Nonlinear constrained production optimization based on augmented Lagrangian function and stochastic gradient
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- 作者：Kai Zhanga ; Xiaoming Zhanga ; Wei Nib ; Liming Zhanga ; Jun Yaoa ; reservoirs@163.com" class="auth_mail" title="E-mail the corresponding author ; Lixin Lia ; Xia Yanc
- 关键词：Nonlinear constraints ; Reservoir modeling ; Production optimization ; Augmented Lagrange function ; Stochastic gradient
- 刊名：Journal of Petroleum Science and Engineering
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：146
- 期：Complete
- 页码：418-431
- 全文大小：4822 K
文摘
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The method is based on an augmented Lagrangian function.
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SGFD algorithm is applied for optimizing nonlinear constrained production.
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SGFD shows a better convergence compared to GPSA algorithm.
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A real reservoir case proves the availability of the method.