Prediction of Reservoir Rock Permeability Using Artificial Intelligence in Carbonate Reservoir Utilizing Drilling Data / (Record no. 171612)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03612namaa22004091i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20250508121548.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250419s2024 ua a|||fr|m|| 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloguing agency | EG-GICUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GICUC |
| Modifying agency | EG-GICUC |
| Description conventions | rda |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| Language code of summary or abstract | eng |
| -- | ara |
| 049 ## - Acquisition Source | |
| Acquisition Source | Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 622.3382 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 622.3382 |
| Edition number | 21 |
| 097 ## - Degree | |
| Degree | M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.13.12.M.Sc.2024.Sa.P. |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Said Hassan Hassaan Hassan, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Prediction of Reservoir Rock Permeability Using Artificial Intelligence in Carbonate Reservoir Utilizing Drilling Data / |
| Statement of responsibility, etc. | By Said Hassan Hassaan Hassan; Under the Supervision of Prof. Dr. Abdel Sattar Abdel-Hamid Dahab |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | توقع النفاذية لصخور الخزان باستخدام الذكاء الاصطناعي في خزان الكربونات بإستخدام بيانات الحفر / |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 92 pages : |
| Other physical details | illustrations ; |
| Dimensions | 30 cm. + |
| Accompanying material | CD. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rda content |
| 337 ## - MEDIA TYPE | |
| Media type term | Unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Sc.)-Cairo University, 2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 66-76. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This study aims to predict rock permeability using readily available drilling parameters <br/>without incurring additional costs. The study used three machine learning models, <br/>namely random forest (RF), decision trees (DT), and support vector machines (SVM), <br/>to predict porosity and permeability. The dataset used was obtained from two vertical <br/>wells located in the Middle East. The RF model exhibited accurate predictions of <br/>permeability, achieving R values surpassing 0.92 in the various datasets. The DT <br/>model displayed slightly lower performance, with the R-value decreasing to 0.88 in <br/>the testing dataset, the SVM model suffered from overfitting, with decreasing R values <br/>to 0.83 in the testing dataset. The study highlights the efficiency of data-driven <br/>machine learning models in real-time prediction of porosity and permeability using <br/>drilling parameters, which can enable timely and cost-effective estimation of reservoir <br/>properties while drilling |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | الهدف من هذه الدراسة هو توقع المسامية والنفاذية الصخرية باستخدام بيانات الحفر ونماذج التعلم الآلي. تم استخدام ثلاثة نماذج للتعلم الآلي (DT, RF, SVM) للتنبؤ بالمسامية والنفاذية من بيانات الحفر المتاحة بسهولة. أظهرت النماذج الثلاثة أداءً مشجعاً في توقع المسامية، وأظهر نموذج RF توقعات دقيقة للنفاذية بينما عانى نموذج SVM من التجهيز الزائد. تكمن اهمية هذه الدراسة في التقدير الفوري والفعال من حيث التكلفة لخصائص الخزان، وتحسين عمليات اتخاذ القرار المتعلقة بإدارة الخزان. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issued also as CD |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Petroleum Engineering |
| Source of heading or term | qrmak |
| 653 #0 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Permeability |
| -- | Porosity |
| -- | Artificial Intelligence |
| -- | Carbonate Reservoir |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Abdel Sattar Abdel-Hamid Dahab |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2024 |
| Supervisory body | Abdel Sattar Abdel-Hamid Dahab |
| Discussion body | Gharib Moustafa Hamada |
| -- | Mohammed Alaa-Eldin Abdel Baki |
| Universities | Cairo University |
| Faculties | Faculty of Engineering |
| Department | Department of Petroleum Engineering |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Nourhan |
| Reviser Names | Eman Ghareb |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 19.04.2025 | 90992 | Cai01.13.12.M.Sc.2024.Sa.P. | 01010110090992000 | 19.04.2025 | 19.04.2025 | Thesis |