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Found 3 papers, 1 papers with code
A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward Model
Additionally, the PINO-Res-Sim in the aREKI workflow efficiently recovered unknown fields with a computational speedup of 100 to 6000 times faster than conventional methods.
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
This is accomplished by applying two operations on the input data to the NN model: 1) The crosscorrelation of the input data (i. e., shot gather, seismic image, etc.)
Direct domain adaptation through reciprocal linear transformations
In the training stage, as expected, the input images are from the source domain, and the mean of auto-correlated images are evaluated from the target domain.
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