Seismic Interpretation

3 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

A Machine Learning Benchmark for Facies Classification

yalaudah/facies_classification_benchmark 12 Jan 2019

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

olivesgatech/man-recon 15 Dec 2022

Deep learning can extract rich data representations if provided sufficient quantities of labeled training data.

Learning to Decouple and Generate Seismic Random Noise via Invertible Neural Network

mengchuangji/Seis-INN IEEE Transactions on Geoscience and Remote Sensing 2023

Then, by manipulating the latent variable’s partitions encoding high- and low-frequency information, INN can generate quality-controlled fake field data and decouple useful signal and field noise parts from field data in its backward pass.