Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | masterThesis |
| منشور في: |
2020
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/140949/1/Prediction_of_Lost_Circulation_Zones_Using_Artificial_Intelligence_Techniques.pdf |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513397644591104 |
|---|---|
| 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/140949/1/Prediction_of_Lost_Circulation_Zones_Using_Artificial_Intelligence_Techniques.pdf Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques. 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/140949/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Drilling Engineering |
| dc.title.none.fl_str_mv | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques |
| 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_fca43ab513a5594f8712d873b8f43bc6 |
| identifier_str_mv | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques. 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::140949 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Prediction of Lost Circulation Zones Using Artificial Intelligence TechniquesDrilling EngineeringThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/140949/1/Prediction_of_Lost_Circulation_Zones_Using_Artificial_Intelligence_Techniques.pdf Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/140949/2020info:eu-repo/semantics/openAccessunknownoai::1409492025-04-10T06:30:48Z |
| spellingShingle | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques unknown Drilling Engineering |
| status_str | publishedVersion |
| title | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques |
| title_full | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques |
| title_fullStr | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques |
| title_full_unstemmed | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques |
| title_short | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques |
| title_sort | Prediction of Lost Circulation Zones Using Artificial Intelligence Techniques |
| topic | Drilling Engineering |
| url | https://eprints.kfupm.edu.sa/id/eprint/140949/1/Prediction_of_Lost_Circulation_Zones_Using_Artificial_Intelligence_Techniques.pdf |