# Research on an Equivalent Algorithm for Predicting Gas Content in Deep Coal Seams
###### Abstract  
This document introduces a novel equivalent algorithm for forecasting gas content within deep coal seams, which is subject to constraints stemming from the advancements and precision achieved in well and roadway engineering endeavors. This algorithm meticulously acknowledges that coal seam gas content comprises three fundamental components: the inherent gas emission rate of the equivalent stratum, the residual gas content retained within the coal seam itself, and the influence imparted by the gas content within the coal seam. Furthermore, the approach thoroughly considers variations in the level of porosity development within the coal seam and its surrounding rock formations, as well as the occurrence of gas within these structures. The equivalent layer is classified into two distinct groups: the sandstone zone and the clay zone. The sandstone zone utilizes pertinent parameters pertaining to fine sandstone, whereas the clay zone distinguishes between clay rock and thick mudstone. The influencing factor considerations solely encompass natural elements, such as the coal seam's occurrence and geological structure. The residual gas content employs either existing measured parameters or acknowledged experimental parameters specific to the coal seam. Based on this predictive approach, an intelligent auxiliary software (V1.0) for mine gas forecasting was devised. The software calculates the gas content of deep coal seams within the mine at intervals of 100 m \(\times\) 100 m, subsequently fitting the contour lines of gas content across the entire area. The gas content predictions derived from this equivalent algorithm demonstrate robust adaptability to variations in gas content caused by construction activities, and the prediction results exhibit an acceptable level of error on-site. Notably, the prediction process is not constrained by the progress of tunnel engineering, ensuring that the prediction outcomes can accurately represent the distribution characteristics of deep coal seam gas content. After a year of application, the prediction results have consistently met on-site requirements, providing a scientific foundation for the implementation of effective gas prevention and control measures in the mining area. Furthermore, this approach can effectively guide the formulation of medium- and long-term gas prevention and control plans for mines. synthesis algorithm; deep coal seams; gas content forecast +
Footnote †: journal: Applied Sciences  
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efforts have been directed towards enhancing the efficiency of CBM extraction, thereby ensuring the safe and efficient operation of coal mines [1]. In the design of gas drainage, the method of gas drainage must be taken into careful consideration. Numerous studies have been conducted to investigate the permeability of coal and rock, which is a crucial aspect in determining effective gas drainage strategies [2; 3; 4; 5; 6; 7; 8; 9]. The gas content is a crucial influencing factor in coal-gas outbursts. A number of studies have been conducted with the aim of devising novel methods for the prevention and prediction of such occurrences. Certain scholars have conducted research on the correlation between the gas content and the coal structure [10]. The findings of these studies indicate that coal seams located in regions with more extensive coal structural damage exhibit higher levels of gas content. The primary methodologies utilized for forecasting the gas content within coal seams encompass the direct measurement approach [11; 12; 13; 14; 15] as well as the quantitative theoretical algorithm [16; 17; 18; 19; 20; 21; 22]. The former necessitates a significant number of on-site drilling projects, and its predictive scope is inherently restricted by the advancement of current tunnel engineering endeavors.