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Seismic Interpretation

Papers

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Showing 1–20 of 20 papers

TitleStatusHype
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior—0
Effective Data Selection for Seismic Interpretation through Disagreement—0
Learning to Decouple and Generate Seismic Random Noise via Invertible Neural NetworkCode0
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation—0
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretationCode1
Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation—0
A novel attention model for salient structure detection in seismic volumes—0
Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks—0
Ground Roll Suppression using Convolutional Neural Networks—0
Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping—0
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation—0
Characterization of migrated seismic volumes using texture attributes: a comparative study—0
A Machine Learning Benchmark for Facies ClassificationCode1
Automatic classification of geologic units in seismic images using partially interpreted examples—0
SalSi: A new seismic attribute for salt dome detection—0
The role of visual saliency in the automation of seismic interpretation—0
Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective—0
A comparative study of texture attributes for characterizing subsurface structures in seismic volumes—0
Fault Detection Using Color Blending and Color Transformations—0
Parallel Computation of PDFs on Big Spatial Data Using Spark—0
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