Multiple Fuzzy Parameters Nonlinear Seepage model for Shale Gas Reservoirs

被引:0
|
作者
Duo Zhang
Sing Kiong Nguang
Lan Shu
Dong Qiu
机构
[1] University of Electronic Science and Technology of China,School of Mathematical Sciences
[2] The University of Auckland,Department of Electrical and Computer Engineering
[3] Chongqing University of Posts and Telecommunications,College of Mathematics and Physics
来源
关键词
Shale gas reservoir; Fuzzy reservoir permeability; Fuzzy formation thickness; Fuzzy differential equation; Fuzzy structural element;
D O I
暂无
中图分类号
学科分类号
摘要
This paper focuses on improving the accuracy of seepage models for shale gas reservoirs on the basis of the fuzzy set theory. First, the fuzzy numbers are used to describe the permeability, formation thickness, initial reservoir pressure, gas viscosity, limiting adsorbed mount, and compression factor of shale gas reservoirs. Second, based on the conventional seepage model, single fuzzy parameter seepage models and the multiple fuzzy parameter seepage model for shale gas reservoirs are set up in turn. Solutions to the fuzzy seepage model are handled by means of the fuzzy structural element method. Finally, with the assistance of the centroid method, we work out a single numerical solution in accordance with the fuzzy solution set. In contrast with the conventional seepage models of shale gas reservoirs, the fuzzy seepage model in this paper makes use of the fuzzy numbers to describe the parameters with uncertainty, which also completely considers the in-homogeneity and complex variability of shale gas reservoirs. A numerical simulation example is presented to show the efficiency and development of the fuzzy seepage model. On the basis of the fuzzy seepage model, the sensitivity analysis of relevant main control parameters is carried out to conduct a further study on relevant seepage laws of shale gas reservoirs.
引用
收藏
页码:2845 / 2857
页数:12
相关论文
共 50 条
  • [41] Study on the nonlinear coupling seepage model of shale reservoir with discrete networks
    Wei ShiMing
    Chen Mian
    Jin Yan
    Lu YunHu
    Xia Yang
    SCIENTIA SINICA-PHYSICA MECHANICA & ASTRONOMICA, 2018, 48 (06)
  • [42] The Fluid-solid Coupling Seepage Mathematical Model of Shale Gas
    Shen, Weijun
    Li, Xizhe
    Lu, Jialiang
    Liu, Xiaohua
    APPLIED MECHANICS AND MATERIALS I, PTS 1-3, 2013, 275-277 : 598 - +
  • [43] A comprehensive seepage model of shale gas reservoir and pressure behavior analysis
    Du, Dian-Fa
    Wang, Yan-Yan
    Zhang, Qiong
    Qiao, Ni
    Liu, Yang
    Natural Gas Geoscience, 2014, 25 (04) : 612 - 617
  • [44] A fractional decline curve analysis model for shale gas reservoirs
    Zuo, Lihua
    Yu, Wei
    Wu, Kan
    INTERNATIONAL JOURNAL OF COAL GEOLOGY, 2016, 163 : 140 - 148
  • [45] Rock physics model for shale gas reservoirs with nanopore adsorption
    Yin, Linjie
    Yin, Xingyao
    Li, Kun
    JOURNAL OF GEOPHYSICS AND ENGINEERING, 2022, 19 (05) : 1012 - 1027
  • [46] Production Model of a Fractured Horizontal Well in Shale Gas Reservoirs
    Wang, Tianyu
    Tian, Shouceng
    Zhang, Wenhong
    Ren, Wenxi
    Li, Gensheng
    ENERGY & FUELS, 2021, 35 (01) : 493 - 500
  • [47] A multiscale model for methane transport mechanisms in shale gas reservoirs
    Hu, Xiaohu
    Yu, Wei
    Liu, Malin
    Wang, Mingwei
    Wang, Weihong
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 172 : 40 - 49
  • [48] An integrated multiscale model for gas storage and transport in shale reservoirs
    Takbiri-Borujeni, Ali
    Fathi, Ebrahim
    Kazemi, Mohammad
    Belyadi, Fatemeh
    FUEL, 2019, 237 : 1228 - 1243
  • [49] A Prediction Model for Methane Adsorption Capacity in Shale Gas Reservoirs
    Zou, Jie
    Rezaee, Reza
    ENERGIES, 2019, 12 (02):
  • [50] Gas Multiple Flow Mechanisms and Apparent Permeability Evaluation in Shale Reservoirs
    Feng, Xuelei
    Ma, Fengshan
    Zhao, Haijun
    Liu, Gang
    Guo, Jie
    SUSTAINABILITY, 2019, 11 (07)