IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v236y2021ics0360544221016972.html
   My bibliography  Save this article

Mortar dynamic coupled model for calculating interface gas exchange between organic and inorganic matters of shale

Author

Listed:
  • Cao, Gaohui
  • Jiang, Wenbin
  • Lin, Mian
  • Ji, Lili
  • Xu, Zhipeng
  • Zheng, Siping
  • Hao, Fang

Abstract

Shale gas has revolutionized the world energy in recent years. In this work, a mortar dynamic coupled model (MDCM) is successfully built for simulating gas transport from molecular motion in nanopores to highly permeable fractures. Results show that the production duration of MDCM can reach about tenfold that of a single medium model, which affords a microscale explanation for the long tail production. We also propose a two-stage process in the variation of the mass-exchange-rate with the pressure difference of organic matter and inorganic matter: it is nonlinear in Stage Ⅰ, while shows a linear relationship in Stage Ⅱ. Combined with theoretical analyses, numerical simulations and dimensional analyses, an efficient and practical relation for calculating the interface gas exchange in tail production is obtained. The relation offers a valuable tool for the gas transport properties in fractured shale and is finally validated by a gas expansion experiment. Better performance can be obtained in terms of accuracy and precision than the current model. These results stress the need for a change of paradigm from statistic to dynamic trans-scale transport. The new insights into transport in the long-term shale gas production suggest new leads for the industry.

Suggested Citation

  • Cao, Gaohui & Jiang, Wenbin & Lin, Mian & Ji, Lili & Xu, Zhipeng & Zheng, Siping & Hao, Fang, 2021. "Mortar dynamic coupled model for calculating interface gas exchange between organic and inorganic matters of shale," Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221016972
    DOI: 10.1016/j.energy.2021.121449
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221016972
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121449?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. Thomas Lee & Lydéric Bocquet & Benoit Coasne, 2016. "Activated desorption at heterogeneous interfaces and long-time kinetics of hydrocarbon recovery from nanoporous media," Nature Communications, Nature, vol. 7(1), pages 1-10, September.
    2. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    3. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Sualp, M. Nedim, 2016. "How did the US economy react to shale gas production revolution? An advanced time series approach," Energy, Elsevier, vol. 116(P1), pages 963-977.
    4. Ma, Lin & Dowey, Patrick J. & Rutter, Ernest & Taylor, Kevin G. & Lee, Peter D., 2019. "A novel upscaling procedure for characterising heterogeneous shale porosity from nanometer-to millimetre-scale in 3D," Energy, Elsevier, vol. 181(C), pages 1285-1297.
    5. Middleton, Richard S. & Gupta, Rajan & Hyman, Jeffrey D. & Viswanathan, Hari S., 2017. "The shale gas revolution: Barriers, sustainability, and emerging opportunities," Applied Energy, Elsevier, vol. 199(C), pages 88-95.
    6. Chen, Wei & Yang, Yunfeng & Wang, Tengxi, 2019. "Non-linear gas transport inside an ultra-tight Longmaxi shale core under thermal stimulation conditions," Energy, Elsevier, vol. 186(C).
    7. Wang, Hui & Chen, Li & Qu, Zhiguo & Yin, Ying & Kang, Qinjun & Yu, Bo & Tao, Wen-Quan, 2020. "Modeling of multi-scale transport phenomena in shale gas production — A critical review," Applied Energy, Elsevier, vol. 262(C).
    8. 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).
    Full references (including those not matched with items on IDEAS)

    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. Shan, Baochao & Wang, Runxi & Guo, Zhaoli & Wang, Peng, 2021. "Contribution quantification of nanoscale gas transport in shale based on strongly inhomogeneous kinetic model," Energy, Elsevier, vol. 228(C).
    2. 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).
    3. Afees Adebare Salisu & Idris A. Adediran, 2018. "The U.S. Shale Oil Revolution and the Behavior of Commodity Prices," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(1), pages 27-53, September.
    4. Li, Boying & Zheng, Mingbo & Zhao, Xinxin & Chang, Chun-Ping, 2021. "An assessment of the effect of partisan ideology on shale gas production and the implications for environmental regulations," Economic Systems, Elsevier, vol. 45(3).
    5. Zhou, Wei & Li, Xiangchengzhen & Qi, ZhongLi & Zhao, HaiHang & Yi, Jun, 2024. "A shale gas production prediction model based on masked convolutional neural network," Applied Energy, Elsevier, vol. 353(PA).
    6. Wang, Tianyu & Tian, Shouceng & Li, Gensheng & Zhang, Liyuan & Sheng, Mao & Ren, Wenxi, 2021. "Molecular simulation of gas adsorption in shale nanopores: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Sun, Chuanwang & Ding, Dan & Fang, Xingming & Zhang, Huiming & Li, Jianglong, 2019. "How do fossil energy prices affect the stock prices of new energy companies? Evidence from Divisia energy price index in China's market," Energy, Elsevier, vol. 169(C), pages 637-645.
    8. Yang, Run & Liu, Xiangui & Yu, Rongze & Hu, Zhiming & Duan, Xianggang, 2022. "Long short-term memory suggests a model for predicting shale gas production," Applied Energy, Elsevier, vol. 322(C).
    9. Wang, Hui & Chen, Li & Qu, Zhiguo & Yin, Ying & Kang, Qinjun & Yu, Bo & Tao, Wen-Quan, 2020. "Modeling of multi-scale transport phenomena in shale gas production — A critical review," Applied Energy, Elsevier, vol. 262(C).
    10. Gao, Zheng & Li, Bobo & Li, Jianhua & Jia, Lidan & Wang, Zhonghui, 2023. "Adsorption characteristics and thermodynamic analysis of shale in northern Guizhou, China: Measurement, modeling and prediction," Energy, Elsevier, vol. 262(PA).
    11. Afees A. Salisu & Idris Adediran, 2018. "US shale oil and the behaviour of commodity prices," Working Papers 047, Centre for Econometric and Allied Research, University of Ibadan.
    12. Wei, Yi-Ming & Kang, Jia-Ning & Yu, Bi-Ying & Liao, Hua & Du, Yun-Fei, 2017. "A dynamic forward-citation full path model for technology monitoring: An empirical study from shale gas industry," Applied Energy, Elsevier, vol. 205(C), pages 769-780.
    13. Qian, Jiaxin & Wu, Jiahui & Yao, Lei & Mahmut, Saniye & Zhang, Qiang, 2021. "Comprehensive performance evaluation of Wind-Solar-CCHP system based on emergy analysis and multi-objective decision method," Energy, Elsevier, vol. 230(C).
    14. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    15. Rajpal, Sheetal & Lakhyani, Navin & Singh, Ayush Kumar & Kohli, Rishav & Kumar, Naveen, 2021. "Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    16. Hasankhani, Arezoo & Hakimi, Seyed Mehdi, 2021. "Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market," Energy, Elsevier, vol. 219(C).
    17. Jia, Wenlong & Yang, Fan & Li, Changjun & Huang, Ting & Song, Shuoshuo, 2021. "A unified thermodynamic framework to compute the hydrate formation conditions of acidic gas/water/alcohol/electrolyte mixtures up to 186.2 MPa," Energy, Elsevier, vol. 230(C).
    18. Karasu, Seçkin & Altan, Aytaç, 2022. "Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization," Energy, Elsevier, vol. 242(C).
    19. Yan, Min & Zhou, Ming & Li, Shugang & Lin, Haifei & Zhang, Kunyin & Zhang, Binbin & Shu, Chi-Min, 2021. "Numerical investigation on the influence of micropore structure characteristics on gas seepage in coal with lattice Boltzmann method," Energy, Elsevier, vol. 230(C).
    20. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(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:eee:energy:v:236:y:2021:i:c:s0360544221016972. 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.