3D Localization of Coal Fires Based on Self-Potential Data: Sandbox Experiments

Location of coal fires is indispensable in firefighting planning and engineering. The self-potential method has been used for decades in the qualitative determination of coal fires. However, papers about the 3D inversion of coal fires in terms of self-potential data are scarce. In this paper, a 3D i...

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Veröffentlicht in:Pure and applied geophysics Jg. 178; H. 11; S. 4583 - 4603
Hauptverfasser: Shao, Zhenlu, Deng, Rong, Zhou, Tao, Cao, Fei, Sun, Huahai, Chen, Long, Yuan, Yu, Zhong, Xiaoxing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.11.2021
Springer Nature B.V
Schlagworte:
Algorithms
Burning
Coal
Current density
Distribution
Earth and Environmental Science
Earth Sciences
Experiments
Fire control
Fire fighting
Fires
Geophysics/Geodesy
Localization
Temperature variations
source current density
Coal fires
self-potential
3D inversion
ISSN:0033-4553, 1420-9136
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Zusammenfassung:Location of coal fires is indispensable in firefighting planning and engineering. The self-potential method has been used for decades in the qualitative determination of coal fires. However, papers about the 3D inversion of coal fires in terms of self-potential data are scarce. In this paper, a 3D inversion algorithm is adopted to localize coal fires. This algorithm is first benchmarked on three synthetic cases to test the peculiar electrode configuration used in this study. Five sandbox experiments are performed with an electric heater buried at different depths and directions. The first experiment is designed to investigate the temperature variation during the heating process. The other four experiments (experiments #1–4) are conducted to obtain the self-potential anomaly under different conditions. The 3D inverted results show that the position of the heater is well-retrieved. A sandbox experiment with a portion of the sandbox containing burning coal is also carried out. Both resistivity and self-potential data are collected and inverted to obtain the 3D distribution of the causative source current density responsible for the observed self-potential signals. The distribution of the inverted source current density is consistent with the true position of the coal fire.
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ISSN:0033-4553
1420-9136
DOI:10.1007/s00024-021-02883-z