The evaluation of potential for the exploration and development of coalbed methane resources based on an improved uncertainty measure optimization model

Abstract

The recognition criteria of credible degree in uncertainty measure theory are improved based on the concept of distance discriminant and used to evaluate the potential for exploration and development of coalbed methane. This paper uses a systematic approach to establish a mathematical model based on entropy weight and improved uncertainty measure theory. In this model, uncertainty influence factors were analyzed qualitatively and quantitatively using data for the Muli coalfield of Qinghai province, China. The uncertainty measure function is based on experimental data, and the weight of index is determined by entropy weight theory. Optimization credible degree recognition criteria were used to evaluate the potential for coalbed methane exploration and development of six mines in the Muli coalfield. These data indicate that evaluation results obtained using entropy weight and improved uncertainty measure theory have practical application and can effectively assess the exploration and development potential of coalbed methane in a coal basin.