A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | masterThesis |
| منشور في: |
2009
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/136030/1/Thesis_Writeup.pdf |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513403275444224 |
|---|---|
| author | Anifowose, Fatai Adesina |
| author2 | unknown |
| author2_role | author |
| author_facet | Anifowose, Fatai Adesina unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Anifowose, Fatai Adesina unknown |
| dc.date.none.fl_str_mv | 2009-03-16 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/136030/1/Thesis_Writeup.pdf (2009) A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs. Masters 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/136030/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information Technology Petroleum Computer Earth Sciences Reservoir Characterization Reservoir Modelling and Simulation Enhanced Oil Recovery |
| dc.title.none.fl_str_mv | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs |
| 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_fe19ca9d2feb5db55160a1fc81805d7d |
| identifier_str_mv | (2009) A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs. Masters 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::136030 |
| publishDate | 2009 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas ReservoirsAnifowose, Fatai AdesinaunknownInformation TechnologyPetroleumComputerEarth SciencesReservoir CharacterizationReservoir Modelling and SimulationEnhanced Oil Recovery2009-03-162020ThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/136030/1/Thesis_Writeup.pdf (2009) A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/136030/info:eu-repo/semantics/openAccessoai::1360302020-12-31T08:44:59Z |
| spellingShingle | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs Anifowose, Fatai Adesina Information Technology Petroleum Computer Earth Sciences Reservoir Characterization Reservoir Modelling and Simulation Enhanced Oil Recovery |
| status_str | publishedVersion |
| title | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs |
| title_full | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs |
| title_fullStr | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs |
| title_full_unstemmed | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs |
| title_short | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs |
| title_sort | A Novel Hybrid Computational Intelligence Model for the Characterization of Oil and Gas Reservoirs |
| topic | Information Technology Petroleum Computer Earth Sciences Reservoir Characterization Reservoir Modelling and Simulation Enhanced Oil Recovery |
| url | https://eprints.kfupm.edu.sa/id/eprint/136030/1/Thesis_Writeup.pdf |