AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data
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| Main Author: | |
|---|---|
| Format: | masterThesis |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/144040/1/MS_Thesis_Calderon_Vf_ep.pdf |
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| _version_ | 1864513406296391680 |
|---|---|
| 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/144040/1/MS_Thesis_Calderon_Vf_ep.pdf AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data. 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/144040/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Earth Sciences Physics |
| dc.title.none.fl_str_mv | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data |
| 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_ce2bd7970f63175c0ebb0026bf3adb92 |
| identifier_str_mv | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data. 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::144040 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical dataEarth SciencesPhysicsThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/144040/1/MS_Thesis_Calderon_Vf_ep.pdf AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/144040/2020info:eu-repo/semantics/openAccessunknownoai::1440402026-01-19T11:36:40Z |
| spellingShingle | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data unknown Earth Sciences Physics |
| status_str | publishedVersion |
| title | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data |
| title_full | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data |
| title_fullStr | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data |
| title_full_unstemmed | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data |
| title_short | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data |
| title_sort | AI-Driven Digital Twin for modelling a geothermal reservoir in Saudi Arabia using geophysical data |
| topic | Earth Sciences Physics |
| url | https://eprints.kfupm.edu.sa/id/eprint/144040/1/MS_Thesis_Calderon_Vf_ep.pdf |