Research Status and Prospects of Coal Seam Gas Content Prediction Based on Mathematical Model

Abstract

Abstract. The coal seam gas content is the base of coal mine gas reserves calculation, but also is the important index to forecast the gas emission and evaluate the coal and gas outburst danger. The paper summarizes the current widely used mathematical models to predict the coal seam gas content, and focuses on the research progress of the regression analysis model, the artificial neural network model, the support vector machine models, and so on. On this basis, the shortcomings and the urgent problems of gas content prediction mathematical model were analyzed and prospected. It could provide more simple and applicable method for the coal seam gas drainage, gas emission prediction, coal and gas outburst prediction and so on.

Prediction of gas pressure in thin coal seams in the Qinglong Coal Mine in Guizhou Province, China

“…In practice, the gas occurrence law in mining areas must be predicted. Through the pre-analysis of the main influencing factors of gas content or pressure, the analytic algorithm, multiple linear regression (MLR), artificial neural networks, and other methods can achieve satisfactory results (Wei et al 2009;Dai 2016;Li et al 2019;Wang et al 2019). Some scholars use geostatistics method to estimate the gas content of coal seam under GIS environment, which also has a certain effect (Vaziri et al 2015).…”