An analysis of stochastic discrete fracture networks on shale gas recovery
An analysis of stochastic discrete fracture networks on shale gas recovery
复制标题
页岩气采收随机离散裂缝网络分析
DOI：
10.1016/j.petrol.2018.04.007
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发表时间：
2018-08
影响因子：
--
通讯作者：
Chen Zhangxin
中科院分区：
文献类型：
--
作者：
Li Linkai;Jiang Hanqiao;Li Junjian;Wu Keliu;Meng Fanle;Xu Qilu;Chen Zhangxin
在页岩气藏中，水力压裂会产生复杂的裂缝网络。裂缝网络的几何性质对油井动态有很大影响。很难估计井的动态，因为大量的参数用于表征裂缝网络。在这项研究中，只有两个参数筛选估计页岩气采收率的实验设计的方法。基于随机理论生成综合裂缝网络，以表征水力裂缝网络中的次生裂缝。设计了两个数值实验，将裂缝网络特性与商业软件估计的天然气采收率相关联。通过对裂缝相交、分形和渗流分析，筛选出各种裂缝网络参数，并与天然气采收率进行关联。根据裂缝网络的内部结构，提出了一个无量纲的参数，称为有效裂缝密度来估计页岩气采收率。它是裂缝数量、裂缝长度和方向的组合。在裂缝网络的边界上，页岩气采收率取决于原生裂缝与次生裂缝的相交点（NIPS）数量。利用NIPS和无因次裂缝密度这两个参数预测页岩气采收率，与商业软件计算结果比较，结果较为准确，为通过剔除裂缝网络参数来估算页岩气采收率提供了一种实用的方法。
Complex fracture networks are created by hydraulic fracturing in shale gas reservoirs. The well performance is largely affected by the geometrical properties of fracture networks. It is difficult to estimate well performance because a large number of parameters are used for characterization of a fracture network. In this study, only two parameters are screened to estimate the shale gas recovery by the method of design of experiments. Synthetic fracture networks are generated based on the stochastic theory to represent the secondary fractures in the hydraulic fracture network. Two numerical experiments are designed to correlate the fracture network properties to gas recovery estimated by a commercial software. Various fracture network parameters derived from the analyses of fracture intersection, fractal and percolation are screened to correlate the gas recovery. In terms of the internal structure of a fracture network, a dimensionless parameter called the effective fracture density is proposed to estimate shale gas recovery. It is a combination of the number of fractures, fracture length and orientation. In terms of the boundary of a fracture network, the shale gas recovery is determined by the number of intersection points between the primary fractures and secondary fractures (NIPS). The shale gas recovery predicted by the two parameters (the NIPS and the dimensionless fracture density) is accurate compared with that calculated by the commercial software, which provides us a practical method to estimate the gas recovery by eliminating the number of parameters used for fracture network properties.
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影响因子：
2.3
作者：
C. C. Barton-C.;E. Larsen
通讯作者：
C. C. Barton-C.;E. Larsen
影响因子：
4.2
作者：
Wu Keliu;Li Xiangfang;Wang Chenchen;Yu Wei;Chen Zhangxin
通讯作者：
Chen Zhangxin
DOI：
10.15530/urtec-2015-2172464
发表时间：
2015-08
期刊：
--
影响因子：
--
作者：
J. Baihly;R. Malpani;R. Altman;G. Lindsay;R. Clayton
通讯作者：
J. Baihly;R. Malpani;R. Altman;G. Lindsay;R. Clayton
DOI：
10.1007/978-1-4899-1397-5_8
发表时间：
1995
期刊：
--
影响因子：
--
作者：
C. C. Barton-C.
通讯作者：
C. C. Barton-C.
影响因子：
--
作者：
Jianlei Sun;E. Gamboa;D. Schechter;Zhenhua Rui
通讯作者：
Jianlei Sun;E. Gamboa;D. Schechter;Zhenhua Rui