Systematic prediction of the gas content, fractures, and brittleness in fractured shale reservoirs with TTI medium

被引:0
|
作者
Yun Zhao [1 ,2 ]
XiaoTao Wen [1 ,2 ]
ChenLong Li [1 ,2 ]
Yang Liu [1 ,2 ]
ChunLan Xie [2 ]
机构
[1] Key Laboratory of Earth Exploration and Information Techniques, Ministry of Education, Chengdu University of Technology
[2] College of Geophysics, Chengdu University of
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The main objective is to optimize the development of shale gas-rich areas by predicting seismic sweet spot parameters in shale reservoirs. We systematically assessed the fracture development, fracture gas content, and rock brittleness in fractured gas-bearing shale reservoirs. To better characterize gas-bearing shale reservoirs with tilted fractures, we optimized the petrophysical modeling based on the equivalent medium theory. Based on the advantages of shale petrophysical modeling, we not only considered the brittle mineral fraction but also the combined effect of shale porosity, gas saturation, and total organic carbon(TOC) when optimizing the brittleness index. Due to fractures generally functioning as essential channels for fluid storage and movement, fracture density and fracture fluid identification factors are critical geophysical parameters for fractured reservoir prediction. We defined a new fracture gas indication factor(GFI) to detect fracture-effective gas content. A new linear PP-wave reflection coefficient equation for a tilted transversely isotropic(TTI) medium was rederived, realizing the direct prediction of anisotropic fracture parameters and the isotropic elasticity parameters from offset vector tile(OVT)-domain seismic data. Synthetic seismic data experiments demonstrated that the inversion algorithm based on the LP quasinorm sparsity constraint and the split-component inversion strategy exhibits high stability and noise resistance. Finally, we applied our new prediction method to evaluate fractured gas-bearing shale reservoirs in the Sichuan Basin of China, demonstrating its effectiveness.
引用
收藏
页码:3202 / 3221
页数:20
相关论文
共 50 条
  • [1] Systematic prediction of the gas content, fractures, and brittleness in fractured shale reservoirs with TTI medium
    Zhao, Yun
    Wen, Xiao-Tao
    Li, Chen-Long
    Liu, Yang
    Xie, Chun-Lan
    [J]. Petroleum Science, 2024, 21 (05) : 3202 - 3221
  • [2] Seepage model and productivity prediction of fractured wells in shale gas reservoirs with discontinuous micro-fractures
    Qi Q.
    Zhu W.-Y.
    Deng J.
    Ma Q.
    [J]. Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2016, 38 (03): : 306 - 313
  • [3] Brittleness index prediction in shale gas reservoirs based on efficient network models
    Shi, Xian
    Liu, Gang
    Cheng, Yuanfang
    Yang, Liu
    Jiang, Hailong
    Chen, Lei
    Jiang, Shu
    Wang, Jian
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2016, 35 : 673 - 685
  • [4] A Productivity Prediction Model for Multistage Fractured Horizontal Wells in Shale Gas Reservoirs
    Xue, Yongchao
    Tian, Hua
    Zhang, Fengyuan
    Wang, Longjun
    Jin, Qingshuang
    [J]. GEOFLUIDS, 2023, 2023
  • [5] A productivity prediction model for multiple fractured horizontal wells in shale gas reservoirs
    Liu, Qiguo
    Chen, Yindi
    Wang, Weihong
    Liu, Hua
    Hu, Xiaohu
    Xie, Yaxiong
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2017, 42 : 252 - 261
  • [6] Brittleness Evaluation in Shale Gas Reservoirs and Its Influence on Fracability
    Ye, Yapei
    Tang, Shuheng
    Xi, Zhaodong
    [J]. ENERGIES, 2020, 13 (02)
  • [7] Impact of Water Dynamics in Fractures on the Performance of Hydraulically Fractured Wells in Gas-Shale Reservoirs
    Cheng, Y.
    [J]. JOURNAL OF CANADIAN PETROLEUM TECHNOLOGY, 2012, 51 (02): : 143 - 151
  • [8] Productivity Prediction of Fractured Horizontal Well in Shale Gas Reservoirs with Machine Learning Algorithms
    Wang, Tianyu
    Wang, Qisheng
    Shi, Jing
    Zhang, Wenhong
    Ren, Wenxi
    Wang, Haizhu
    Tian, Shouceng
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (24):
  • [9] Recovery Efficiency in Hydraulically Fractured Shale Gas Reservoirs
    Seales, Maxian B.
    Ertekin, Turgay
    Wang, John Yilin
    [J]. JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2017, 139 (04):
  • [10] Prediction of fractures by using the stress field in medium to deep shale gas reservoirs: A case study of Late Ordovician-early Silurian shale gas reservoirs in the Nanchuan region, South China
    Yang, Ruiqing
    Yang, Fengli
    Hu, Panpan
    Wang, Wei
    Liu, Ming
    Dong, Ruowen
    [J]. JOURNAL OF ASIAN EARTH SCIENCES, 2024, 265