222 citations · 230 across the 4 of their papers we have counts for
4 papers
Homogenizing elastic properties of large digital rock images by combining CNN with hierarchical homogenization method
Rasool Ahmad, Mingliang Liu, Michael Ortiz +2
Determining effective elastic properties of rocks from their pore-scale digital images is a key goal of digital rock physics (DRP). Direct numerical simulation (DNS) of elastic beh…
ChatGPT for Programming Numerical Methods
Ali Kashefi, Tapan Mukerji
ChatGPT is a large language model recently released by the OpenAI company. In this technical report, we explore for the first time the capability of ChatGPT for programming numeric…
Bayesian Geophysical Basin Modeling with Seismic Kinematics Metrics to Quantify Uncertainty for Pore Pressure Prediction
Josue Fonseca, Anshuman Pradhan, Tapan Mukerji
Bayesian geophysical basin modeling (BGBM) methodology is an interdisciplinary workflow that incorporates data, geological expertise, and physical processes through Bayesian infere…
Geological realism in hydrogeological and geophysical inverse modeling: a review
N. Linde, P. Renard, T. Mukerji +1
Scientific curiosity, exploration of georesources and environmental concerns are pushing the geoscientific research community toward subsurface investigations of ever-increasing co…