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Particle swarm optimization inversion of self-potential data for depth estimation of coal fires over East Basuria colliery, Jharia coalfield, India

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Abstract

Coal fires pose a serious threat to the environment and it is important to detect them at an early stage for their control and hazard mitigation. The present study addresses an innovative approach for depth estimation of coal fires using self-potential (SP) method and its inversion through particle swarm optimization (PSO) technique. The suitability of PSO inversion technique for self-potential data has been established using synthetic models of spherical and cylindrical objects, and inclined sheet with large horizontal extent as causative sources. Present study reveals that the geometry of subsurface coal combustion is possibly similar to inclined sheet with relatively large horizontal extension. The depth of coal fires has been estimated using PSO inversion of SP anomaly data over the East Basuria colliery, Jharia coal field, Jharkhand, India with good accuracy. The results of the analysis are compared with borehole lithologic log data which proves efficacy of the PSO inversion technique.

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Acknowledgments

We are thankful to Prof. James W. LaMoreaux, Editor-in-Chief and the anonymous Referees for their valuable suggestions towards improvement of the manuscript. Authors are thankful to Department of Science of Technology (DST), Govt. of India for funding the project (SB/S4/ES-640/2012) on geotechnical characterization of Jharia coal field area using Geophysical techniques. Authors  wishe to thank to the Department of Science of Technology (project no. SR/FST/ESI-104/2010) and University Grant Commission (project no. F.560/1/CAS/2009(SAP-I)) Govt. of India for using instrumental facilities under these projects. The authors wish to thank to Director, ISM and HOD, Department of Applied Geophysics, ISM, Dhanbad for their support in this study. Authors are also thankful to Mr. D. N. Tiwari, East Basuria Colliery for the support at various stages of this study.

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  1. Department of App. Geophysics, Indian School of Mines, Dhanbad, 826 004, India

    V. Srivardhan, S. K. Pal, Jitendra Vaish, Sahadev Kumar, Abhay Kumar Bharti & Piyush Priyam

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  1. V. Srivardhan
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  2. S. K. Pal
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  3. Jitendra Vaish
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Correspondence to S. K. Pal.

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Srivardhan, V., Pal, S.K., Vaish, J. et al. Particle swarm optimization inversion of self-potential data for depth estimation of coal fires over East Basuria colliery, Jharia coalfield, India. Environ Earth Sci 75, 688 (2016). https://doi.org/10.1007/s12665-015-5222-9

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