Facies Classification
2 papers with code • 0 benchmarks • 0 datasets
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CONSS: Contrastive Learning Approach for Semi-Supervised Seismic Facies Classification
Recently, seismic facies classification based on convolutional neural networks (CNN) has garnered significant research interest.
Unsupervised seismic facies classification using deep convolutional autoencoder
Application of automatic methods for seismic facies interpretation could significantly reduce the manual labor and subjectivity of a particular interpreter present in conventional methods.
Facies classification from well logs using an inception convolutional network
The idea to use automated algorithms to determine geological facies from well logs is not new (see e. g Busch et al. (1987); Rabaute (1998)) but the recent and dramatic increase in research in the field of machine learning makes it a good time to revisit the topic.
