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Detection of Water-Filled Mining Goaf Using Mining Transient Electromagnetic Method
Hebei GEO Univ, Sch Explorat Technol & Engn, Shijiazhuang 050031, Hebei, Peoples R China..ORCID iD: 0000-0002-9165-686X
China Univ Min & Technol, Sch Resources & Geosci, Xuzhou 221116, Jiangsu, Peoples R China..
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-2763-8085
Xian Res Inst Co Ltd, China Coal Technol & Engn Grp Corp, Xian 710077, Shaanxi, Peoples R China..
2020 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 16, no 5, p. 2977-2984Article in journal (Refereed) Published
Abstract [en]

Water-filled mining goaves are extremely prone to water inrush accidents in coal mines, and the transient electromagnetic method (TEM) is a good geophysical method for detecting water-rich areas. Considering that conventional TEM was mainly carried out on the ground, to increase the detection resolution, the underground TEM was used to detect the water-filled goaves in this study. Based on the whole-space model, the data-processing method of the underground TEM was studied. The whole-space geoelectric model was established based on actual coal-measure strata data, and the whole-space TEM response of the water-filled goaves was modeled using the finite-difference time-domain method. The results showed that the low-resistance areas of the apparent resistivity contours can accurately reflect the water abundance of the mining goaves. The underground TEM was used to detect the water abundance of the mining goaf in a mine environment and its detection results were consistent with the actual results.

Place, publisher, year, edition, pages
IEEE, 2020. Vol. 16, no 5, p. 2977-2984
Keywords [en]
Transient analysis, Conductivity, Data mining, Media, Resistance, Electric potential, Coal mine, mining transient electromagnetic method, numerical modeling, water-filled mining goaf, whole space
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mau:diva-17059DOI: 10.1109/TII.2019.2901856ISI: 000519588700010Scopus ID: 2-s2.0-85079789479OAI: oai:DiVA.org:mau-17059DiVA, id: diva2:1423957
Available from: 2020-04-16 Created: 2020-04-16 Last updated: 2024-02-05Bibliographically approved

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Chang, JianghaoMalekian, Reza

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