Extraction of High Chargeability Distribution using Joint Inversion of Direct Current Resistivity and Time Domain Induced Polarization Data: A Development and Test Results on Uranium Bearing Target Rock

Induced polarization datasets, which assess the overvoltage characteristics of the subsurface, are becoming increasingly prevalent. These datasets are not limited to mineral resource exploration but are also gaining traction in various engineering applications. We present the result of joint inversi...

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Vydáno v:Pure and applied geophysics Ročník 181; číslo 3; s. 953 - 976
Hlavní autoři: Verma, Vishnu Kant, Singh, Shalini, Singh, Anand
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.03.2024
Springer Nature B.V
Témata:
Algorithms
Anniversaries
Computation
Datasets
Direct current
Earth and Environmental Science
Earth Sciences
Electrical resistivity
Geology
Geophysical exploration
Geophysical methods
Geophysics/Geodesy
Induced polarization
Mineral exploration
Mineral resources
Objective function
Polarization
Resource exploration
Synthetic data
Traction
Uranium
Direct current resistivity
conventional inversion
joint inversion
induced polarization
uranium mineralization
ISSN:0033-4553, 1420-9136
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Shrnutí:Induced polarization datasets, which assess the overvoltage characteristics of the subsurface, are becoming increasingly prevalent. These datasets are not limited to mineral resource exploration but are also gaining traction in various engineering applications. We present the result of joint inversion of direct current resistivity and induced polarization data. We have obtained two subsurface properties: electrical resistivity and chargeability, by minimizing the single objective function. For this purpose, we have computed the distorted apparent resistivity using the secondary voltage measure at each time gate. We compared our results with the conventional inversion of induced polarization on synthetic data with both high and low chargeable mineralized ore bodies. We noted that our approach provides a more reasonable model for high chargeable ore bodies. However, both joint inversion and nonlinear approaches give similar results for low-chargeable ore bodies. Nonlinear inversion of induced polarization was accomplished by solving two objective functions: One for resistivity and another one for induced polarization. Thus, error in the resistivity inversion propagates in the chargeability computation due to consequences. Further, the developed joint inversion algorithm is also applied to a field data set measured at the Beldih mine located in the West Bengal, India. We compared our final chargeability models with the local geology and geologic models obtained via other geophysical methods on the same profiles and found an excellent correlation in both models.
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ISSN:0033-4553
1420-9136
DOI:10.1007/s00024-024-03432-0