2 papers with code • 0 benchmarks • 0 datasets
These leaderboards are used to track progress in Seismic Interpretation
In addition to making the dataset and the code publicly available, this work helps advance research in this area by creating an objective benchmark for comparing the results of different machine learning approaches for facies classification.
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation
Deep learning can extract rich data representations if provided sufficient quantities of labeled training data.