用遗传优化方法求解不确定条件下的物料平衡方程

IF 1.7 0 ENGINEERING, PETROLEUM SOCAR Proceedings Pub Date : 2022-12-30 DOI:10.5510/ogp20220400784
V. Grishchenko, M. Kharisov, R. Rabaev, V. Mukhametshin, K. T. Tyncherov
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引用次数: 0

摘要

证明了在小油藏信息有限的条件下,物质平衡方程的求解必须采用遗传优化方法。利用本文提出的算法进行管理决策,在石油储量较小的情况下,降低钻井和石油产量的风险,降低生产成本,从而可以加快难以开采的储量的开发速度和开发程度。关键词:油田开发;石油储备;钻井;物料平衡法;遗传算法。
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Solving the material balance equation in a context of uncertainty by the genetic optimization method
The article proves that the solution of the material balance equation in conditions of a limited amount of information about small oil deposits must be carried out using the genetic optimization method. The use of the proposed algorithm management decisions risks reducing the in drilling and oil production in conditions of insignificant oil reserves allows to reduce the cost of production, which makes it possible to increase the pace of hard-to-recover reserves bringing into development and the degree of their development. Keywords: oil field development; oil reserves; well drilling; material balance method; genetic algorithm.
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来源期刊
SOCAR Proceedings
SOCAR Proceedings ENGINEERING, PETROLEUM-
CiteScore
3.00
自引率
82.40%
发文量
0
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