2023
DOI: 10.3389/fenrg.2022.1096539
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Prediction of coal seam gas content based on the correlation between gas basic parameters and coal quality indexes

Abstract: The measurement of gas content in coal seam by means of indirect method involves heavy workload, long period, high cost and complicated operation and a proneness of negative values in the process of measuring gas absorption constant. To address these problems, the gas basic parameters and coal quality indexes of 90 coal samples from 90 coal mines in 13 provinces of China are determined experimentally in this paper. The intrinsic relationship between gas adsorption constant a and atmospheric adsorption capacity… Show more

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Cited by 5 publications
(4 citation statements)
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“…For example, a two-dimensional curve characterized by the relationship between the methane concentration and distance S at different times, as well as the methane concentration change over time at different positions, is insufficiently representative (see Figure 2 in [26]) owing to the deformation of a three-dimensional surface when it is projected onto a two-dimensional plane. This conceptual imperfection in the methodological approach does not allow for adequately Spatial analysis of heterogeneous data remains one of the most difficult tasks of predicting the distribution of the response function over the factor space [52], solved using different approaches: fuzzy logic in MATLAB fuzzy logic [53]; stochastic modeling [54][55][56]; wavelet analysis with the Morlet algorithm (CWT) [57,58]; analytical methods based on using trigonometric relationships for quadratic surfaces [59]; nearest neighbor method [60]; inverse weighted distance (IDW) method [61]; multivariate nonlinear regression in SPSS software, www.ibm.com/spss [62]; and machine learning [63], fuzzy cognitive map (FCM) [64], or artificial neural networks (ANN) [65], using GIS technologies-crunching methods [66][67][68]. At the same time, deterministic methods of three-dimensional data interpolation have not lost their relevance [69].…”
Section: Methodsmentioning
confidence: 99%
“…For example, a two-dimensional curve characterized by the relationship between the methane concentration and distance S at different times, as well as the methane concentration change over time at different positions, is insufficiently representative (see Figure 2 in [26]) owing to the deformation of a three-dimensional surface when it is projected onto a two-dimensional plane. This conceptual imperfection in the methodological approach does not allow for adequately Spatial analysis of heterogeneous data remains one of the most difficult tasks of predicting the distribution of the response function over the factor space [52], solved using different approaches: fuzzy logic in MATLAB fuzzy logic [53]; stochastic modeling [54][55][56]; wavelet analysis with the Morlet algorithm (CWT) [57,58]; analytical methods based on using trigonometric relationships for quadratic surfaces [59]; nearest neighbor method [60]; inverse weighted distance (IDW) method [61]; multivariate nonlinear regression in SPSS software, www.ibm.com/spss [62]; and machine learning [63], fuzzy cognitive map (FCM) [64], or artificial neural networks (ANN) [65], using GIS technologies-crunching methods [66][67][68]. At the same time, deterministic methods of three-dimensional data interpolation have not lost their relevance [69].…”
Section: Methodsmentioning
confidence: 99%
“…Coal measures refer to the special rock formations composed of sedimentary rocks that contain coal seams or coal lines [1]. These rock formations are mainly formed in the interplay of land and sea or in a terrestrial environment, often appearing in residual basins with different structural properties [2].…”
Section: Introductionmentioning
confidence: 99%
“…Sam et al [11] said key factors affecting gas content variability include gas generation, coal properties, and reservoir conditions. Dai et al [1] investigated how gas basic parameters and coal quality indexes affect the sorption capacity of coalbed methane. Li et al [12] analyzed the effects of porosity and permeability on the quality of coalbed methane reservoirs.…”
Section: Introductionmentioning
confidence: 99%
“…Coal seam gas content is a key parameter in the exploration and development of coalbed methane resources, which can effectively predict the occurrence of protrusion, examine the effectiveness of regional antisurge, and evaluate the degree of coal mine gas hazard. The methods of coal bed gas content determination are divided into direct method and indirect method. , The process of the indirect method to determine coal seam gas content is complicated, the measurement period is long, and the success rate is low, so the direct method is mostly used to measure coal seam gas content underground in China. The direct method of measuring coal seam gas content mainly includes three parts: determination of gas desorption in underground coal samples, determination of residual gas in a laboratory, and extrapolation of gas loss during sampling, of which the first two parts can be measured according to relevant requirements, and the results are real and reliable.…”
Section: Introductionmentioning
confidence: 99%