A Chart-Based Diagnostic Model for Tight Gas Reservoirs Based on Shut-in Pressure during Hydraulic Fracturing

被引:0
|
作者
Wei, Mingqiang [1 ]
Yang, Neng [1 ]
Zou, Han [2 ]
Li, Anhao [3 ]
Duan, Yonggang [1 ]
机构
[1] Southwest Petr Univ, Petr Engn Sch, Chengdu 610500, Peoples R China
[2] Sinopec Northwest Oilfield Branch, Luntai Cty 841600, Bayingolin Mong, Peoples R China
[3] Southwest Oil & Gas Field Co, Huayou Co, Chengdu 610017, Peoples R China
来源
关键词
Tight gas reservoir; volume fracturing; G; -function; fracture diagnosis; complex fracture network; shut-in pressure; BASIN; SHALE;
D O I
10.32604/fdmp.2024.058454
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A precise diagnosis of the complex post-fracturing characteristics and parameter variations in tight gas reservoirs is essential for optimizing fracturing technology, enhancing treatment effectiveness, and assessing post-fracturing production capacity. Tight gas reservoirs face challenges due to the interaction between natural fractures and induced fractures. To address these issues, a theoretical model for diagnosing fractures under varying leak-off mechanisms has been developed, incorporating the closure behavior of natural fractures. This model, grounded in material balance theory, also accounts for shut-in pressure. The study derived and plotted typical G-function charts, which capture fracture behavior during closure. By superimposing the G-function in the closure phase of natural fractures with pressure derivative curves, the study explored how fracture parameters-including leak-off coefficient, fracture area, closure pressure, and closure time-impact these diagnostic charts. Findings show that variations in natural fracture flexibility, fracture area, and controlling factors influence the superimposed G-function pressure derivative curve, resulting in distinctive "concave" or "convex" patterns. Field data from Well Y in a specific tight gas reservoir were used to validate the model, confirming both its reliability and practicality.
引用
收藏
页码:309 / 324
页数:16
相关论文
共 50 条
  • [31] Reservoir stress analysis during simultaneous pulsating hydraulic fracturing based on the poroelastodynamics model
    Zhu, Ge
    Dong, Shimin
    Wang, Hongbo
    ENVIRONMENTAL EARTH SCIENCES, 2024, 83 (13)
  • [32] Optimizing natural gas fueling station reservoirs pressure based on ideal gas model
    Farzaneh-Gord, Mahmood
    Deymi-Dashtebayaz, Mahdi
    POLISH JOURNAL OF CHEMICAL TECHNOLOGY, 2013, 15 (01) : 88 - 96
  • [33] Simulation Method for the Distribution of Fractured Branches in Tight Reservoirs During CO2 Fracturing Based on a Fractal Method
    Hu, Chaoyang
    Ma, Keyu
    Shi, Lihua
    Lv, Yang
    Wang, Fengjiao
    FRACTAL AND FRACTIONAL, 2025, 9 (03)
  • [34] Quantitative prediction of fracturing fluid leak-off in shale gas reservoirs based on spontaneous imbibition model of fracturing fluid
    Wang L.
    Lin X.
    Leng J.
    Zhou C.
    Ma Z.
    Xiao Y.
    Natural Gas Industry, 2024, 44 (02): : 92 - 98
  • [35] Evaluation of Recovery of Tight Sandstone Gas Reservoirs Based on a Seepage Steady-State Model
    Zhang, Jianzhong
    Gao, Shusheng
    Xiong, Wei
    Ye, Liyou
    Liu, Huaxun
    Zhu, Wenqing
    An, Weiguo
    Han, Donghuan
    Lin, Baicen
    ENERGIES, 2024, 17 (06)
  • [36] A new productivity model based on gas-water seepage resistance coefficient for tight sandstone reservoirs
    Zhang J.
    Gao S.
    Xiong W.
    Ye L.
    Liu H.
    Zhu W.
    Yang Y.
    Niu W.
    Natural Gas Industry, 2023, 43 (01) : 177 - 187
  • [37] Damage mechanism of water-based fracturing fluid to tight sandstone gas reservoirs: Improvement of The Evaluation Measurement for Properties of Water-based Fracturing Fluid: SY/T 5107-2016
    Tang Hongming
    Tang Haoxuan
    He Jiang
    Zhao Feng
    Zhang Liehui
    Liao Jijia
    Wang Qian
    Yuan Xuefang
    NATURAL GAS INDUSTRY B, 2021, 8 (02) : 163 - 172
  • [38] Damage mechanism of water-based fracturing fluid to tight sandstone gas reservoirs: Improvement of The Evaluation Measurement for Properties of Water-based Fracturing Fluid: SY/T 5107-2016
    Tang H.
    Tang H.
    He J.
    Zhao F.
    Zhang L.
    Liao J.
    Wang Q.
    Yuan X.
    Natural Gas Industry, 2020, 40 (09) : 55 - 63
  • [39] A FEM-DFN-based complex fracture staggered propagation model for hydralic fracturing of shale gas reservoirs
    Tang, Xuanhe
    Zhu, Haiyan
    Li, Kuidong
    Natural Gas Industry, 2023, 43 (01): : 162 - 176
  • [40] Optimal design of shale gas supply chain network considering MPC-based pumping schedule of hydraulic fracturing in unconventional reservoirs
    Ahn, Yuchan
    Siddhamshetty, Prashanth
    Cao, Kaiyu
    Han, Jeehoon
    Kwon, Joseph Sang-Il
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2019, 147 : 412 - 429