REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Interdisciplinar de Pesquisa em Engenharia |
Texto Completo: | https://periodicos.unb.br/index.php/ripe/article/view/21703 |
Resumo: | Results obtained by numerical simulations techniques are used in the whole productive life of the reservoir, since exploration until enhanced oil recovery. Numerical simulations involves many cells and heterogeneities and are still limited by the computational time and memory. Reducing Order Methods are a solution to these problems. These methods allow the transformation of high-dimensional models into meaningful representations. It reduces the dimension of the matrices used during the simulations, and consequently, the time and effort. One of the methods used to get a reduced model is the Proper Orthogonal Decomposition (POD). In this work, the mathematical model and equations of a considered reservoir are first presented, and in sequence the discrete system obtained by Finite Difference and Finite Volumes methods. Then, the POD procedure will be described and applied to the problem considered. Finally, the size of new matrices and pressures will be evaluated before and after the reduction, as well as the error involved. The results obtained after the reduction agreed with the physical of the problem and, as expected, the number of unknowns reduced significantly. |
id |
UNB-19_f32c59ecb1a8b62bfb8009d542b3e3ad |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/21703 |
network_acronym_str |
UNB-19 |
network_name_str |
Revista Interdisciplinar de Pesquisa em Engenharia |
repository_id_str |
|
spelling |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATIONReservoir Simulation. Reduced Order Methods. Proper Orthogonal Decomposition.Results obtained by numerical simulations techniques are used in the whole productive life of the reservoir, since exploration until enhanced oil recovery. Numerical simulations involves many cells and heterogeneities and are still limited by the computational time and memory. Reducing Order Methods are a solution to these problems. These methods allow the transformation of high-dimensional models into meaningful representations. It reduces the dimension of the matrices used during the simulations, and consequently, the time and effort. One of the methods used to get a reduced model is the Proper Orthogonal Decomposition (POD). In this work, the mathematical model and equations of a considered reservoir are first presented, and in sequence the discrete system obtained by Finite Difference and Finite Volumes methods. Then, the POD procedure will be described and applied to the problem considered. Finally, the size of new matrices and pressures will be evaluated before and after the reduction, as well as the error involved. The results obtained after the reduction agreed with the physical of the problem and, as expected, the number of unknowns reduced significantly.Programa de Pós-Graduação em Integridade de Materiais da Engenharia2017-02-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.unb.br/index.php/ripe/article/view/2170310.26512/ripe.v2i21.21703Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 2 No. 21 (2016): ADVANCED GRIDDING AND DISCRETIZATION TECHNIQUES FOR PETROLEUM RESERVOIR; 145-156Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 21 (2016): ADVANCED GRIDDING AND DISCRETIZATION TECHNIQUES FOR PETROLEUM RESERVOIR; 145-1562447-6102reponame:Revista Interdisciplinar de Pesquisa em Engenhariainstname:Universidade de Brasília (UnB)instacron:UNBenghttps://periodicos.unb.br/index.php/ripe/article/view/21703/20015Copyright (c) 2019 Revista Interdisciplinar de Pesquisa em Engenharia - RIPEinfo:eu-repo/semantics/openAccessSteffens, Lindaura MariaLanznaster, Dara Liandra2019-05-22T14:41:57Zoai:ojs.pkp.sfu.ca:article/21703Revistahttps://periodicos.unb.br/index.php/ripePUBhttps://periodicos.unb.br/index.php/ripe/oaianflor@unb.br2447-61022447-6102opendoar:2019-05-22T14:41:57Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB)false |
dc.title.none.fl_str_mv |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION |
title |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION |
spellingShingle |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION Steffens, Lindaura Maria Reservoir Simulation. Reduced Order Methods. Proper Orthogonal Decomposition. |
title_short |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION |
title_full |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION |
title_fullStr |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION |
title_full_unstemmed |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION |
title_sort |
REDUCING ORDER METHODS APPLIED TO RESERVOIR SIMULATION |
author |
Steffens, Lindaura Maria |
author_facet |
Steffens, Lindaura Maria Lanznaster, Dara Liandra |
author_role |
author |
author2 |
Lanznaster, Dara Liandra |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Steffens, Lindaura Maria Lanznaster, Dara Liandra |
dc.subject.por.fl_str_mv |
Reservoir Simulation. Reduced Order Methods. Proper Orthogonal Decomposition. |
topic |
Reservoir Simulation. Reduced Order Methods. Proper Orthogonal Decomposition. |
description |
Results obtained by numerical simulations techniques are used in the whole productive life of the reservoir, since exploration until enhanced oil recovery. Numerical simulations involves many cells and heterogeneities and are still limited by the computational time and memory. Reducing Order Methods are a solution to these problems. These methods allow the transformation of high-dimensional models into meaningful representations. It reduces the dimension of the matrices used during the simulations, and consequently, the time and effort. One of the methods used to get a reduced model is the Proper Orthogonal Decomposition (POD). In this work, the mathematical model and equations of a considered reservoir are first presented, and in sequence the discrete system obtained by Finite Difference and Finite Volumes methods. Then, the POD procedure will be described and applied to the problem considered. Finally, the size of new matrices and pressures will be evaluated before and after the reduction, as well as the error involved. The results obtained after the reduction agreed with the physical of the problem and, as expected, the number of unknowns reduced significantly. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.unb.br/index.php/ripe/article/view/21703 10.26512/ripe.v2i21.21703 |
url |
https://periodicos.unb.br/index.php/ripe/article/view/21703 |
identifier_str_mv |
10.26512/ripe.v2i21.21703 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.unb.br/index.php/ripe/article/view/21703/20015 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Revista Interdisciplinar de Pesquisa em Engenharia - RIPE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Revista Interdisciplinar de Pesquisa em Engenharia - RIPE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Programa de Pós-Graduação em Integridade de Materiais da Engenharia |
publisher.none.fl_str_mv |
Programa de Pós-Graduação em Integridade de Materiais da Engenharia |
dc.source.none.fl_str_mv |
Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 2 No. 21 (2016): ADVANCED GRIDDING AND DISCRETIZATION TECHNIQUES FOR PETROLEUM RESERVOIR; 145-156 Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 21 (2016): ADVANCED GRIDDING AND DISCRETIZATION TECHNIQUES FOR PETROLEUM RESERVOIR; 145-156 2447-6102 reponame:Revista Interdisciplinar de Pesquisa em Engenharia instname:Universidade de Brasília (UnB) instacron:UNB |
instname_str |
Universidade de Brasília (UnB) |
instacron_str |
UNB |
institution |
UNB |
reponame_str |
Revista Interdisciplinar de Pesquisa em Engenharia |
collection |
Revista Interdisciplinar de Pesquisa em Engenharia |
repository.name.fl_str_mv |
Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB) |
repository.mail.fl_str_mv |
anflor@unb.br |
_version_ |
1798315226645397504 |