { 3, 4, 0.004 }, { 8, 9, 10.0 } };
std::vector<Opm::NNCdata> nncDataOut2 =
{ { 1, 2, 0.5 }, { 1, 2, 0.3 }, { 3, 4, 0.4 }, { 8, 9, 10.0 } };
auto nncDataProcessed = Ewoms::sortNncAndApplyEditnnc(nncDataIn, editnncData);
BOOST_CHECK(nncDataProcessed.size() == nncDataOut1.size());
auto expectedNnc1 = nncDataOut1.begin();
auto expectedNnc2 = nncDataOut2.begin();
for(const auto& entry: nncDataProcessed) {
BOOST_CHECK( entry.cell1 == expectedNnc1->cell1);
BOOST_CHECK( entry.cell2 == expectedNnc1->cell2);
BOOST_CHECK( std::abs(entry.trans - expectedNnc1->trans) / std::abs(entry.trans) < 1e-5 ||
std::abs(entry.trans - expectedNnc2->trans) / std::abs(entry.trans) < 1e-5);
++expectedNnc1;
++expectedNnc2;
}
}