A New Production Data Analysis Method of Shale Gas: Based on Flowing Material Balance Theory and Considering the Complex Flow Mechanisms of Multiple Pressure Systems

被引:4
|
作者
You, Xutao [1 ]
Jia, Chunsheng [1 ]
Liu, Jianyi [1 ]
Liao, Xinyi [1 ]
Zheng, Aiwei [2 ]
Li, Jiqing [2 ]
机构
[1] Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu 610500, Sichuan, Peoples R China
[2] Sinopec, Jianghan Oilfield Branch Co, Qianjiang 433124, Peoples R China
关键词
SRV estimate; fowing material balance; fracture network pressure system; production data analysis; MODEL;
D O I
10.1016/j.egypro.2019.01.900
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
Shale gas has become one of the most important unconventional energy sources in ultra-low permeability reservoirs which has unique reservoir properties and exists in the form of free and adsorptive state in the reservoir, forming many kinds of flow mechanism. In this paper, we provide a new method for production data analysis of shale gas well based on the flowing material balance theory. This method can accurately and effectively evaluate the productivity of shale gas wells and the dropdown of formation energy. This new model divides SRV into matrix pressure system and hydraulic fracturing pressure system. Only 5 fitting parameters are needed to complete the productivity evaluation of shale gas well, and the pressure data of matrix system and hydraulic fracturing systems can be calculated by this model. Compared with the Hz Multifrac model in RTA, our model achieves better and more stable evaluation results in the application of typical production wells in many large shale gas fields, such as Fuling, Changning, Eagle Ford and Barnet. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:3626 / 3632
页数:7
相关论文
共 27 条
  • [1] A new approach to model shale gas production behavior by considering coupled multiple flow mechanisms for multiple fractured horizontal well
    Lu, Ting
    Liu, Shimin
    Li, Zhiping
    FUEL, 2019, 237 : 283 - 297
  • [2] Pressure and rate transient analysis of composite shale gas reservoirs considering multiple mechanisms
    Zeng, Hui
    Fan, Dongyan
    Yao, Jun
    Sun, Hai
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 27 : 914 - 925
  • [3] A new CBM well quantitative production method based on the flow material balance theory
    Li J.
    Pan J.
    Li Y.
    Zhou Q.
    Zhao H.
    Natural Gas Industry, 2023, 43 (06) : 87 - 95
  • [4] Production performance analysis for composite shale gas reservoir considering multiple transport mechanisms
    Xu, Jianchun
    Guo, Chaohua
    Wei, Mingzhen
    Jiang, Ruizhong
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 26 : 382 - 395
  • [5] A new method for production data analysis in shale gas reservoirs
    Li, Qingyu
    Li, Peichao
    Pang, Wei
    Li, Daolun
    Liang, Haibo
    Lu, Detang
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2018, 56 : 368 - 383
  • [6] An upscaled transport model for shale gas considering multiple mechanisms and heterogeneity based on homogenization theory
    Fan, Weipeng
    Sun, Hai
    Yao, Jun
    Fan, Dongyan
    Yang, Yongfei
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 183
  • [7] Transient Flow Theory of Multiple-Fractured Horizontal Wells with Complex Mechanisms in Shale Gas Reservoirs
    Du, Dianfa
    Zhang, Genkai
    Zhao, Yanwu
    Sun, Xiaofei
    Zhang, Bin
    GEOFLUIDS, 2020, 2020
  • [8] A new method for production data analysis of tight and shale gas reservoirs during transient linear flow period
    Qanbari, Farhad
    Clarkson, Christopher R.
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2013, 14 : 55 - 65
  • [9] COMPREHENSIVE PRODUCTION ANALYSIS FOR SHALE GAS WELLS CONSIDERING MULTI-NONLINEAR FLOW MECHANISMS AND HETEROGENEOUS SRV
    Du, Xulin
    Cheng, Linsong
    Cao, Renyi
    Yang, Yanwei
    Wang, Zhikai
    Sun, Zhaole
    JOURNAL OF POROUS MEDIA, 2021, 24 (12) : 115 - 135
  • [10] A semi-analytical method of production prediction for shale gas wells considering multi-nonlinearity of flow mechanisms
    Wu Y.
    Cheng L.
    Huang S.
    Xue Y.
    Ding G.
    Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica, 2018, 48 (06): : 691 - 700