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机构地区:[1]西南石油大学研究生院 [2]中国石化西南分公司物资中心
出 处:《天然气工业》2006年第1期149-152,共4页Natural Gas Industry
基 金:四川省自然科学基金"气井及气藏计算机仿真及优化配产软件系统"项目资助(编号:2004A150)。
摘 要:文章主要研究并解决天然气开发规划中气区各分项产量对气田总产量的最优构成问题。从研究天然气开发规划的产量构成入手,以产量、成本、措施工作量等历史数据为基础,运用自适应遗传算法优化神经网络的连接权值的方法,建立天然气产量等开发指标与其多影响因素之间的关联关系,再在这些关联关系及成本、投资、用户需求等约束条件下,分别建立了产量最大、成本最低、效益最好的单目标优化模型,并运用自适应遗传算法来研究优化模型的求解。应用实例结果符合生产实际。It is mainly studied and solved how to get the optical configuration of the gross production of the gas field consisting of the subentry productions in the gas-developing program. According to the production configuration in the gas-developing program, based on the historical data of production, cost and stimulation etc., with the method of AGA to optimize the link values of ANN, the correlative relations between the development indexes such as gas production etc. and the multiple affecting factors are established. Then, under the constraining conditions of the correlative relations, cost, investment, and users' requirements etc., the single-objective optimization models are set up respectively for the maximum production, the minimum cost and the best benefit. With the algorithm of AGA, the solutions of the optimization models are studied. The results of practical application of the method fit the real cases.
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