Natural Gas Geoscience ›› 2020, Vol. 31 ›› Issue (11): 1628-1636.doi: 10.11764/j.issn.1672-1926.2020.05.010

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TOC calculation model of source rocks: Case study from Taiyuan-Shanxi formations in Ordos Basin

Rui LIU(),Shao-bin GUO(),Ji-yuan WANG   

  1. (China University of Geosciences(Beijing),Beijing 100083,China )
  • Received:2020-03-23 Revised:2020-05-08 Online:2020-11-10 Published:2020-11-24
  • Contact: Shao-bin GUO E-mail:3006170010@cugb.edu.cn;guosb58@126.com

Abstract:

Over the years, domestic and foreign scholars have been committed to the evaluation and research of conventional and unconventional oil and gas resource source rocks. The evaluation of source rocks is inseparable from the type, abundance, maturity and thickness of organic matter. The key parameter for the study of organic matter abundance is the calculation of Total Organic Carbon (TOC). Using logging data can first qualitatively and then quantitatively evaluate source rocks. The source rock rich in organic matter is shown on the conventional logging curves as: high radioactivity, low compensation density (DEN), high acoustic time (AC), high compensation neutron (CNL), high resistivity (Rt), etc. This study integrated the Thorium (Th), Uranium (U) measured by natural gamma spectroscopy logging, AC and Rt curves of Permian Taiyuan-Shanxi formations source rocks in Ordos Basin of China. Based on Th/U combined with △LogR model, the TOC calculation model was determined according to the multiple regression research method. The model was used to calculate the TOC of the Taiyuan-Shanxi formations in Well Y88, and the calculation results were compared with the core analysis. It was found that the absolute error was mostly less than 0.5. The model can be extended and applied to other wells, and the processing results are within the allowable error range. The model has a strong applicability and reliability.

Key words: Source rocks, Total organic carbon, Calculation method, Ordos BasinFoudation item:The National Science and Technology Major Project (Grant No. 2016ZX05034-001).

CLC Number: 

  • TE122.1+13
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