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

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  • 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
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    References listed on IDEAS

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    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).
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    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.

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