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Tao Chuanqi Wang Yanbin Ni Xiaoming Zhang Chongchong Ma Ting, . Prediction model of coal-body structure and spatial distibution law based on logging parameters[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (2).
Citation: Tao Chuanqi Wang Yanbin Ni Xiaoming Zhang Chongchong Ma Ting, . Prediction model of coal-body structure and spatial distibution law based on logging parameters[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (2).
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Prediction model of coal-body structure and spatial distibution law based on logging parameters

  • College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beiing) School of Energy Science and Engineering, Henan Polytechnic University

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  • Available Online: April 02, 2023
  • Published Date: February 24, 2017
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    • Abstract
  • In order to make quantitative and accurate forecast of coal-body structure about its spatial distribution, making a macroscopic description and quantitativ e characterization on coal-body structure by introducing coal Geology Strength Index (GSI) concept, the relationship between quantitative characterization of coal-body structure and logging parameters were analyzed, based on coalbed methane well loggings and drilling data in northern Shizhuang Area of Qinshui Basin.Logging param eters were chosen, such as volume density, gamma, hole diameter, interval transit time, resistivity. Then the forecast model of coal-body structure was built by means of multi-factor regression analysis, and a contrast verification was made between prediction model and coring coal-body structure. Coal-body structure of single wells were divided and the spatial distribution law was announced in northern Shizhuang Area.The results showed that the forecast model of coal-body structure was reliable, base d on logging parameters.It could provide guidance for coalbed methane reservoir reconstruction.
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