IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v263y2023ipds0360544222028651.html
   My bibliography  Save this article

A nonlinear model of multifractured horizontal wells in heterogeneous gas reservoirs considering the effect of stress sensitivity

Author

Listed:
  • Tian, Feng
  • Wang, Junlei
  • Xu, Zhenhua
  • Xiong, Fansheng
  • Xia, Peng

Abstract

Tight gas reservoirs are usually heterogeneous and associated with notable stress sensitivity during the production, directly influencing long-term development. This paper proposes a nonlinear model of multifractured horizontal wells in heterogeneous gas reservoirs considering stress-sensitive effects. Based on the linearization by stress-dependent pseudopressure and pseudotime functions, the boundary element method and Green's solution are applied to solve the model semianalytically. The effects of the stress sensitivity, production settings and subblock number are analyzed. The stress sensitivity is mainly reflected at the middle and later production stages, imposing a notable negative effect on bottomhole pressure, reducing the bottomhole pressure in a two-block reservoir by approximately 1%–28.2%. The recoveries in a two-block reservoir with different production settings under a terminal pressure vary from 16.3% to 42.49%, and thus a reasonable rate should be set to weaken the stress-sensitive effects on pressure loss to obtain a higher cumulative production within a given time. For a three-block reservoir, the proper increase of the fracture parameters in low permeability blocks can weaken the influences of heterogeneity and make the development more uniformly. This paper provides a theoretical basis for improving gas production performance forecasting for efficient development of natural gas.

Suggested Citation

  • Tian, Feng & Wang, Junlei & Xu, Zhenhua & Xiong, Fansheng & Xia, Peng, 2023. "A nonlinear model of multifractured horizontal wells in heterogeneous gas reservoirs considering the effect of stress sensitivity," Energy, Elsevier, vol. 263(PD).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222028651
    DOI: 10.1016/j.energy.2022.125979
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222028651
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.125979?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aydin, Gokhan, 2014. "Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 382-389.
    2. Solarin, Sakiru Adebola & Gil-Alana, Luis A. & Lafuente, Carmen, 2020. "An investigation of long range reliance on shale oil and shale gas production in the U.S. market," Energy, Elsevier, vol. 195(C).
    3. Yang, Jinghua & Wang, Min & Wu, Lei & Liu, Yanwei & Qiu, Shuxia & Xu, Peng, 2021. "A novel Monte Carlo simulation on gas flow in fractal shale reservoir," Energy, Elsevier, vol. 236(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao, Jianguo & Zheng, Haotian & Xie, Chong & Xiao, Xiaohua & Han, Shuo & Huang, Bensheng & Zhang, Xuanang, 2024. "Research on the influence mechanism of fluid control valve on the production of segmented horizontal wells and the balanced gas production control model: A case analysis of Sichuan basin natural gas," Energy, Elsevier, vol. 294(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Jing & Xie, Yetong & Liu, Huimin & Zhang, Xuecai & Li, Chuanhua & Zhang, Lisong, 2023. "Combining macro and micro experiments to reveal the real-time evolution of permeability of shale," Energy, Elsevier, vol. 262(PB).
    2. Qin, Lei & Wang, Ping & Lin, Haifei & Li, Shugang & Zhou, Bin & Bai, Yang & Yan, Dongjie & Ma, Chao, 2023. "Quantitative characterization of the pore volume fractal dimensions for three kinds of liquid nitrogen frozen coal and its enlightenment to coalbed methane exploitation," Energy, Elsevier, vol. 263(PA).
    3. Guo, Yuhang & Pan, Baozhi & Zhang, Lihua & Lai, Qiang & Wu, Yuyu & A, Ruhan & Wang, Xinru & Zhang, Pengji & Zhang, Naiyu & Li, Yan, 2023. "A fluid discrimination method based on Gassmann-Brie-Patchy Equation full waveform simulations and time-frequency analysis," Energy, Elsevier, vol. 275(C).
    4. Shuguang Liu & Jiayi Wang & Yin Long, 2023. "Research into the Spatiotemporal Characteristics and Influencing Factors of Technological Innovation in China’s Natural Gas Industry from the Perspective of Energy Transition," Sustainability, MDPI, vol. 15(9), pages 1-34, April.
    5. Fuster-Palop, Enrique & Prades-Gil, Carlos & Masip, X. & Viana-Fons, Joan D. & Payá, Jorge, 2021. "Innovative regression-based methodology to assess the techno-economic performance of photovoltaic installations in urban areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    6. Zhang, Shuo & Song, Shengyuan & Zhang, Wen & Zhao, Jinmin & Cao, Dongfang & Ma, Wenliang & Chen, Zijian & Hu, Ying, 2023. "Research on the inherent mechanism of rock mass deformation of oil shale in-situ mining under the condition of thermal-fluid-solid coupling," Energy, Elsevier, vol. 280(C).
    7. Raza, Muhammad Yousaf & Lin, Boqiang, 2023. "Future outlook and influencing factors analysis of natural gas consumption in Bangladesh: An economic and policy perspectives," Energy Policy, Elsevier, vol. 173(C).
    8. Golberg, Alexander, 2015. "Environmental exergonomics for sustainable design and analysis of energy systems," Energy, Elsevier, vol. 88(C), pages 314-321.
    9. Yue, Xiufeng & Deane, J.P. & O'Gallachoir, Brian & Rogan, Fionn, 2020. "Identifying decarbonisation opportunities using marginal abatement cost curves and energy system scenario ensembles," Applied Energy, Elsevier, vol. 276(C).
    10. Yang, Jinghua & Wang, Min & Wu, Lei & Liu, Yanwei & Qiu, Shuxia & Xu, Peng, 2021. "A novel Monte Carlo simulation on gas flow in fractal shale reservoir," Energy, Elsevier, vol. 236(C).
    11. Yang, Xu & Zhou, Wenning & Liu, Xunliang & Yan, Yuying, 2020. "A multiscale approach for simulation of shale gas transport in organic nanopores," Energy, Elsevier, vol. 210(C).
    12. Park, Nyun-Bae & Park, Sang Yong & Kim, Jong-Jin & Choi, Dong Gu & Yun, Bo Yeong & Hong, Jong Chul, 2017. "Technical and economic potential of highly efficient boiler technologies in the Korean industrial sector," Energy, Elsevier, vol. 121(C), pages 884-891.
    13. Gang Liu & Duo Chen & Bo Li & Changjun Li, 2023. "Primary Growth Behavior of Sulfur Particles through the Throttle Valve in the Transmission System of High Sulfur Content Natural Gas," Energies, MDPI, vol. 16(7), pages 1-31, March.
    14. Rafiee, A. & Dias, E. & Koomen, E., 2019. "Analysing the impact of spatial context on the heat consumption of individual households," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 461-470.
    15. Wen, Kai & Jiao, Jianfeng & Zhao, Kang & Yin, Xiong & Liu, Yuan & Gong, Jing & Li, Cuicui & Hong, Bingyuan, 2023. "Rapid transient operation control method of natural gas pipeline networks based on user demand prediction," Energy, Elsevier, vol. 264(C).
    16. Xiaoping Li & Shudong Liu & Ji Li & Xiaohua Tan & Yilong Li & Feng Wu, 2020. "Apparent Permeability Model for Gas Transport in Multiscale Shale Matrix Coupling Multiple Mechanisms," Energies, MDPI, vol. 13(23), pages 1-24, November.
    17. Hu, Ting & Huang, Xin, 2019. "A novel locally adaptive method for modeling the spatiotemporal dynamics of global electric power consumption based on DMSP-OLS nighttime stable light data," Applied Energy, Elsevier, vol. 240(C), pages 778-792.
    18. Qiao, Weibiao & Liu, Wei & Liu, Enbin, 2021. "A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of U.S," Energy, Elsevier, vol. 235(C).
    19. Menglei Li & Chaomo Zhang, 2023. "An Improved Method to Accurately Estimate TOC of Shale Reservoirs and Coal-Measures," Energies, MDPI, vol. 16(6), pages 1-23, March.
    20. Liu, Hao & Su, Guandong & Okere, Chinedu J. & Li, Guozhang & Wang, Xiangchun & Cai, Yuzhe & Wu, Tong & Zheng, Lihui, 2022. "Working fluid-induced formation damage evaluation for commingled production of multi-layer natural gas reservoirs with flow rate method," Energy, Elsevier, vol. 239(PB).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222028651. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.