Seismic facies recognition based on prestack data using deep convolutional autoencoder

8 April 2017

Papers citing "Seismic facies recognition based on prestack data using deep convolutional autoencoder"

6 / 6 papers shown

Title
A convolutional neural network approach to deblending seismic data Jing Sun S. Slang T. Elboth Thomas Larsen Greiner S. McDonald L. Gelius 25 51 0 12 Sep 2024
Effective Data Selection for Seismic Interpretation through Disagreement Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 40 2 0 01 Jun 2024
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation Ryan Benkert Oluwaseun Joseph Aribido Ghassan AlRegib 19 8 0 24 Feb 2023
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation Ahmad Mustafa Ghassan AlRegib 15 13 0 15 Dec 2022
Self-Supervised Delineation of Geological Structures using Orthogonal Latent Space Projection Oluwaseun Joseph Aribido Ghassan AlRegib Yazeed Alaudah 10 5 0 22 Aug 2021
Complex-valued neural networks for machine learning on non-stationary physical data Jesper Sören Dramsch M. Lüthje Anders Christensen 36 35 0 29 May 2019