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physics.geo-ph2025
Inversion of Magnetotelluric Data using Bayesian Neural Networks
Dhruv Poddar, Rohan Sharma, Divakar Vashisth
Magnetotelluric (MT) inversion is a key technique in geophysics for imaging deep subsurface resistivity structures. However, the inherent ill-posedness and non-uniqueness of invers…
physics.geo-ph2024
Inversion of DC Resistivity Data using Physics-Informed Neural Networks
Rohan Sharma, Divakar Vashisth, Kuldeep Sarkar +1
The inversion of DC resistivity data is a widely employed method for near-surface characterization. Recently, deep learning-based inversion techniques have garnered significant att…
physics.geo-ph2024
Joint Inversion of DC Resistivity and MT Data using Multi-Objective Grey Wolf Optimization
Rohan Sharma, Divakar Vashisth, Kuldeep Sarkar +1
Joint inversion of geophysical datasets is instrumental in subsurface characterization and has garnered significant popularity, leveraging information from multiple geophysical met…