ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Georeservoirs
Volume 13 - 2025 | doi: 10.3389/feart.2025.1503798
This article is part of the Research TopicGeophysics and Petrophysics Issues Involved in Unconventional Oil and Gas Development ProcessesView all 11 articles
Logging evaluation method for organic geochemical parameters of shale in Jurassic Lianggaoshan Formation
Provisionally accepted- 1Xinjiang oilfield exploration division, Karamy, China
- 2China Petroleum Group logging Co., LTD, Xinjiang, China
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Black shale is the main source rock of the Jurassic Liangshan Formation shale reservoir in basin A, and its organic geochemical parameters TOC, S1, and S2 are very important for the quantitative evaluation of shale reservoir exploration and development potential. TOC, S1, and S2 logging evaluation methods are established according to the principle of "core calibration logging" because of the possession of logging and core analysis data in basin A. Firstly, improved △logR and multiple regression analysis methods are used to establish a quantitative TOC logging method based on slowness, resistivity, and gamma-ray logging. Secondly, based on acoustic time difference, resistivity, and gamma logging, a quantitative calculation method of S2 is established by multiple regression analysis. Finally, based on the statistical relationship between TOC and (S1+S2) of core analysis and S2 calculation results, a logging method for quantitative calculation of S1 is obtained. The application resultsshow that the TOC calculated based on multiple regression analysis is in good agreement with the TOC of core analysis, with A relative deviation of 9%. The modified △logR method results in a large deviation from the TOC of core analysis due to the influence of the error of coefficient A and overlap coefficient K. The relative deviation of S1 and S2 calculated by logging and S1 and S2 by core analysis is 6% and 7%, which can meet the evaluation requirements of hydrocarbon generation potential of source rocks.
Keywords: Lianggaoshan Formation shale, Logging evaluation, Organic geochemical parameters, Multiple regression analysis, black shale
Received: 29 Sep 2024; Accepted: 17 Apr 2025.
Copyright: © 2025 Gan, Zhang, Fang, Mou, Ni and Chai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Renzhong Gan, Xinjiang oilfield exploration division, Karamy, China
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