Automatic history matching of multistage fractured shale gas reservoir constrained by microseismic data

被引:6
|
作者
Liu, Qianjun [1 ,2 ,3 ]
Xue, Liang [1 ,2 ]
Sarout, Joel [4 ]
Lin, Qing [1 ]
Pan, Wen [3 ]
Liu, Yuetian [1 ,2 ]
Feng, Runhua [5 ]
机构
[1] China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
[2] China Univ Petr, Coll Petr Engn, Dept Oil Gas Field Dev Engn, Beijing 102249, Peoples R China
[3] Univ Texas Austin, Dept Petr & Geosyst Engn, Austin, TX 78712 USA
[4] CSIRO Energy, Kensington, WA 6152, Australia
[5] Curtin Univ, Western Australia Sch Mines Minerals Energy & Che, Kensington, WA 6151, Australia
基金
北京市自然科学基金;
关键词
Automatic history matching ( AHM ); Embedded discrete fracture model ( EDFM ); Multiscale fracture characterization; Energy based K-Means clustering ( EBKC ); Microseismic events ( MEs ); Ensemble kalman filter ( EnKF ); ENSEMBLE KALMAN FILTER; PROXY-BASED MCMC; SELECTING VALUES; PRODUCTION-RATES; INPUT VARIABLES; HORIZONTAL WELL; FLOW; SIMULATION; MODEL; OIL;
D O I
10.1016/j.petrol.2022.110357
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Implementing an effective automatic history matching (AHM) is essential for the shale gas reservoir characterization and production optimization. Embedded discrete fracture model (EDFM) has been recognized as an efficient forward model used in AHM, in which the properties of multiscale fracture planes are required to be properly assigned. However, the multiscale fracture characterization based on the induced microseismic events (MEs) is still unclear, resulting in the over-simplified fracture planes used in the EDFM simulator. To estimate the properties of multistage fractured reservoir more accurately with both production and microseismic data, a new two-step history matching workflow is proposed. The energy-based K-means clustering (EBKC) is applied to characterize the distribution and geometry of multiscale fracture planes based on mutistage microseismic events (MEs). The obtained fracture planes are then used as prior model parameters in the Ensemble Kalman Filter (EnKF) based history matching method to assimilate the production data. The performance of the proposed workflow is verified by a synthetic case study, and the updated ensemble of production forecast successfully matches the observation data. The uncertainties associated with the updated ensemble of fracture property and permeability of primary fractures are significantly reduced, but substantial uncertainties are still remain for the secondary and tertiary fracture permeability. It indicates that the production data is more sensitive to the permeability of primary fracture. Notably, the highest-frequency component of the updated ensembles matches the observations with less than 20% discrepancy. With the case study, it elucidates that our EBKC approach can successfully characterize the multistrand fractures implemented into a computationally efficient forward model, i.e., EDFM for multistage fractured shale gas reservoir. Therefore, the proposed AHM workflow is recommended for field application.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Analysis of microseismic events during a multistage hydraulic stimulation experiment at a shale gas reservoir
    Kaka, SanLinn I.
    Reyes-Montes, Juan M.
    Al-Shuhail, Abdullah
    Al-Shuhail, Abdullatif A.
    Jervis, Michael
    PETROLEUM GEOSCIENCE, 2017, 23 (03) : 386 - 394
  • [2] Research on the production performance of multistage fractured horizontal well in shale gas reservoir
    Zhang Deliang
    Zhang Liehui
    Guo Jingjing
    Zhou Yuhui
    Zhao Yulong
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 26 : 279 - 289
  • [3] A Model for a Multistage Fractured Horizontal Well with Rectangular SRV in a Shale Gas Reservoir
    Wu, Jianfa
    Zhang, Jian
    Chang, Cheng
    Xie, Weiyang
    Wu, Tianpeng
    GEOFLUIDS, 2020, 2020
  • [4] Production forecast of a multistage fractured horizontal well by an analytical method in shale gas reservoir
    Yongming Li
    Xianyong You
    Jinzhou Zhao
    Youshi Jiang
    Xuan Pu
    Environmental Earth Sciences, 2019, 78
  • [5] Production forecast of a multistage fractured horizontal well by an analytical method in shale gas reservoir
    Li, Yongming
    You, Xianyong
    Zhao, Jinzhou
    Jiang, Youshi
    Pu, Xuan
    ENVIRONMENTAL EARTH SCIENCES, 2019, 78 (09)
  • [6] Two-Phase Production Performance of Multistage Fractured Horizontal Wells in Shale Gas Reservoir
    Xiao, Hongsha
    He, Siliang
    Chen, Man
    Liu, Changdi
    Zhang, Qianwen
    Zhang, Ruihan
    PROCESSES, 2025, 13 (02)
  • [7] Seismic Anisotropy Estimation Using a Downhole Microseismic Data Set in a Shale Gas Reservoir
    Yu, Changpeng
    Zhu, Yaling
    Shapiro, Serge
    ENERGIES, 2023, 16 (23)
  • [8] An efficient automatic history matching method through the probabilistic collocation based particle filter for shale gas reservoir
    Xue, Liang
    Liu, Yuetian
    Nan, Tongchao
    Liu, Qianjun
    Jiang, Xieer
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 190 (190)
  • [9] Moving boundary analysis of fractured shale gas reservoir
    Qi Q.
    Zhu W.-Y.
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2019, 41 (11): : 1387 - 1396
  • [10] A simulator for production prediction of multistage fractured horizontal well in shale gas reservoir considering complex fracture geometry
    Zhang, Rui-han
    Zhang, Lie-hui
    Tang, Hui-ying
    Chen, Sheng-nan
    Zhao, Yu-long
    Wu, Jian-fa
    Wang, Ke-ren
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2019, 67 : 14 - 29