摘要
为了更加准确地预测煤层气井产能,采用多层次模糊数学法建立包含3个二级评价参数(资源条件、储层条件及改造工艺)、10个三级评价参数在内的综合评价模型。利用该模型,结合收集到的国内15个煤层气目标区块的储层参数与改造工艺资料,对各区块煤层气井产能进行综合评价。最后利用各区块的实际产量对评价结果进行验证分析并拟合,最终得到了评价结果与产量的对应关系。研究结果表明:大部分区块单井平均日产气量不超过600 m^(3)/d,且评分相对集中在0.64以下,这主要是由于较差的储层条件和不合理的改造工艺所致;单井平均日产气量与综合评价结果相关性良好,二者呈幂函数关系;根据评价结果可知,当综合评分超过0.6606时,预计平均单井日产气量将超过1000 m^(3)。研究认为,煤层气开发一方面要加强储层评价,优选有利区;另一方面要优选相适应的储层改造措施,以达到煤层气开发产能最大化。
To accurately predict the productivity of CBM wells,a multi-level fuzzy mathematics method was used to establish a comprehensive evaluation model including 3 secondary evaluation parameters(i.e.resource conditions,development conditions,and transformation processes)and 10 tertiary evaluation parameters.Combined with the data of reservoir parameters and stimulation technologies of 15 coalbed methane target blocks in China,the comprehensive evaluation work was carried out using the model.Finally,the actual production of each block was collected to verify the evaluation results,and the corresponding relationship between the evaluation results and the production was obtained.The results show that,the average daily production per well in most blocks does not exceed 600 m^(3)/d,and the evaluation score is relatively concentrated below 0.64,which is mainly due to the poor development conditions and unreasonable reservoir stimulation.The production per well has a good correlation with the comprehensive evaluation results,and the relationship between them is power function.According to the evaluation results,when the comprehensive score exceeds 0.6606,the average daily production per well is expected to exceed 1000 m^(3).The research results shows that,on the one hand,it is necessary to strengthen reservoir evaluation and optimize favorable areas;on the other hand,optimizing suitable reservoir stimulation measures,to maximize the production capacity of coalbed methane development.
作者
冯玉龙
周林元
王乾
刘程瑞
FENG Yulong;ZHOU Linyuan;WANG Qian;LIU Chengrui(School of Energy Science and Engineering,Henan Polytechnic University,Jiaozuo 454003,China;College of Energy Engineering,Xinjiang Institute of Engineering,Urumqi 830023,China)
出处
《煤田地质与勘探》
CAS
CSCD
北大核心
2021年第2期125-132,共8页
Coal Geology & Exploration
基金
国家自然科学基金项目(41872176)
山西省科技攻关计划项目(20191102001)。
