Journal of Northeastern University ›› 2013, Vol. 34 ›› Issue (3): 429-432.DOI: -

• Resources & Civil Engineering • Previous Articles     Next Articles

Grey Fuzzy Evaluation of CBM Development and Area Selection

CHEN Tianyu1, FENG Xiating1,2, LIANG Bing3, SUN Weiji3   

  1. 1. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China; 2. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; 3. School of Mechanics & Engineering, Liaoning Technical University, Fuxin 123000, China.
  • Received:2012-09-03 Revised:2012-09-03 Online:2013-03-15 Published:2013-01-26
  • Contact: CHEN Tianyu
  • About author:-
  • Supported by:
    -

Abstract: The weights of evaluation indexes were confirmed by grey correlation analysis. Singlefactor fuzzy evaluation was determined by multistage and trapezoid membership function. Fuzzy comprehensive evaluation model for the feasibility study of CBM development was established. Based on the fuzzy comprehensive evaluation model CBMES (coal bed methane evaluation system) was developed by using Matlab, and it was employed to evaluate the CBM development feasibilities of seven main coalfields in Liaoning Province. According to the evaluation results, the weights of coal permeability and methane content are higher. Other indices, such as thickness of coal bed, coal rank, resource capacity, resources abundance, coal bed pressure, and burial depth are ranked in descending weight order. The feasibility of CBM development ranked in descending order is:Fuxin coal field, Tiefa coal field, Fushun coal field, Hongyang coal field, Shenbei coal field, Kangping coal field, and Nanpiao coal field. The results are in agreement with the in situ condition, which shows the rationality of fuzzy comprehensive evaluation model for the CBM development feasibility.

Key words: CBM(coal bed methane), ground development, area selection, grey analysis, fuzzy comprehensive evaluation

CLC Number: