Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm
This paper examines the characterization of six oil wells and the allocation of gas considering limited and unlimited case scenario. Artificial gas lift involves injecting high-pressured gas from the surface into the producing fluid column through one or more subsurface valves set at predetermined d...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2014/289239 |
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| _version_ | 1849682982539886592 |
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| author | Chukwuka G. Monyei Aderemi O. Adewumi Michael O. Obolo |
| author_facet | Chukwuka G. Monyei Aderemi O. Adewumi Michael O. Obolo |
| author_sort | Chukwuka G. Monyei |
| collection | DOAJ |
| description | This paper examines the characterization of six oil wells and the allocation of gas considering limited and unlimited case scenario. Artificial gas lift involves injecting high-pressured gas from the surface into the producing fluid column through one or more subsurface valves set at predetermined depths. This improves recovery by reducing the bottom-hole pressure at which wells become uneconomical and are thus abandoned. This paper presents a successive application of modified artificial neural network (MANN) combined with a mild intrusive genetic algorithm (MIGA) to the oil well characteristics with promising results. This method helps to prevent the overallocation of gas to wells for recovery purposes while also maximizing oil production by ensuring that computed allocation configuration ensures maximum economic accrual. Results obtained show marked improvements in the allocation especially in terms of economic returns. |
| format | Article |
| id | doaj-art-d1e07df3b40b43439506f5cd9d37fbf0 |
| institution | DOAJ |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-d1e07df3b40b43439506f5cd9d37fbf02025-08-20T03:24:02ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/289239289239Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic AlgorithmChukwuka G. Monyei0Aderemi O. Adewumi1Michael O. Obolo2Department of Electrical and Electronic Engineering, University of Ibadan, NigeriaSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South AfricaDepartment of Petroleum Engineering, University of Ibadan, NigeriaThis paper examines the characterization of six oil wells and the allocation of gas considering limited and unlimited case scenario. Artificial gas lift involves injecting high-pressured gas from the surface into the producing fluid column through one or more subsurface valves set at predetermined depths. This improves recovery by reducing the bottom-hole pressure at which wells become uneconomical and are thus abandoned. This paper presents a successive application of modified artificial neural network (MANN) combined with a mild intrusive genetic algorithm (MIGA) to the oil well characteristics with promising results. This method helps to prevent the overallocation of gas to wells for recovery purposes while also maximizing oil production by ensuring that computed allocation configuration ensures maximum economic accrual. Results obtained show marked improvements in the allocation especially in terms of economic returns.http://dx.doi.org/10.1155/2014/289239 |
| spellingShingle | Chukwuka G. Monyei Aderemi O. Adewumi Michael O. Obolo Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm Discrete Dynamics in Nature and Society |
| title | Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm |
| title_full | Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm |
| title_fullStr | Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm |
| title_full_unstemmed | Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm |
| title_short | Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm |
| title_sort | oil well characterization and artificial gas lift optimization using neural networks combined with genetic algorithm |
| url | http://dx.doi.org/10.1155/2014/289239 |
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