A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: unknown (author)
التنسيق: masterThesis
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/143815/1/Compiled_Updated_Final_A_Rahman_KFUPM_Thesis_desertation_compressed.pdf
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author unknown
author_facet unknown
author_role author
dc.creator.*.fl_str_mv unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/143815/1/Compiled_Updated_Final_A_Rahman_KFUPM_Thesis_desertation_compressed.pdf
A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS. PhD thesis, King Fahd University of Petroleum and Minerals.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/143815/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
Earth Sciences
Physics
Reservoir Characterization
Well Logging
Reservoir Modelling and Simulation
dc.title.none.fl_str_mv A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
dc.type.none.fl_str_mv Thesis
NonPeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
eu_rights_str_mv openAccess
format masterThesis
id KFUPM_797aa260cd732a0b59eba91bfaee337e
identifier_str_mv A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS. PhD thesis, King Fahd University of Petroleum and Minerals.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::143815
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKSComputerEarth SciencesPhysicsReservoir CharacterizationWell LoggingReservoir Modelling and SimulationThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/143815/1/Compiled_Updated_Final_A_Rahman_KFUPM_Thesis_desertation_compressed.pdf A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS. PhD thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/143815/2020info:eu-repo/semantics/openAccessunknownoai::1438152025-12-21T12:17:37Z
spellingShingle A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
unknown
Computer
Earth Sciences
Physics
Reservoir Characterization
Well Logging
Reservoir Modelling and Simulation
status_str publishedVersion
title A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
title_full A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
title_fullStr A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
title_full_unstemmed A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
title_short A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
title_sort A NOVEL MULTIDIMENSIONAL RESERVOIR CHARACTERIZATION WITH GENERATIVE ADVERSARIAL NETWORKS
topic Computer
Earth Sciences
Physics
Reservoir Characterization
Well Logging
Reservoir Modelling and Simulation
url https://eprints.kfupm.edu.sa/id/eprint/143815/1/Compiled_Updated_Final_A_Rahman_KFUPM_Thesis_desertation_compressed.pdf