IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i6p2905-d1103602.html
   My bibliography  Save this article

An Improved Method to Accurately Estimate TOC of Shale Reservoirs and Coal-Measures

Author

Listed:
  • Menglei Li

    (College of Geophysics and Petroleum Resources, Yangtze University, Wuhan 430100, China
    Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China)

  • Chaomo Zhang

    (College of Geophysics and Petroleum Resources, Yangtze University, Wuhan 430100, China
    Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China)

Abstract

Total organic carbon content is the important parameter in determining the quality of hydrocarbon source rocks. To accurately evaluate the TOC parameters of shale reservoirs and coal-measure shale reservoirs, the method to improve the accuracy of a reservoir TOC parameter calculation is investigated using the continental shale A1 well, the marine shale B1 well, and the marine-continental transitional shale C1 well as examples. Each of the three wells characterize a different paleoenvironmental regime. The ∆log R method based on natural gamma spectroscopy logging is proposed to calculate the TOC of shale reservoirs, and the dual ∆log R method based on natural gamma spectroscopy logging is proposed to calculate the TOC of coal-measure shale reservoirs. The results show that the proposed new method can reduce the absolute error by about 0.06~7.34 and the relative error by about 6.75~451.54% in the TOC calculation of three wells. The new method greatly expands the applicability of the ∆log R method and can effectively assist in the exploration and development of shale and coal-measure shale reservoirs.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2905-:d:1103602
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/6/2905/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/6/2905/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    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. Hanwen Zheng & Zhansong Zhang & Jianhong Guo & Sinan Fang & Can Wang, 2024. "Numerical Simulation Study on the Influence of Cracks in a Full-Size Core on the Resistivity Measurement Response," Energies, MDPI, vol. 17(6), pages 1-18, March.

    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. 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.
    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. 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).
    4. 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).
    5. 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).
    6. 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.
    7. Zhou, Guangzhao & Guo, Zanquan & Sun, Simin & Jin, Qingsheng, 2023. "A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction," Applied Energy, Elsevier, vol. 344(C).
    8. 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).
    9. Li, Jinbu & Wang, Min & Jiang, Chunqing & Lu, Shuangfang & Li, Zheng, 2022. "Sorption model of lacustrine shale oil: Insights from the contribution of organic matter and clay minerals," Energy, Elsevier, vol. 260(C).
    10. Huang, Danchao & Li, Xin & Bai, Yang & Xie, Gang & Chen, Shilin & Chen, Hong & Zhang, Jian & Liang, Renxin & Luo, Pingya, 2023. "Structure-activity relationships for hydration inhibition and environmental protection with modified branched polyethyleneimine: Experiments and simulations," Energy, Elsevier, vol. 284(C).
    11. Xie, Yetong & Li, Jing & Liu, Huimin & Zhang, Kuihua & Li, Junliang & Li, Chuanhua & Zhu, Rui, 2023. "Study on hydro-mechanical-damage coupling seepage in digital shale cores: A case study of shale in Bohai Bay Basin," Energy, Elsevier, vol. 268(C).
    12. Wei, Zhaohao & Chai, Jian & Dong, Jichang & Lu, Quanying, 2022. "Understanding the linkage-dependence structure between oil and gas markets: A new perspective," Energy, Elsevier, vol. 257(C).
    13. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    14. Yang, Qingchun & Yang, Qing & Xu, Simin & Zhang, Dawei & Liu, Chengling & Zhou, Huairong, 2021. "Optimal design, exergy and economic analyses of coal-to-ethylene glycol process coupling different shale gas reforming technologies," Energy, Elsevier, vol. 228(C).
    15. Li, Dafang & Sun, Weifu & Luo, Zhenmin, 2023. "Methane deflagration promoted by enhancing ignition efficiency via hydrogen doping, with a view to fracturing shales," Energy, Elsevier, vol. 282(C).
    16. Xie, Yetong & Liu, Huimin & Zhang, Kuihua & Jia, Wenhua & Li, Jing & Meng, Xiaoyu, 2023. "Dynamic evaluation of microscopic damage and fluid flow behavior in reservoir shale under deviatoric stress," Energy, Elsevier, vol. 283(C).
    17. Lv, Xin & Liu, Tianyu & Dong, Weijia & Su, Wenjun, 2023. "The market value of green innovation: A comparative analysis of global renewable energy firms," Finance Research Letters, Elsevier, vol. 51(C).
    18. M. S. Liew & Kamaluddeen Usman Danyaro & Noor Amila Wan Abdullah Zawawi, 2020. "A Comprehensive Guide to Different Fracturing Technologies: A Review," Energies, MDPI, vol. 13(13), pages 1-20, June.
    19. Sun, Hai & Li, Tianhao & Li, Zheng & Fan, Dongyan & Zhang, Lei & Yang, Yongfei & Zhang, Kai & Zhong, Junjie & Yao, Jun, 2023. "Shale oil redistribution-induced flow regime transition in nanopores," Energy, Elsevier, vol. 282(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:16:y:2023:i:6:p:2905-:d:1103602. 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.