A Review of Flow Mechanism and Inversion Methods of Fracture Network in Shale Gas Reservoirs

被引:11
|
作者
Huang, Luoyi [1 ]
Sheng, Guanglong [1 ]
Li, Su [2 ]
Tong, Gang [3 ]
Wang, Siyao [1 ]
Peng, Xiaoyin [1 ]
Liu, Deng [1 ]
Chen, JiaTing [1 ]
Xin, LiYuan [1 ]
Hu, Zhouxiang [4 ]
机构
[1] Yangtze Univ, Sch Petr Engn, Wuhan 430100, Peoples R China
[2] Fourth Oil Prod Plant Sinopec Northwest Oilfield, Korla 841000, Peoples R China
[3] PetroChina ChangQing OilField Co, Oilfield Dev Div, Xian 710021, Peoples R China
[4] China Natl Offshore Oil Corp Ltd, Shenzhen Branch, Shenzhen 518000, Peoples R China
关键词
APPARENT PERMEABILITY; SEMIANALYTIC SOLUTION; MATRIX; OIL; TRANSPORT; MULTISCALE; PRESSURE; VOLUME; MODEL; SIMULATIONS;
D O I
10.1155/2021/6689698
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The pore structure of shale gas reservoirs has strong heterogeneity, and the flow mechanism in multiscale media is complex. The fracture network of hydraulic fracturing is significantly affected by reservoir in situ stress, rock mechanical properties, and natural fracture distribution. At present, there is no efficient and accurate inversion method for fracture networks. Accurately describing fracture network morphology and flow capacity distribution of induced fracture is an important basis for production analysis, fracturing evaluation, and production plan. This article focuses on the hot issues of shale gas development, from three aspects: flow parameter characterization method of organic/inorganic matter, multiscale mass transfer simulation of shale gas reservoir, and inversion method of fracture network morphology and flow capacity, to introduce relevant research progress in detail. At the same time, the advantages and shortcomings of current related researches are compared and analyzed. Based on this, the key scientific problems existing on flow mechanisms and inversion method of fracture network in shale gas reservoirs are proposed, which can provide guidance for further research.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Review of Formation and Gas Characteristics in Shale Gas Reservoirs
    Zhang, Boning
    Shan, Baochao
    Zhao, Yulong
    Zhang, Liehui
    ENERGIES, 2020, 13 (20)
  • [22] Research progress on fracture network simulation in shale reservoirs
    Li Y.
    Liu X.
    Hu Z.
    Duan X.
    Chang J.
    Zhou G.
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2019, 54 (02): : 480 - 492
  • [23] Rock fracture kinetics of the fracture mesh system in shale gas reservoirs
    Zhao, Haifeng
    Chen, Mian
    Jin, Yan
    Ding, Yunhong
    Wang, Yonghui
    Shiyou Kantan Yu Kaifa/Petroleum Exploration and Development, 2012, 39 (04): : 465 - 470
  • [24] A Comprehensive Review of the Oil Flow Mechanism and Numerical Simulations in Shale Oil Reservoirs
    Li, Zhiyu
    Lei, Zhengdong
    Shen, Weijun
    Martyushev, Dmitriy A.
    Hu, Xinhai
    ENERGIES, 2023, 16 (08)
  • [25] A review of numerical simulation of shale gas reservoirs
    Yu, Rongze
    Bian, Yanan
    Qi, Yadong
    Zhang, Xiaowei
    Li, Yang
    Yan, Jun
    Wang, Meizhu
    Oil and Gas Geology, 2014, 35 (01): : 131 - 137
  • [26] Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs
    Shen, Weijun
    Li, Xizhe
    Xu, Yanmei
    Sun, Yuping
    Huang, Weigang
    ENERGIES, 2017, 10 (06)
  • [27] The Inversion Method of Shale Gas Effective Fracture Network Volume Based on Flow Back Data-A Case Study of Southern Sichuan Basin Shale
    Tang, Dengji
    Wu, Jianfa
    Zhao, Jinzhou
    Zeng, Bo
    Song, Yi
    Shen, Cheng
    Ren, Lan
    Huang, Yongzhi
    Wang, Zhenhua
    PROCESSES, 2024, 12 (05)
  • [28] A Fractal Discrete Fracture Network Based Model for Gas Production from Fractured Shale Reservoirs
    Hu, Bowen
    Wang, Jianguo
    Ma, Zhanguo
    ENERGIES, 2020, 13 (07)
  • [29] Optimization of hydraulic fracture-network parameters based on production simulation in shale gas reservoirs
    Hu, Yongquan
    Li, Zhiqiang
    Zhao, Jinzhou
    Ren, Lan
    Wang, Dan
    Journal of Engineering Research, 2016, 4 (04): : 214 - 235
  • [30] A Practical probabilistic history matching framework for characterizing fracture network parameters of shale gas reservoirs
    Nwabia, Francis Nzubechukwu
    Leung, Juliana Y.
    GAS SCIENCE AND ENGINEERING, 2024, 126