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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union

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Geosci. Instrum. Method. Data Syst., 6, 53-69, 2017
https://doi.org/10.5194/gi-6-53-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
03 Feb 2017
Continuous wavelet transform and Euler deconvolution method and their application to magnetic field data of Jharia coalfield, India
Arvind Singh and Upendra Kumar Singh Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004, India
Abstract. This paper deals with the application of continuous wavelet transform (CWT) and Euler deconvolution methods to estimate the source depth using magnetic anomalies. These methods are utilized mainly to focus on the fundamental issue of mapping the major coal seam and locating tectonic lineaments. The main aim of the study is to locate and characterize the source of the magnetic field by transferring the data into an auxiliary space by CWT. The method has been tested on several synthetic source anomalies and finally applied to magnetic field data from Jharia coalfield, India. Using magnetic field data, the mean depth of causative sources points out the different lithospheric depth over the study region. Also, it is inferred that there are two faults, namely the northern boundary fault and the southern boundary fault, which have an orientation in the northeastern and southeastern direction respectively. Moreover, the central part of the region is more faulted and folded than the other parts and has sediment thickness of about 2.4 km. The methods give mean depth of the causative sources without any a priori information, which can be used as an initial model in any inversion algorithm.

Citation: Singh, A. and Singh, U. K.: Continuous wavelet transform and Euler deconvolution method and their application to magnetic field data of Jharia coalfield, India, Geosci. Instrum. Method. Data Syst., 6, 53-69, https://doi.org/10.5194/gi-6-53-2017, 2017.
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Short summary
Presented work allows estimation of buried source without any prior knowledge of underlying formation. This paper deals the application of continuous wavelet transform (CWT) and Euler deconvolution methods to estimate the source depth using magnetic anomalies. These methods are utilized mainly to focus on the fundamental issue for mapping the major coal seam and locating magnetic lineaments over Jharia coalfield, India.
Presented work allows estimation of buried source without any prior knowledge of underlying...
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