多个气田整体开发优化模型及其求解方法

发布时间：2018-06-24 07:14

本文选题：气田群 + 气田整体开发　；参考：《石油勘探与开发》2016年02期

【摘要】：为在一定投资规模和约束条件下优化气田开发顺序及气田产能规模,实现产品分成合同模式下多个气田整体开发经济效益最大化,结合国内外气田群的开发现状,利用定量关系快速准确描述气田生产动态,并将基于产品分成合同模式的净现值作为目标函数,建立了优化气田投产时间和产能规模的混合整数非线性规划模型。提出求解该模型的自适应分层嵌套遗传算法,对模型求解变量和约束条件进行处理,并对标准遗传算法的遗传结构、遗传算子和终止条件设定3方面进行改进,形成气田群整体高效开发建模和求解技术。将不采用数学模型优化的多方案对比法、罚函数处理约束条件的标准遗传算法,以及自适应分层嵌套遗传算法的优化结果进行对比。结果表明:优化模型建立准确,提出的求解方法在收敛性和计算速度方面表现良好,可实现气田群整体开发的有序接替。
[Abstract]:In order to optimize the development sequence and production capacity of gas fields under certain investment scale and constraint conditions, and to maximize the overall economic benefits of multiple gas fields under the model of product sharing contract, this paper combines the development status of gas field groups at home and abroad. Using quantitative relationship to describe gas field production performance quickly and accurately, and taking net present value (NPV) based on product division contract model as objective function, a mixed integer nonlinear programming model for optimizing production time and productivity scale of gas field is established. An adaptive hierarchical nested genetic algorithm is proposed to solve the model. The genetic structure, genetic operator and termination condition of the standard genetic algorithm are improved. Modeling and solving technique of forming gas field group with high efficiency. The optimization results of multi-scheme comparison method without mathematical model optimization, standard genetic algorithm with penalty function to deal with constraint conditions and adaptive hierarchical nested genetic algorithm are compared. The results show that the optimization model is accurate and the proposed solution has good convergence and calculation speed. It can be used to realize the orderly succession of the whole development of gas field group.
【作者单位】：西南石油大学国家重点实验室;大庆头台油田开发有限公司;中石油煤层气有限责任公司忻州分公司;中国石油(土库曼斯坦)阿姆河天然气公司;中国石油勘探开发研究院亚太研究所;
【基金】：中国石油天然气集团公司重大专项(2011E-2505)
【分类号】：TE37

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