| 000 | 01944cam a2200337 a 4500 | ||
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| 003 | EG-GiCUC | ||
| 005 | 20250223032527.0 | ||
| 008 | 200223s2020 ua dh f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.13.12.Ph.D.2020.Mo.D | ||
| 100 | 0 | _aMohamed Shams Ramadan Mahmoud Shams | |
| 245 | 1 | 0 |
_aDevelopment and application of an efficient assisted history matching approach using novel algorithms / _cMohamed Shams Ramadan Mahmoud Shams ; Supervised Mohamed Helmy Sayyouh , Ahmed Hamdi Elbanbi |
| 246 | 1 | 5 | _aإستنباط وتطبيق طريقة فعالة لتدعيم مضاهاة سلوك المكامن باستخدام خوارزميات جديدة |
| 260 |
_aCairo : _bMohamed Shams Ramadan Mahmoud Shams , _c2020 |
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| 300 |
_a151 P. : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering | ||
| 520 | _a This thesis proposes a novel approach of reservoir engineering assisted historymatching. Efficient algorithms are introduced for the first time in reservoir engineering. Sobol sequence and Kriging are used as the experimental design and proxy modeling techniques respectively. Firefly, bee colony, and harmony search optimization algorithms are used as the optimization techniques. The performance of the proposed approach is compared with the most widely used approaches.The results indicate that the proposed approach shows significant superiority | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aAssisted History Matching | |
| 653 | 4 | _aExperimental Design | |
| 653 | 4 | _aReservoir Engineering | |
| 700 | 0 |
_aAhmed Hamdi Elbanbi , _eSupervisor |
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| 700 | 0 |
_aMohamed Helmy Sayyouh , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aShimaa _eCataloger |
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| 942 |
_2ddc _cTH |
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_c76750 _d76750 |
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