China Safety Science Journal ›› 2018, Vol. 28 ›› Issue (4): 122-127.doi: 10.16265/j.cnki.issn1003-3033.2018.04.021

• Safety Science of Engineering and Technology • Previous Articles     Next Articles

Analysis of potential electrode system logging response features of tectonic coal

LIU Yong1,2,3, CUI Hongqing1,2,3, YUAN Dongsheng1,2   

  1. 1 School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo Henan 454003,China
    2 Henan Provincial Key Lab of Gas Geology and Gas Control Cultivation Base of Henan Polytechnic University, Jiaozuo Henan 454003, China
    3 Collaborative Innovation Center of Coalbed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo Henan 454003, China
  • Received:2018-01-09 Revised:2018-03-15 Online:2018-04-28 Published:2020-09-28

Abstract: In order to improve the accuracy of tectonic coal identification by means of potential electrode system logging curves,a horizontal three layer rock strata model with tectonic coal as the middle layer was established, and four rock strata structure types and four resistivity relationship types were divided. With the given parameters of drilling and mud-invaded zone, numerical simulations of the resistivity relationship types were made by ANSYS 10.0 software, and morphological features and demarcation points features of numerical simulation resultant curves were analyzed. On the basis of logging curves of No.93 coal seam in Taoshan coal mine tectonic coal identification was made, and the identification results were verified by using cataloging data of tectonic coals in Taoshan coal mine. The results demonstrate that there are four basic curve shapes, crest shape, trough shape, rising-step shape, and dropping-step shape, corresponding to the four resistivity relationship types, and that the maxima nodes(turning points) of the concave arcs could be used as the tectonic coal interfaces reference points on the numerical simulation curves, and the errors are less than a half of the electrode spacing.

Key words: tectonic coal, potential electrode system logging, apparent resistivity, numerical simulation, identification

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