2 citations · 3 across the 6 of their papers we have counts for
6 papers
Sequential Physics-Constrained Neural Operator Forward Modeling for the Reservoir System
Clement Etienam, Juntao Yang, Oleg Ovcharenko +4
We develop a comprehensive mathematical and computational framework for sequential surrogate modeling of three-phase black-oil reservoir dynamics using neural operators, with parti…
Deep learning enhanced initial model prediction in elastic FWI: application to marine streamer data
Pavel Plotnitskii, Oleg Ovcharenko, Vladimir Kazei +2
Low-frequency data are essential to constrain the low-wavenumber model components in seismic full-waveform inversion (FWI). However, due to acquisition limitations and ambient nois…
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward Model
Clement Etienam, Yang Juntao, Oleg Ovcharenko +1
We developed a novel reservoir characterization workflow that addresses reservoir history matching by coupling a physics-informed neural operator (PINO) forward model with a mixtur…
A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward Model
Clement Etienam, Yang Juntao, Issam Said +4
We have developed an advanced workflow for reservoir characterization, effectively addressing the challenges of reservoir history matching through a novel approach. This method int…
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko
Among the biggest challenges we face in utilizing neural networks trained on waveform data (i.e., seismic, electromagnetic, or ultrasound) is its application to real data. The requ…
Direct domain adaptation through reciprocal linear transformations
Tariq Alkhalifah, Oleg Ovcharenko
We propose a direct domain adaptation (DDA) approach to enrich the training of supervised neural networks on synthetic data by features from real-world data. The process involves a…