IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v262y2020ics0306261920300362.html
   My bibliography  Save this article

An integrated assessment system for shale gas resources associated with graptolites and its application

Author

Listed:
  • Gong, Jianming
  • Qiu, Zhen
  • Zou, Caineng
  • Wang, Hongyan
  • Shi, Zhensheng

Abstract

Shale gas exploration or development has been carried out in many countries, and gas shales have become one of the major sources of future natural gas production worldwide. However, many differences of gas shales in China with those in other regions make shale gas development in China exceptionally challenging. Fortunately, the Wufeng-Longmaxi gas shales in China contain abundant graptolites, providing a potential method for evaluating the quality of these gas shale reservoirs in South China. Numerous exploration studies have shown that the shale gas sweet-spot intervals in the Wufeng-Longmaxi Shale coincide with graptolite biozones WF2-LM5, providing new insight for evaluating shale gas sweet-spot intervals. This paper, for the first time, proposes a new integrated method using graptolite zones to identify shale gas sweet-spot intervals. Once the sweet-spot interval of shale gas is determined quickly by using this method in an explored block, it can provide an important reference for well design and hydraulically fracturing treatments within short time, significantly enhancing the efficiency of shale gas exploration. More importantly, this new integrated assessment system can be utilized to quickly judge the potential of shale gas development for new shale gas blocks or poorly explored blocks.

Suggested Citation

  • Gong, Jianming & Qiu, Zhen & Zou, Caineng & Wang, Hongyan & Shi, Zhensheng, 2020. "An integrated assessment system for shale gas resources associated with graptolites and its application," Applied Energy, Elsevier, vol. 262(C).
  • Handle: RePEc:eee:appene:v:262:y:2020:i:c:s0306261920300362
    DOI: 10.1016/j.apenergy.2020.114524
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920300362
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2020.114524?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. Cooper, Jasmin & Stamford, Laurence & Azapagic, Adisa, 2018. "Economic viability of UK shale gas and potential impacts on the energy market up to 2030," Applied Energy, Elsevier, vol. 215(C), pages 577-590.
    2. Chen, Yuntian & Jiang, Su & Zhang, Dongxiao & Liu, Chaoyang, 2017. "An adsorbed gas estimation model for shale gas reservoirs via statistical learning," Applied Energy, Elsevier, vol. 197(C), pages 327-341.
    3. Wang, Ke & Li, Haitao & Wang, Junchao & Jiang, Beibei & Bu, Chengzhong & Zhang, Qing & Luo, Wei, 2017. "Predicting production and estimated ultimate recoveries for shale gas wells: A new methodology approach," Applied Energy, Elsevier, vol. 206(C), pages 1416-1431.
    4. Zou, Youqin & Yang, Changbing & Wu, Daishe & Yan, Chun & Zeng, Masun & Lan, Yingying & Dai, Zhenxue, 2016. "Probabilistic assessment of shale gas production and water demand at Xiuwu Basin in China," Applied Energy, Elsevier, vol. 180(C), pages 185-195.
    5. Chang, Yuan & Huang, Runze & Ries, Robert J. & Masanet, Eric, 2014. "Shale-to-well energy use and air pollutant emissions of shale gas production in China," Applied Energy, Elsevier, vol. 125(C), pages 147-157.
    6. Weijermars, Ruud, 2013. "Economic appraisal of shale gas plays in Continental Europe," Applied Energy, Elsevier, vol. 106(C), pages 100-115.
    7. Yuan, Jiehui & Luo, Dongkun & Feng, Lianyong, 2015. "A review of the technical and economic evaluation techniques for shale gas development," Applied Energy, Elsevier, vol. 148(C), pages 49-65.
    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. Wenhao Li & Xiuzhe Wang & Min Wang & Erqiang Yang, 2022. "Organic Petrological Characteristics of Graptolite and Its Contribution to Buried Organic Carbon of Longmaxi Formation Shales, Middle Yangtze Region," Energies, MDPI, vol. 15(7), pages 1-12, March.
    2. Shi, Wenrui & Zhang, Chaomo & Jiang, Shu & Liao, Yong & Shi, Yuanhui & Feng, Aiguo & Young, Steven, 2022. "Study on pressure-boosting stimulation technology in shale gas horizontal wells in the Fuling shale gas field," Energy, Elsevier, vol. 254(PB).
    3. Shuda Zhao & Hongji Liu & Enyuan Jiang & Nan Zhao & Chaohua Guo & Baojun Bai, 2022. "Study on Apparent Permeability Model for Gas Transport in Shale Inorganic Nanopores," Energies, MDPI, vol. 15(17), pages 1-14, August.

    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. Jin, Xu & Wang, Xiaoqi & Yan, Weipeng & Meng, Siwei & Liu, Xiaodan & Jiao, Hang & Su, Ling & Zhu, Rukai & Liu, He & Li, Jianming, 2019. "Exploration and casting of large scale microscopic pathways for shale using electrodeposition," Applied Energy, Elsevier, vol. 247(C), pages 32-39.
    2. 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.
    3. Li, Jing & Wu, Keliu & Chen, Zhangxin & Wang, Wenyang & Yang, Bin & Wang, Kun & Luo, Jia & Yu, Renjie, 2019. "Effects of energetic heterogeneity on gas adsorption and gas storage in geologic shale systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. 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).
    5. 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).
    6. Wang, Ke & Li, Haitao & Wang, Junchao & Jiang, Beibei & Bu, Chengzhong & Zhang, Qing & Luo, Wei, 2017. "Predicting production and estimated ultimate recoveries for shale gas wells: A new methodology approach," Applied Energy, Elsevier, vol. 206(C), pages 1416-1431.
    7. Ahn, Yuchan & Kim, Junghwan & Kwon, Joseph Sang-Il, 2020. "Optimal design of supply chain network with carbon dioxide injection for enhanced shale gas recovery," Applied Energy, Elsevier, vol. 274(C).
    8. Huang, Liang & Ning, Zhengfu & Wang, Qing & Zhang, Wentong & Cheng, Zhilin & Wu, Xiaojun & Qin, Huibo, 2018. "Effect of organic type and moisture on CO2/CH4 competitive adsorption in kerogen with implications for CO2 sequestration and enhanced CH4 recovery," Applied Energy, Elsevier, vol. 210(C), pages 28-43.
    9. Andres Soage & Ruben Juanes & Ignasi Colominas & Luis Cueto-Felgueroso, 2024. "Optimization of Financial Indicators in Shale-Gas Wells Combining Numerical Decline Curve Analysis and Economic Data Analysis," Energies, MDPI, vol. 17(4), pages 1-25, February.
    10. Kim, Tae Hong & Cho, Jinhyung & Lee, Kun Sang, 2017. "Evaluation of CO2 injection in shale gas reservoirs with multi-component transport and geomechanical effects," Applied Energy, Elsevier, vol. 190(C), pages 1195-1206.
    11. Zou, Youqin & Yang, Changbing & Wu, Daishe & Yan, Chun & Zeng, Masun & Lan, Yingying & Dai, Zhenxue, 2016. "Probabilistic assessment of shale gas production and water demand at Xiuwu Basin in China," Applied Energy, Elsevier, vol. 180(C), pages 185-195.
    12. Li, Yanbin & Li, Yun & Wang, Bingqian & Chen, Zhuoer & Nie, Dan, 2016. "The status quo review and suggested policies for shale gas development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 420-428.
    13. Yuan, Jiehui & Luo, Dongkun & Xia, Liangyu & Feng, Lianyong, 2015. "Policy recommendations to promote shale gas development in China based on a technical and economic evaluation," Energy Policy, Elsevier, vol. 85(C), pages 194-206.
    14. Chen, Yuntian & Jiang, Su & Zhang, Dongxiao & Liu, Chaoyang, 2017. "An adsorbed gas estimation model for shale gas reservoirs via statistical learning," Applied Energy, Elsevier, vol. 197(C), pages 327-341.
    15. Hong, Bingyuan & Li, Xiaoping & Song, Shangfei & Chen, Shilin & Zhao, Changlong & Gong, Jing, 2020. "Optimal planning and modular infrastructure dynamic allocation for shale gas production," Applied Energy, Elsevier, vol. 261(C).
    16. Kant, Michael A. & Rossi, Edoardo & Duss, Jonas & Amann, Florian & Saar, Martin O. & Rudolf von Rohr, Philipp, 2018. "Demonstration of thermal borehole enlargement to facilitate controlled reservoir engineering for deep geothermal, oil or gas systems," Applied Energy, Elsevier, vol. 212(C), pages 1501-1509.
    17. Liu, Haomin & Zhang, Zaixu & Zhang, Tao, 2022. "Shale gas investment decision-making: Green and efficient development under market, technology and environment uncertainties," Applied Energy, Elsevier, vol. 306(PA).
    18. You, Xu-Tao & Liu, Jian-Yi & Jia, Chun-Sheng & Li, Jun & Liao, Xin-Yi & Zheng, Ai-Wei, 2019. "Production data analysis of shale gas using fractal model and fuzzy theory: Evaluating fracturing heterogeneity," Applied Energy, Elsevier, vol. 250(C), pages 1246-1259.
    19. Devine, Mel T. & Russo, Marianna, 2019. "Liquefied natural gas and gas storage valuation: Lessons from the integrated Irish and UK markets," Applied Energy, Elsevier, vol. 238(C), pages 1389-1406.
    20. Zhou, Yuanchun & Ma, Mengdie & Gao, Peiqi & Xu, Qiming & Bi, Jun & Naren, Tuya, 2019. "Managing water resources from the energy - water nexus perspective under a changing climate: A case study of Jiangsu province, China," Energy Policy, Elsevier, vol. 126(C), pages 380-390.

    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:appene:v:262:y:2020:i:c:s0306261920300362. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.