IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i9p2335-d167746.html
   My bibliography  Save this article

A Transient Productivity Model of Fractured Wells in Shale Reservoirs Based on the Succession Pseudo-Steady State Method

Author

Listed:
  • Fanhui Zeng

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China)

  • Fan Peng

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China)

  • Jianchun Guo

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China)

  • Jianhua Xiang

    (PetroChina Limited Company Southwest Oil and Gas Field Branch, Chengdu 610017, China)

  • Qingrong Wang

    (PetroChina Limited Company Southwest Oil and Gas Field Branch, Chengdu 610017, China)

  • Jiangang Zhen

    (PetroChina Changqing Oil Field Branch Twelfth Oil Production Plant, Xi’an 710200, China)

Abstract

After volume fracturing, shale reservoirs can be divided into nonlinear seepage areas controlled by micro- or nanoporous media and Darcy seepage areas controlled by complex fracture networks. In this paper, firstly, on the basis of calculating complex fracture network permeability in a stimulated zone, the steady-state productivity model is established by comprehensively considering the multi-scale flowing states, shale gas desorption and diffusion after shale fracturing coupling flows in matrix and stimulated region. Then, according to the principle of material balance, a transient productivity calculation model is established with the succession pseudo-steady state (SPSS) method, which considers the unstable propagation of pressure waves, and the factors affecting the transient productivity of fractured wells in shale gas areas are analyzed. The numerical model simulation results verify the reliability of the transient productivity model. The results show that: (1) the productivity prediction model based on the SPSS method provides a theoretical basis for the transient productivity calculation of shale fractured horizontal well, and it has the characteristics of simple solution process, fast computation speed and good agreement with numerical simulation results; (2) the pressure wave propagates from the bottom of the well to the outer boundary of the volume fracturing zone, and then propagates from the outer boundary of the fracturing zone to the reservoir boundary; (3) with the increase of fracturing zone radius, the initial average aperture of fractures, maximum fracture length, the productivity of shale gas increases, and the increase rate gradually decreases. When the fracturing zone radius is 150 m, the daily output is approximately twice as much as that of 75 m. If the initial average aperture of fractures is 50 μm, the daily output is about half of that when the initial average aperture is 100 μm. When the maximum fracture length increases from 50 m to 100 m, the daily output only increases about by 25%. (4) When the Langmuir volume is relatively large, the daily outputs of different Langmuir volumes are almost identical, and the effect of Langmuir volume on the desorption output can almost be ignored.

Suggested Citation

  • Fanhui Zeng & Fan Peng & Jianchun Guo & Jianhua Xiang & Qingrong Wang & Jiangang Zhen, 2018. "A Transient Productivity Model of Fractured Wells in Shale Reservoirs Based on the Succession Pseudo-Steady State Method," Energies, MDPI, vol. 11(9), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2335-:d:167746
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/9/2335/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/9/2335/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rui, Zhenhua & Wang, Xiaoqing & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A realistic and integrated model for evaluating oil sands development with Steam Assisted Gravity Drainage technology in Canada," Applied Energy, Elsevier, vol. 213(C), pages 76-91.
    2. Rui, Zhenhua & Cui, Kehang & Wang, Xiaoqing & Chun, Jung-Hoon & Li, Yuwei & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A comprehensive investigation on performance of oil and gas development in Nigeria: Technical and non-technical analyses," Energy, Elsevier, vol. 158(C), pages 666-680.
    3. Wendong Wang & Yuliang Su & Bin Yuan & Kai Wang & Xiaopeng Cao, 2018. "Numerical Simulation of Fluid Flow through Fractal-Based Discrete Fractured Network," Energies, MDPI, vol. 11(2), pages 1-15, January.
    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. Qiang Wang & Jifang Wan & Langfeng Mu & Ruichen Shen & Maria Jose Jurado & Yufeng Ye, 2020. "An Analytical Solution for Transient Productivity Prediction of Multi-Fractured Horizontal Wells in Tight Gas Reservoirs Considering Nonlinear Porous Flow Mechanisms," Energies, MDPI, vol. 13(5), pages 1-20, March.
    2. Haiyang Yu & Songchao Qi & Zhewei Chen & Shiqing Cheng & Qichao Xie & Xuefeng Qu, 2019. "Simulation Study of Allied In-Situ Injection and Production for Enhancing Shale Oil Recovery and CO 2 Emission Control," Energies, MDPI, vol. 12(20), pages 1-18, October.
    3. Jianchao Cai & Zhien Zhang & Qinjun Kang & Harpreet Singh, 2019. "Recent Advances in Flow and Transport Properties of Unconventional Reservoirs," Energies, MDPI, vol. 12(10), pages 1-5, May.

    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. Asadi, Asgar & Zhang, Yaning & Mohammadi, Hassan & Khorand, Hadi & Rui, Zhenhua & Doranehgard, Mohammad Hossein & Bozorg, Mehdi Vahabzadeh, 2019. "Combustion and emission characteristics of biomass derived biofuel, premixed in a diesel engine: A CFD study," Renewable Energy, Elsevier, vol. 138(C), pages 79-89.
    2. Jiang, Jieyun & Rui, Zhenhua & Hazlett, Randy & Lu, Jun, 2019. "An integrated technical-economic model for evaluating CO2 enhanced oil recovery development," Applied Energy, Elsevier, vol. 247(C), pages 190-211.
    3. Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Governance,CO2 emissions and inclusive human development in Sub-Saharan Africa," Working Papers 25253, University of South Africa, Department of Economics.
    4. Zhang, Lisong & Li, Jing & Sun, Luning & Yang, Feiyue, 2021. "An influence mechanism of shale barrier on heavy oil recovery using SAGD based on theoretical and numerical analysis," Energy, Elsevier, vol. 216(C).
    5. Arena, Marika & Azzone, Giovanni & Dell’Agostino, Laura & Scotti, Francesco, 2022. "Precision policies and local content targets in resource-rich developing countries: The case of the oil and gas sector in Mozambique," Resources Policy, Elsevier, vol. 76(C).
    6. Zhang, Rongda & Wei, Jing & Zhao, Xiaoli & Liu, Yang, 2022. "Economic and environmental benefits of the integration between carbon sequestration and underground gas storage," Energy, Elsevier, vol. 260(C).
    7. Yao, Yue & Sun, Deqiang & Xu, Jin-Hua & Wang, Bin & Peng, Guohong & Sun, Bingmei, 2023. "Evaluation of enhanced oil recovery methods for mature continental heavy oil fields in China based on geology, technology and sustainability criteria," Energy, Elsevier, vol. 278(PB).
    8. Majid Askarifard & Hamidreza Abbasianjahromi & Mehran Sepehri & Ehsanollah Zeighami, 2021. "A robust multi-objective optimization model for project scheduling considering risk and sustainable development criteria," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11494-11524, August.
    9. Jingxuan Zhang & Xiangjun Liu & Xiaochen Wei & Lixi Liang & Jian Xiong & Wei Li, 2019. "Uncertainty Analysis of Factors Influencing Stimulated Fracture Volume in Layered Formation," Energies, MDPI, vol. 12(23), pages 1-24, November.
    10. Binta Yahaya & S A J Obansa & Malanta Sabiu Abdullahi, 2023. "Modeling the Demand-Supply Mismatch and Price Optimization of Natural Gas in Nigeria," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(8), pages 187-197, August.
    11. Long Ren & Wendong Wang & Yuliang Su & Mingqiang Chen & Cheng Jing & Nan Zhang & Yanlong He & Jian Sun, 2018. "Multiporosity and Multiscale Flow Characteristics of a Stimulated Reservoir Volume (SRV)-Fractured Horizontal Well in a Tight Oil Reservoir," Energies, MDPI, vol. 11(10), pages 1-14, October.
    12. Radpour, Saeidreza & Gemechu, Eskinder & Ahiduzzaman, Md & Kumar, Amit, 2021. "Development of a framework for the assessment of the market penetration of novel in situ bitumen extraction technologies," Energy, Elsevier, vol. 220(C).
    13. Behboud, Reza & Zarei, Azim & Azar, Adel & Ebrahimi, Seyed Abbas, 2023. "Failure to develop the world's largest natural gas field: Lessons from endeavors in the South Pars mega projects," Energy, Elsevier, vol. 272(C).
    14. Sun, Wei & Cheng, Qinglin & Li, Zhidong & Wang, Zhihua & Gan, Yifan & Liu, Yang & Shao, Shuai, 2019. "Study on Coil Optimization on the Basis of Heating Effect and Effective Energy Evaluation during Oil Storage Process," Energy, Elsevier, vol. 185(C), pages 505-520.
    15. Zhengbin Wu & Hanzhao Chen & Xidong Cai & Qiyang Gou & Liangliang Jiang & Kai Chen & Zhangxin Chen & Shu Jiang, 2023. "Current Status and Future Trends of In Situ Catalytic Upgrading of Extra Heavy Oil," Energies, MDPI, vol. 16(12), pages 1-29, June.
    16. Xuyue Chen & Jin Yang & Deli Gao & Yongcun Feng & Yanjun Li & Ming Luo, 2018. "The Maximum-Allowable Well Depth While Drilling of Extended-Reach Wells Targeting to Offshore Depleted Reservoirs," Energies, MDPI, vol. 11(5), pages 1-17, April.
    17. Guo, Tiankui & Zhang, Yuelong & He, Jiayuan & Gong, Facheng & Chen, Ming & Liu, Xiaoqiang, 2021. "Research on geothermal development model of abandoned high temperature oil reservoir in North China oilfield," Renewable Energy, Elsevier, vol. 177(C), pages 1-12.
    18. Ahmadi, Mohammadali & Hou, Qingfeng & Wang, Yuanyuan & Lei, Xuantong & Liu, Benjieming & Chen, Zhangxin, 2023. "Spotlight on reversible emulsification and demulsification of tetradecane-water mixtures using CO2/N2 switchable surfactants: Molecular dynamics (MD) simulation," Energy, Elsevier, vol. 279(C).
    19. Abudu, Hermas & Cai, Xiangyu & Lin, Boqiang, 2022. "How upstream petroleum industry affects economic growth and development in petroleum producing-countries: Evidence from Ghana," Energy, Elsevier, vol. 260(C).
    20. Becerra-Fernandez, Mauricio & Cosenz, Federico & Dyner, Isaac, 2020. "Modeling the natural gas supply chain for sustainable growth policy," Energy, Elsevier, vol. 205(C).

    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:gam:jeners:v:11:y:2018:i:9:p:2335-:d:167746. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.