摘要
通过对影响页岩气单井产量的诸多参数如基质渗透率、人工裂缝参数、天然裂缝参数、吸附气量等的模拟,发现页岩气单井产量与基质渗透率、人工裂缝长度、人工裂缝条数、天然裂缝导流能力、天然裂缝连通性及吸附气量均呈正比,与天然裂缝间距成反比;通过正交试验方法对各因素进行了主次排序,对产能的影响程度从强到弱依次为基质渗透率、人工裂缝长度、天然裂缝间距和吸附气量,并通过层次分析法对这一排序进行了验证;通过人量的数值模拟计算进行了图版绘制,并用BP人工神经网络的方法对各因素对改造体积的影响关系进行训练,从而快速确定任意条件卜的改造体积形状和大小。
Through simulating the parameter like matrix permeability, artificial fracture parameters, natural fracture pa- rameters and adsorbed gas volume which effecting individual well production of shale gas, The results show that the individ- ual well production is in proportional to matrix permeability, artificial fracture length, artificial fracture number, natural fracture conductivity, natural fracture connection and adsorbed gas volume, and is inversely proportional to natural fracture interval. The factors influencing the production is sorted through orthogonal test method and verified by analytic hierarchy process, which are, in order, matrix permeability, artificial fracture parameters, natural fracture parameters and adsorbed gas volume according to the degree of impact on capacity from strong to weak,. With large amounts of simulations, the cal- culated plate for quick parameter determination is created. Through practicing the effects of different factors on the shape and size of the stimulated reservoir volume using BP artificial neutral network method, the quick parameter determination for any condition can be achieved.
出处
《非常规油气》
2014年第2期55-66,共12页
Unconventional Oil & Gas
基金
中国科学院战略性先导科技专项(B类)(XDB03010000)联合资助
关键词
基质渗透率
人工裂缝
天然裂缝
敏感因素
改造体积
Matrix permeability, artificial fracture, natural fractures, sensitive factor, reconstruction volume
