Experimental Study on Rapid Determination Method of Coal Seam Gas Content by Indirect Method
In view of the problems of heavy work, long cycle, high cost and low efficiency in the process of indirect determination of coal seam gas content, the basic gas parameters and coal quality indexes of 24 coal samples from 5 coal mines in the Hancheng area of Shanxi Province are measured by the labora...
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| Veröffentlicht in: | Processes 2023-03, Vol.11 (3), p.925 |
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| creator | Lei, Hongyan Dai, Linchao Cao, Jie Li, Rifu Wang, Bo |
| description | In view of the problems of heavy work, long cycle, high cost and low efficiency in the process of indirect determination of coal seam gas content, the basic gas parameters and coal quality indexes of 24 coal samples from 5 coal mines in the Hancheng area of Shanxi Province are measured by the laboratory measurement method. The raw coal gas content–gas desorption index of drilling cuttings (W–K1) relationship model is characterized by logarithmic function. Using SPSS data analysis software, a stepwise multiple linear regression method is used for statistical analysis. The results show that the factors that have a significant impact on the regression slope C in the W–K1 relationship model are gas adsorption constant (a), apparent density (ARD), initial velocity of gas diffusion (Δp) and consistent coefficient (f). The factors that have a significant impact on the regression constant D are Δp and atmospheric adsorption (Q). Then, the mathematical model of rapid prediction of coal seam gas content is determined. Compared with the measured values, the average absolute error rate is 12.84%, which meets the prediction requirements and provides a simple and easy method for rapid determination of coal seam gas content in coal mines in the Hancheng area. |
| doi_str_mv | 10.3390/pr11030925 |
| format | Article |
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The raw coal gas content–gas desorption index of drilling cuttings (W–K1) relationship model is characterized by logarithmic function. Using SPSS data analysis software, a stepwise multiple linear regression method is used for statistical analysis. The results show that the factors that have a significant impact on the regression slope C in the W–K1 relationship model are gas adsorption constant (a), apparent density (ARD), initial velocity of gas diffusion (Δp) and consistent coefficient (f). The factors that have a significant impact on the regression constant D are Δp and atmospheric adsorption (Q). Then, the mathematical model of rapid prediction of coal seam gas content is determined. Compared with the measured values, the average absolute error rate is 12.84%, which meets the prediction requirements and provides a simple and easy method for rapid determination of coal seam gas content in coal mines in the Hancheng area.</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr11030925</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Adsorption ; Analysis ; Bulk density ; Coal ; Coal gas ; Coal industry ; Coal mines ; Coal mining ; Data analysis ; Density ; Drilling ; Error analysis ; Gaseous diffusion ; Laboratories ; Mathematical models ; Measurement methods ; Methods ; Mines ; Regression ; Regression analysis ; Statistical analysis</subject><ispartof>Processes, 2023-03, Vol.11 (3), p.925</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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The raw coal gas content–gas desorption index of drilling cuttings (W–K1) relationship model is characterized by logarithmic function. Using SPSS data analysis software, a stepwise multiple linear regression method is used for statistical analysis. The results show that the factors that have a significant impact on the regression slope C in the W–K1 relationship model are gas adsorption constant (a), apparent density (ARD), initial velocity of gas diffusion (Δp) and consistent coefficient (f). The factors that have a significant impact on the regression constant D are Δp and atmospheric adsorption (Q). Then, the mathematical model of rapid prediction of coal seam gas content is determined. Compared with the measured values, the average absolute error rate is 12.84%, which meets the prediction requirements and provides a simple and easy method for rapid determination of coal seam gas content in coal mines in the Hancheng area.</description><subject>Adsorption</subject><subject>Analysis</subject><subject>Bulk density</subject><subject>Coal</subject><subject>Coal gas</subject><subject>Coal industry</subject><subject>Coal mines</subject><subject>Coal mining</subject><subject>Data analysis</subject><subject>Density</subject><subject>Drilling</subject><subject>Error analysis</subject><subject>Gaseous diffusion</subject><subject>Laboratories</subject><subject>Mathematical models</subject><subject>Measurement methods</subject><subject>Methods</subject><subject>Mines</subject><subject>Regression</subject><subject>Regression analysis</subject><subject>Statistical analysis</subject><issn>2227-9717</issn><issn>2227-9717</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkE1LAzEQhhdRsNRe_AUBb8LWZLPJbo6l1lqoCNqjsGSTiaZ0kzWbgv33prSgM4f54Hln4M2yW4KnlAr80AdCMMWiYBfZqCiKKhcVqS7_9dfZZBi2OIUgtGZ8lH0sfnoItgMX5Q69x70-IO_Qm-ytRo8QIXTWyWjT7gXil9fIGzT3RxZkh5ZySJOLSY7aA1o5bQOoeGZvsisjdwNMznWcbZ4Wm_lzvn5druazda4oLWNOqcKkglJzTlVF2rIspFQY6loyoUvJdIk5GCCMQ8VFq1ptcK2oFJwww-g4uzud7YP_3sMQm63fB5c-NkUlCBc1wyRR0xP1KXfQWGd8DFKl1NBZ5R0Ym_azqqSCMkqOgvuTQAU_DAFM0yejZDg0BDdHw5s_w-kvlqxxvQ</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Lei, Hongyan</creator><creator>Dai, Linchao</creator><creator>Cao, Jie</creator><creator>Li, Rifu</creator><creator>Wang, Bo</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>LK8</scope><scope>M7P</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0003-4179-2553</orcidid><orcidid>https://orcid.org/0000-0002-5521-9283</orcidid></search><sort><creationdate>20230301</creationdate><title>Experimental Study on Rapid Determination Method of Coal Seam Gas Content by Indirect Method</title><author>Lei, Hongyan ; 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The raw coal gas content–gas desorption index of drilling cuttings (W–K1) relationship model is characterized by logarithmic function. Using SPSS data analysis software, a stepwise multiple linear regression method is used for statistical analysis. The results show that the factors that have a significant impact on the regression slope C in the W–K1 relationship model are gas adsorption constant (a), apparent density (ARD), initial velocity of gas diffusion (Δp) and consistent coefficient (f). The factors that have a significant impact on the regression constant D are Δp and atmospheric adsorption (Q). Then, the mathematical model of rapid prediction of coal seam gas content is determined. 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| subjects | Adsorption Analysis Bulk density Coal Coal gas Coal industry Coal mines Coal mining Data analysis Density Drilling Error analysis Gaseous diffusion Laboratories Mathematical models Measurement methods Methods Mines Regression Regression analysis Statistical analysis |
| title | Experimental Study on Rapid Determination Method of Coal Seam Gas Content by Indirect Method |
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