China Safety Science Journal ›› 2019, Vol. 29 ›› Issue (11): 26-31.doi: 10.16265/j.cnki.issn1003-3033.2019.11.005

• Safety Systematology • Previous Articles     Next Articles

Prediction model of spontaneous combustion risk of extraction drilling based on improved CRITIC modified G2-TOPSIS method and its application

WANG Wei1,2, JIA Baoshan1,2, QI Yun1,2   

  1. 1 College of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning 123000, China;
    2 Key Laboratory of Mine Thermodynamic Disasters Prevention and Control of Ministry of Education, Liaoning Technical University, Huludao Liaoning 125100, China
  • Received:2019-07-25 Revised:2019-09-15 Published:2020-10-30

Abstract: Considering it is difficult to determine index weight in evaluation model of spontaneous combustion risk of gas extraction drilling, an improved G2 weighting method based on CRITIC was proposed. Firstly, Euclidean distance function was introduced to establish an optimal decision-making model and CRITIC's "differential-driven" type weighting method was used to modify "function-driven" G2 weighting method. Secondly, comprehensive weight of each index was obtained, and primary and secondary relationship of risk factors that influence drilling spontaneous combustion was evaluated. Then G2-TOPSIS extraction drilling self-ignition risk assessment model was constructed based on TOPSIS "driving function" G2 weighting method, degree of closeness was analyzed, and risk level was predicted. Finally, this model was applied to gas extraction drilling of 1303 working face in Jinniu Coal Mine. The results show that temperature difference of coal oxidation-reduction ignition point was the dominant factor for extraction drilling spontaneous combustion which is rated as Class III, and prediction results of this model are consistent with actual situation.

Key words: gas extraction, prediction of drilling spontaneous combustion, comprehensive weight, criteria importance through intercriteria correlation (CRITIC) method, G2-technique for order preference by similarity to ideal solution (TOPSIS) evaluation model

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