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压裂方案经济优化的智能专家系统研究
引用本文:蒋廷学,汪永利,丁云宏,孙平,许泽君.压裂方案经济优化的智能专家系统研究[J].石油学报,2004,25(1):66-69.
作者姓名:蒋廷学  汪永利  丁云宏  孙平  许泽君
作者单位:1. 中国石油勘探开发研究院廊坊分院, 河北廊坊, 065007;2. 中国地质大学, 北京, 100083;3. 中国石油华北油田分公司勘探部, 河北任丘, 062552;4. 成都理工大学, 四川成都, 610000
基金项目:中国石油天然气集团公司科学研究与技术开发项目 (0 1 0 50 3 1 j)“低渗未动用储量有效开发核心技术的研究与应用”的部分成果
摘    要:初步研究并建立了压裂方案经济优化的智能专家系统,其核心是遗传算法在压裂方案经济优选中的应用.该算法的突出特点是采用随机生成的方法,先形成几十个甚至几百个待选压裂方案(每个压裂方案包含的各种设计参数各不相同),然后,综合应用杂交和变异两种方法对诸压裂方案包括的诸多设计参数进行系统优化,经过多代遗传和变异后,最终可形成按经济净现值大小排序的压裂方案系列,从中可优选出最佳方案.此外,在智能专家系统中考虑到油价和利率在特定范围内的随机波动,因而是一个符合实际的理想模型.经现场压裂施工验证,取得了比常规压裂优化方法更为满意的效果.

关 键 词:专家系统  遗传算法  压裂方案  经济优化  杂交  变异  
文章编号:0253-2697(2004)01-0066-04
收稿时间:2002-12-18
修稿时间:2002年12月18

Expert system for economic optimization of hydraulic fracturing design
JIANG Ting-xue WANG Yong-li , DING Yun-hong , SUN Ping , XU Ze-jun.Expert system for economic optimization of hydraulic fracturing design[J].Acta Petrolei Sinica,2004,25(1):66-69.
Authors:JIANG Ting-xue WANG Yong-li  DING Yun-hong  SUN Ping  XU Ze-jun
Affiliation:1. Langfang Branch Research Institute of Petroleum Exploration and Development, Langfang 065007, China;2. China University of Geosciences, Beijing 100083, China;3. Huabei Oilfield Compary, PetroChina, Renqiu 062552, China;4. Chengdu Physical and Industrial University, Chengdu 610000, China
Abstract:An expert system for economic optimization of hydraulic fracturing design was established preliminarily.The key point of the expert system is the utilization of genetic algorithm in the economic optimization of fracturing design.With the genetic algorithm,the optimized design of fracturing plan can be selected from more than one hundred candidates generated by random function.Then,the reproducing and mutating processes were performed on the data of above candidates.Finally,the optimized parameters for hydraulic fracturing design plan can be obtained.Furthermore,the fluctuation range of oil price and interest rate may also be taken into account.Therefore,the new model put forward in the paper is a comprehensive and applicable.A field case verified that the optimized design of fracturing plan determined using the expert system has a higher post-fracturing rate than that using ordinary fracturing design method.
Keywords:expert system  genetic algorithm  hydraulic fracturing plan  economic optimization  reproduction  mutation
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