Gas coal delamination recognition method based on the Fisher discriminant function of trace element characteristics. (8th November 2022)
- Record Type:
- Journal Article
- Title:
- Gas coal delamination recognition method based on the Fisher discriminant function of trace element characteristics. (8th November 2022)
- Main Title:
- Gas coal delamination recognition method based on the Fisher discriminant function of trace element characteristics
- Authors:
- Pan, Hui
Zhou, Wei
Chen, Dezhong
Zhang, Hongling
Han, Yunchun - Abstract:
- Abstract: Numerous geological factors will affect determining the well bottom position by well depth during the construction of coalbed methane wells, resulting in inaccurate results. By using the trace element characteristics of coal samples to determine the source layer of coal samples, it is possible to avoid making incorrect assumptions. The groove method was used in this study to collect 40 gas coal samples from seven gas coal seams in Dingji Mine, which were then sealed and stored. The contents of 40 different trace elements were analyzed in the samples, and the types and content characteristics of trace elements in each coal seam were determined preliminarily through content distribution map analysis. Simultaneously, the SPSS analysis software was used to analyze the 1600 trace element test data from various coal seams, and cluster analysis was performed using the average link method between classes. The clustering tree diagram was created, and the discrimination was calculated using the distance between classes and samples. This study analyzed the typical explanatory variables and established the Fisher discriminant function for coal seam identification. Accordingly, identifying gas coal stratification requires only measuring the concentrations of nine trace elements (typical explanatory variables) in the coal seam being discriminated against. This method can be used in Dingji mine to determine the final hole horizon of surface coalbed methane wells and eliminatesAbstract: Numerous geological factors will affect determining the well bottom position by well depth during the construction of coalbed methane wells, resulting in inaccurate results. By using the trace element characteristics of coal samples to determine the source layer of coal samples, it is possible to avoid making incorrect assumptions. The groove method was used in this study to collect 40 gas coal samples from seven gas coal seams in Dingji Mine, which were then sealed and stored. The contents of 40 different trace elements were analyzed in the samples, and the types and content characteristics of trace elements in each coal seam were determined preliminarily through content distribution map analysis. Simultaneously, the SPSS analysis software was used to analyze the 1600 trace element test data from various coal seams, and cluster analysis was performed using the average link method between classes. The clustering tree diagram was created, and the discrimination was calculated using the distance between classes and samples. This study analyzed the typical explanatory variables and established the Fisher discriminant function for coal seam identification. Accordingly, identifying gas coal stratification requires only measuring the concentrations of nine trace elements (typical explanatory variables) in the coal seam being discriminated against. This method can be used in Dingji mine to determine the final hole horizon of surface coalbed methane wells and eliminates the risk of accidentally exposing coal seams during the excavation of an underground roadway. … (more)
- Is Part Of:
- Journal of geophysics and engineering. Volume 19:Number 6(2022)
- Journal:
- Journal of geophysics and engineering
- Issue:
- Volume 19:Number 6(2022)
- Issue Display:
- Volume 19, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 19
- Issue:
- 6
- Issue Sort Value:
- 2022-0019-0006-0000
- Page Start:
- 1235
- Page End:
- 1245
- Publication Date:
- 2022-11-08
- Subjects:
- gas coal -- trace elements -- pattern recognition analysis -- cluster analysis -- discriminant function
Geophysics -- Periodicals
Prospecting -- Geophysical methods -- Periodicals
Engineering -- Periodicals
622.1505 - Journal URLs:
- http://iopscience.iop.org/1742-2140 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1093/jge/gxac081 ↗
- Languages:
- English
- ISSNs:
- 1742-2132
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 24324.xml