Lithologic Reservoirs ›› 2022, Vol. 34 ›› Issue (3): 117-130.doi: 10.12108/yxyqc.20220311

• PETROLEUM EXPLORATION • Previous Articles     Next Articles

Sedimentary microfacies division and logging identification of Ordovician Wufeng-Silurian Longmaxi shale in Luzhou area，Sichuan Basin

QIU Chen1, YAN Jianping1,2, ZHONG Guanghai3, LI Zhipeng4, FAN Cunhui1,2, ZHANG Yue5, HU Qinhong6, HUANG Yi7   

  1. 1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China;
    2. State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China;
    3. Shale Gas Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610500, China;
    4. Research Institute of Exploration and Development, Shengli Oilfield Company, Sinopec, Dongying 257015, Shandong, China;
    5. Hebei Institute of Geophysical Exploration, Langfang 065000, Hebei, China;
    6. Department of Earth and Environmental Sciences, University of Texas at Arlington, Arlington, TX 76019, USA;
    7. Southwest Branch, CNPC Logging Company Limited, Chongqing 400021, China
  • Received:2021-09-13 Revised:2021-11-28 Online:2022-05-01 Published:2022-05-12

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Abstract: Based on the data of XRD，physical properties，thin section， geochemistry and well logging，the microfacies subdivision of Ordovician Wufeng-Silurian Longmaxi shale in Luzhou area of southern Sichuan Basin was carried out，and the logging response characteristics and identification methods were defined. The results show that： （1）The microfacies of shale in Luzhou area can be subdivided into five categories and eight sub categories. Among them，the strong reduction rich organic matter and silicon-rich deep-water shelf facies is the best microfacies subdivision type with the characteristics of good physical properties and high contents of gas，TOC and brittle minerals，which is mainly distributed in the lower sublayer of Long-11 submember.（2）Using seven sensitive curves such as KTH，GR，Th， AC，CNL，DTS and Th/U，the microfacies subdivision types divided by the Bayesian discrimination method based on K-means are consistent with coring results with a coincidence rate greater than 90.0%.

Key words: deep shale gas, microfacies subdivision, logging identification, Bayesian discriminant method, sweet spot prediction, Ordovician Wufeng- Silurian Longmaxi Formation, Luzhou area, Sichuan Basin

CLC Number: 

  • TE122
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