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Journal of Chemical and Petroleum Engineering، جلد ۵۰، شماره ۱، صفحات ۴۹-۶۷
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Fractured Reservoirs History Matching based on Proxy Model and Intelligent Optimization Algorithms |
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| چکیده انگلیسی مقاله |
In this paper, a new robust approach based on Least Square Support Vector Machine (LSSVM) as a proxy model is used for an automatic fractured reservoir history matching. The proxy model is made to model the history match objective function (mismatch values) based on the history data of the field. This model is then used to minimize the objective function through Particle Swarm Optimization (PSO) and Imperialist Competitive Algorithm (ICA). This procedure leads to matching of history of the field in which a set of reservoir parameters is used. The final sets of parameters are then applied for the full simulation model to validate the technique. The obtained results showed that due to high speed and need for little data sets, LSSVM is the best tool to build a proxy model. Also the comparison of PSO and ICA showed that PSO is less time-consuming and more effective. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
سید هادی ریاضی | sayyed hadi
department of petroleum engineering, petroleum university of technology put , ahwaz, iran
قاسم زرگر |
department of petroleum engineering, petroleum university of technology put , ahwaz, iran
مهدی baharimoghadam |
department of petroleum engineering, petroleum university of technology put , ahwaz, iran
ابراهیم شریفی دارانی | sharifi darani
department of reservoir evaluation, national iranian south oil company nisoc , ahwaz, iran
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| نشانی اینترنتی |
http://jcpeng.ut.ac.ir/article_57843_4b52ccb0b36031e675b6b1517fd0e67b.pdf |
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| زبان مقاله منتشر شده |
en |
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