用模糊信息熵物元评价法优选气田开发方案  

GAS FIELD DEVELOPMENT PROGRAM OPTIMIZING BY URSTOFF EVALUATION OF FUZZY DATA ENTROPY

作　　者：雍岐东[1] 倪宏伟 肖芳淳[3] 雍岐卫[1] 

机构地区：[1]中国人民解放军后勤工程学院 [2]重庆市燃气有限公司 [3]西南石油学院

出　　处：《天然气工业》2003年第2期85-87,共3页Natural Gas Industry

摘　　要：结合模糊、物元、信息熵概念 ,给出了模糊物元和模糊信息熵模型 ,并在此基础上提出了模糊信息熵物元评价模型。采用模糊信息熵物元评价方案的基本思路是首先依据从优隶属度准则 ,将多方案多指标值转化为隶属度 ;然后 ,构造模糊信息熵物元 ,并计算出相应的信息熵值 ;最后 ,根据模糊信息熵最大化原则 ,优选出最佳方案。同时 ,结合气田开发实际和模糊信息熵物元评价基本思路 ,还建立了 8个方案 7个指标的复合灰元信息熵物元模型 ,并计算出了相应的信息熵 ,优选出了最佳开采方案。结果表明该方法与其它评价方法所得结论一致 ,并与实际相符 ,从而验证了该方法的有效性。此外 。Integrating the concepts of fuzzy algorithm,Urstoff and data entropy the models of fuzzy urstoff and fuzzy data entropy are established.Based on the models the urstoff evaluation model of fuzzy data entropy is developed.The basic procedure to apply the urstoff evaluation program of fuzzy data entropy is:first according to priority by subordinate level,the indexes of many programs are converted into the subordinate levels,then the fuzzy data entropy urstoffs are established and the relative data entropy values are calculated.At last,according to fuzzy data entropy maximum,the optimized program is determined.At the same time,considering the real situations of gas field development and the urstoff evaluation procedure of fuzzy data entropy the urstoff model of integrative gray data with 7 indexes of 8 programs is set up the relative data entropy is calculated and the optimal exploration program is determined.The results from the method coincide with the results from other evaluation methods,and accord with the real situation.So,it is verified that the method is effective.Besides,the urstoff evaluation methods of fuzzy data entropy can also be used for ranking and classifying of other engineering.

关 键 词：模糊信息熵 物元评价法 优选 气田开发方案 模糊数学 

分 类 号：TE323[石油与天然气工程—油气田开发工程]