Lithologic Reservoirs ›› 2017, Vol. 29 ›› Issue (2): 139-144.doi: 10.3969/j.issn.1673-8926.2017.02.017

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Quantitative identification of coal structure based on coal rock brittleness index by logging data

AI Lin1,2, ZHOU Mingshun3, ZHANG Jie4, LIANG Xiao1,2, QIAN Bowen1,2, LIU Diren1,2   

  1. 1. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China;
    2. Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Wuhan 430100, China;
    3. Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, Hebei, China;
    4. Research Institute of Geophysical Exploration, PetroChina Huabei Oilfield Company, Renqiu 062552, Hebei, China
  • Received:2016-08-29 Revised:2016-10-19 Online:2017-03-21 Published:2017-03-21

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Abstract: An accurate identification of coal structure is one of key issues in coalbed methane(CBM)exploration and development. Different coal structure have different influences on the migration and enrichment of coalbed methane. According to the coal broken degree,the coal structure of No.3 coal bed was divided into primary structure, transition structure and cataclastic structure in F block of Qinshui Basin,and the characteristics of their logging response were analyzed. The results show that the logging curve is usually characterized with lower density and resistivity,and higher borehole diameter and acoustic time as the coal broken degree increases. Based on the qualitative identifying of coal structure by logging data,array acoustic logging data was used to calculate the coal rock brittleness index(BI)quantitatively. The application results show that it is feasible to identify coal structure quantitatively by the coal rock brittleness index,the identification result is consistent with the actual drilling coring data,and it can greatly reduce the error of the qualitative identification.

CLC Number: 

  • P631
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