Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategy
In basalt-covered areas like Saurashtra, India, the Deccan Traps are a significant part of the Indian lithosphere with notable geophysical anomalies and tectono-thermal history dating back to the Mesozoic. Magnetotellurics (MT) is commonly used to image subtrappean Tertiary and Quaternary strata in...
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Elsevier
2025-06-01
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| Series: | Applied Computing and Geosciences |
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| author | Jit Varish Tiwari Kuldeep Sarkar Upendra K. Singh |
| author_facet | Jit Varish Tiwari Kuldeep Sarkar Upendra K. Singh |
| author_sort | Jit Varish Tiwari |
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| description | In basalt-covered areas like Saurashtra, India, the Deccan Traps are a significant part of the Indian lithosphere with notable geophysical anomalies and tectono-thermal history dating back to the Mesozoic. Magnetotellurics (MT) is commonly used to image subtrappean Tertiary and Quaternary strata in these regions. We assessed the Improved Wolf Optimization (IWOA) strategy, inspired by whale hunting behavior, to enhance the electrical resistivity structure in basalt-covered regions without relying on seismic and borehole data. Initially tested on theoretical/synthetic MT datasets representing geological scenarios, IWOA was then applied to field data from hydrocarbon potential basins: (i) trap-covered areas, yielding reliable subsurface models with MT alone, and (ii) traps overlain by conductive Tertiary sediments. Instead of selecting the global model with the lowest error, we used Bayesian posterior probability density function (PDF) to reconstruct models. This approach considers models with PDF values above 68.27 % confidence interval, constructing an average model from these models with lesser uncertainty. Our analysis revealed a thick subtrappean Tertiary sedimentary layer over volcanic cover in the Cambay basin. The method also identified two layers: a highly conductive layer likely alluvium and a major resistive layer probably due to volcanic deposits. These findings align with geological stratigraphy and drill samples, demonstrating that IWOA provides a reliable and superior subsurface model. |
| format | Article |
| id | doaj-art-bd9921cbeb034949a385b72d0ca72a53 |
| institution | DOAJ |
| issn | 2590-1974 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
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| series | Applied Computing and Geosciences |
| spelling | doaj-art-bd9921cbeb034949a385b72d0ca72a532025-08-20T03:21:43ZengElsevierApplied Computing and Geosciences2590-19742025-06-012610024410.1016/j.acags.2025.100244Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategyJit Varish Tiwari0Kuldeep Sarkar1Upendra K. Singh2Department of Applied Geophysics, IIT(ISM), Dhanbad, 826 004, India; Department of Earth Sciences, IIT Bombay, Mumbai, 400076, IndiaDepartment of Applied Geophysics, IIT(ISM), Dhanbad, 826 004, India; Department of Earth Sciences, IIT Bombay, Mumbai, 400076, IndiaCorresponding author.; Department of Applied Geophysics, IIT(ISM), Dhanbad, 826 004, India; Department of Earth Sciences, IIT Bombay, Mumbai, 400076, IndiaIn basalt-covered areas like Saurashtra, India, the Deccan Traps are a significant part of the Indian lithosphere with notable geophysical anomalies and tectono-thermal history dating back to the Mesozoic. Magnetotellurics (MT) is commonly used to image subtrappean Tertiary and Quaternary strata in these regions. We assessed the Improved Wolf Optimization (IWOA) strategy, inspired by whale hunting behavior, to enhance the electrical resistivity structure in basalt-covered regions without relying on seismic and borehole data. Initially tested on theoretical/synthetic MT datasets representing geological scenarios, IWOA was then applied to field data from hydrocarbon potential basins: (i) trap-covered areas, yielding reliable subsurface models with MT alone, and (ii) traps overlain by conductive Tertiary sediments. Instead of selecting the global model with the lowest error, we used Bayesian posterior probability density function (PDF) to reconstruct models. This approach considers models with PDF values above 68.27 % confidence interval, constructing an average model from these models with lesser uncertainty. Our analysis revealed a thick subtrappean Tertiary sedimentary layer over volcanic cover in the Cambay basin. The method also identified two layers: a highly conductive layer likely alluvium and a major resistive layer probably due to volcanic deposits. These findings align with geological stratigraphy and drill samples, demonstrating that IWOA provides a reliable and superior subsurface model.http://www.sciencedirect.com/science/article/pii/S2590197425000266MagnetotelluricUncertaintyIWOAPosteriorBayesianGlobal optimization |
| spellingShingle | Jit Varish Tiwari Kuldeep Sarkar Upendra K. Singh Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategy Applied Computing and Geosciences Magnetotelluric Uncertainty IWOA Posterior Bayesian Global optimization |
| title | Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategy |
| title_full | Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategy |
| title_fullStr | Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategy |
| title_full_unstemmed | Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategy |
| title_short | Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategy |
| title_sort | resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of india derived from a new strategy |
| topic | Magnetotelluric Uncertainty IWOA Posterior Bayesian Global optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2590197425000266 |
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