3 papers
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…
physics.geo-ph2023
DispersioNET: Joint Inversion of Rayleigh-Wave Multimode Phase Velocity Dispersion Curves using Convolutional Neural Networks
Rohan Sharma, Divakar Vashisth, Bharath Shekar
Rayleigh wave dispersion curves have been widely used in near-surface studies, and are primarily inverted for the shear wave (S-wave) velocity profiles. However, the inverse proble…