Fine detection technology of gas outburst area based on direct current method in Zhuxianzhuang Coal Mine, China. (June 2019)

• Record Type: Journal Article
• Authors: Wang, Enyuan; Chen, Peng; Liu, Zhentang; Liu, Yongjie; Li, Zhonghui; Li, Xuelong
• Is Part Of: Safety science. Volume 115(2019)
• Page Start: 12
• Page End: 18
• Publication Date: 2019-06
• Subjects: DC method -- Coal and gas outburst -- Resistivity -- Fine detection -- Anomaly area; Industrial accidents -- Periodicals; Accident Prevention -- Periodicals; Safety -- Periodicals; Travail -- Accidents -- Périodiques; 363.11
• DOI: 10.1016/j.ssci.2019.01.018
• Languages: English
• ISSNs: 0925-7535

Abstract

Highlights: The electric characteristics of coal samples were tested in the laboratory. Fine division was performed on outburst danger areas. Electrical characteristics of coal samples obtained in the laboratory correspond well with the site detection. Abstract: In this study, with No. II 1051 working face of Zhuxianzhuang Coal Mine taken as the research object, the electric characteristics of coal samples were tested in the laboratory, and the resistivity imaging was carried out on the working surface via direct current (DC) prospecting instrument on site. Then, fine division was performed on outburst danger areas through gas geological analysis. Finally, mining verification and analysis were conducted. The results suggest that the variation laws of electrical characteristics of samples obtained in the laboratory test correspond well to those gained through site detection. Resistance does not distribute homogeneously in the working face, demonstrating regional significant high and low resistance, which is jointly induced by gas, stress, structure and water. Based on the aforesaid analyses, five outburst areas are determined, including high- and low-resistance regions and the mixed zone. The analysis results of gas occurrence regularity agree with the on-site situation, proving that the result of DC prospecting can reflect the distribution of outburst danger areas. The finding is of great importance for realizing fine detection of gas outburst.