WANG Panpan, QIN Yong, GAO Di. Grey relational prediction of coalbed methane content in Guanyinshan exploration district[J]. COAL GEOLOGY & EXPLORATION, 2012, 40(4): 34-38. DOI: 10.3969/j.issn.1001-1986.2012.04.008
Citation: WANG Panpan, QIN Yong, GAO Di. Grey relational prediction of coalbed methane content in Guanyinshan exploration district[J]. COAL GEOLOGY & EXPLORATION, 2012, 40(4): 34-38. DOI: 10.3969/j.issn.1001-1986.2012.04.008

Grey relational prediction of coalbed methane content in Guanyinshan exploration district

More Information
  • Received Date: June 23, 2011
  • Available Online: October 26, 2021
  • Gas content, one of the key indicators used to measure CBM-reservoiring effect, controlled by a variety of geological factors, is often difficult to predict. Taking the Guanyinshan exploration district as a case, the authors identified the main geological controlling factors of CBM content with the gray degree related method, and established GM (1, N) and GM (1,1) models for the gas content prediction in succession in the paper. Further analysis revealed that the burial depth of coal seams, sandstone thickness within 5 meters of roof and roof lithology are key to gas content in the exploration district, and that the GM (1,1) model established from the residual empennage sequence has higher prediction accuracy.
  • Related Articles

    [1]CHEN Tao, ZHANG Zhansong, ZHOU Xueqing, GUO Jianhong, XIAO Hang, TAN Chenyang, QIN Ruibao, YU Jie. Prediction model of coalbed methane content based on well logging parameter optimization[J]. COAL GEOLOGY & EXPLORATION, 2021, 49(3): 227-235, 243. DOI: 10.3969/j.issn.1001-1986.2021.03.029
    [2]HUAI Yinchao, ZHANG Ming, XIA Zhaohui, LIU Bobiao, WANG Xin. Coalbed methane gas content prediction by compound parameter model in S block of Australia[J]. COAL GEOLOGY & EXPLORATION, 2018, 46(1): 159-164. DOI: 10.3969/j.issn.1001-1986.2018.01.027
    [3]HUANG Huan, LIU Qisheng, JI Yadong. Prediction of mine water inflow through equal-dimension gray filling dynamic GM(1,1) model based on R/S analysis[J]. COAL GEOLOGY & EXPLORATION, 2016, 44(6): 92-95,100. DOI: 10.3969/j.issn.1001-1986.2016.06.017
    [4]ZHOU Xinlong, TANG Jing, SHI Biming, LYU Chen. Analysis and forecast of influential factors of gas content in deep coal seam on the basis of the grey entropy[J]. COAL GEOLOGY & EXPLORATION, 2016, 44(2): 19-23,28. DOI: 10.3969/j.issn.1001-1986.2016.02.004
    [5]CHU Chengcheng, YANG Binbin. Application of gray theory in the prediction of coal mine water discharge[J]. COAL GEOLOGY & EXPLORATION, 2012, 40(2): 55-58. DOI: 10.3969/j.issn.1001-1986.2012.02.013
    [6]TIAN Min, ZHAO Yong-jun, ZHUANSUN Peng-cheng. Application of grey system theory in prediction of coalbed methane content[J]. COAL GEOLOGY & EXPLORATION, 2008, 36(2): 24-27.
    [7]LI Gui-hong, ZHANG Hong, CUI Yong-jun, ZHANG Pei-he, DONG Min-tao. A predictive model of gas content in coal reservoirs based on multiple stepwise regression analysis: a case study from Qinshui Basin[J]. COAL GEOLOGY & EXPLORATION, 2005, 33(3): 22-25.
    [8]WANG Sheng-quan. The prediction of gas emission from combined mining face of the mine with coal and oil-gas symbiosis association[J]. COAL GEOLOGY & EXPLORATION, 2003, 31(3): 13-16.
    [9]JIAO Si-hong, QIN Yong, QU Yong-hua. A new dynamic forecast model of coalbed methane production[J]. COAL GEOLOGY & EXPLORATION, 2001, 29(2): 28-30.
    [10]Li Jiebin. THE PERFORMANCE DESIGN OF MT-1 TYPE COAL AND ROCK COMMUNICATION EQUIPMENT AND COMMUNICATION DISTANCE[J]. COAL GEOLOGY & EXPLORATION, 1998, 26(2): 65-68.

Catalog

    Article Metrics

    Article views (128) PDF downloads (3) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return