Seismic Interpretation
2 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation
In recent years, deep neural networks have significantly impacted the seismic interpretation process.
Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation
In seismic interpretation, pixel-level labels of various rock structures can be time-consuming and expensive to obtain.
A novel attention model for salient structure detection in seismic volumes
Subsequently, a novel directional center-surround attention model is proposed to incorporate directional comparisons around each voxel for saliency detection within each projected dimension.
Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks
The interpretation of seismic data is vital for characterizing sediments' shape in areas of geological study.
Ground Roll Suppression using Convolutional Neural Networks
Seismic data processing plays a major role in seismic exploration as it conditions much of the seismic interpretation performance.
Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping
By having an interpreter select a very small number of exemplar images for every class of subsurface structures, we use a novel similarity-based retrieval technique to extract thousands of images that contain similar subsurface structures from the seismic volume.
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation
In this work, we present the Netherlands interpretation dataset, a contribution to the development of machine learning in seismic interpretation.
Characterization of migrated seismic volumes using texture attributes: a comparative study
It is our hope that this comparative study will help acquaint the seismic interpretation community with the many available powerful image texture analysis techniques, providing more alternative attributes for their seismic exploration.
Automatic classification of geologic units in seismic images using partially interpreted examples
Tests on seismic images and interpretation information from the Sea of Ireland show that we obtain high-quality predicted interpretations from a small number of large seismic images.
SalSi: A new seismic attribute for salt dome detection
In this paper, we propose a saliency-based attribute, SalSi, to detect salt dome bodies within seismic volumes.
