摘要
煤层可压性直接影响着煤层气井的产量和企业的生产成本。为科学地对煤层可压性进行评价,以煤层地质参数为切入点,利用动态权函数综合评价煤层可压性。首先,针对煤层地质参数进行初选,利用数理统计的方法优选出主控影响参数;其次,通过分析主观赋权法和客观赋权法,对比其优势与不足,引入动态加权函数对煤层可压性参数进行赋值;再次,利用动态权函数的加权冒泡排序法对影响参数进行综合评价,拟合得到动态加权和与生产能力之间的关系;最后,对X区块的26口井进行了评价,利用综合评价结果与实际生产能力进行了对比,可压性评价结果正确率达到88.64%,验证了综合评价模型的准确性。
The coalbed fracability directly affects the output of coalbed methane gas wells and the production cost of enterprises.In order to scientifically evaluate the fracability of coalbed,we take the coalbed geological parameters as the breakthrough point and use dynamic weight function to comprehensively evaluate the coalbed fracability.Firstly,according to the primary selection of coalbed geological parameters,the main influencing parameters are optimized by mathematical statistics.Secondly,by analyzing the subjective weighting method and the obj ective weighting method,we compare their advantages and disadvantages,and introduce the dynamic weighting function to evaluate the parameters of coalbed fracability.Thirdly,the weighting bubble sorting method of dynamic weight function is used to comprehensively evaluate the influence parameters,and the relationship between the dynamic weight and the production capacity is obtained according to the fitting.Finally,26 wells in Block X are evaluated and compared with the actual productivity,the correct rate of fracability evaluation is 88.64%.The accuracy of the comprehensive evaluation model is verified.
作者
郭大立
张书玲
王璇
甄怀宾
王成旺
GUO Dali;ZHANG Shuling;WANG Xuan;ZHEN Huaibin;WANG Chengwang(School of Sciences,Southwest Petroleum University,Chengdu,Sichuan 610500,China;Coalbed Methane Company Limited,PetroChina,Chaoyang,Beijing 100028,China;National Engineering Research Center of Coalbed Methane Development&Utilization,Haidian,Beijing 100095,China)
出处
《西南石油大学学报(自然科学版)》
CAS
CSCD
北大核心
2022年第2期97-104,共8页
Journal of Southwest Petroleum University(Science & Technology Edition)
基金
国家科技重大专项(2016ZX05065,2016ZX05042-003)。
关键词
煤层可压性
可压性参数
动态权函数
加权冒泡排序
综合评价
coalbed fracability
fracability parameters
dynamic weight function
weighted bubble sorting
comprehensive evaluation