3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in facies-classification-6
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Use these libraries to find facies-classification-6 models and implementations
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This work opens-source a fully-annotated 3D geological model of the Netherlands F3 Block, based on the study of the 3D seismic data in addition to 26 well logs, and proposes two baseline models for facies classification based on a deconvolution network architecture and makes their codes publicly available.
This paper shows the inclusion of physics-motivated feature interaction in feature augmentation can further improve the capability of machine learning in rock facies classification and can be $\sim5\%$ better than current existing best F-1 score.
Adding a benchmark result helps the community track progress.