Lithologic Reservoirs ›› 2021, Vol. 33 ›› Issue (2): 135-146.doi: 10.12108/yxyqc.20210214

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

Identification method of shale lithofacies by logging curves: a case study from Wufeng-Longmaxi Formation in Jiaoshiba area,SW China

YANG Yang1, SHI Wanzhong1,2, ZHANG Xiaoming1, WANG Ren1,2, XU Xiaofeng1, LIU Yuzuo1, BAI Luheng1, CAO Shenting1, FENG Qian1   

  1. 1. School of Earth Resources, China University of Geosciences(Wuhan), Wuhan 430074, China;
    2. Key Laboratory of Tectonics and Petroleum Resources, Ministry of Education, China University of Geosciences(Wuhan), Wuhan 430074, China
  • Received:2020-05-21 Revised:2020-07-13 Online:2021-04-01 Published:2021-03-31

Abstract: Identification of shale lithofacies is the basis of shale gas exploration and development. Different types of shale have different material components and textures,and thus the brittleness and physical properties are different. At present,the study on shale lithofacies identification by logging curves is relatively weak. Based on logging data and core test data of three wells from Wufeng-Longmaxi Formation in Jiaoshiba area,through multi-parameter optimization and multivariate linear fitting,the prediction equations of relative content of clay minerals and siliceous minerals were established respectively,and the identification method of shale lithofacies by logging curves was discussed. The results show that argillaceous shale lithofacies has the characteristics of high DEN,CNL,K,KTh,and low U,U/Th,the mixed shale lithofacies has the characteristics of middle DEN, CNL,K,KTh,U,U/Th,and siliceous shale lithofacies has the characteristics of high U,U/Th and low DEN, CNL,K,KTh. Furthermore,a radar chart for shale facies identification was established. After corresponding processing,the logging curve values corresponding to different lithofacies have different distribution ranges in the chart. The chart can effectively identify shale lithofacies and correct the lithofacies identified by the prediction equation. The predicted results are in agreement with the measured values. Combining quantitative identification of lithofacies by prediction equation and qualitative identification of lithofacies by radar chart,shale lithofacies of Wufeng-Longmaxi Formation in Jiaoshiba area can be well identified through double constraints.

Key words: shale, lithofacies identification, logging, radar chart, Wufeng-Longmaxi Formation, Jiaoshiba area

CLC Number: 

  • TE122.1
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