Publication Date:
2022-02-24
Description:
Abstract
Description:
Here we are sharing our code, tutorials and examples used to interpret geological structures (e.g. faults, salt bodies and horizones) in 2-D and/or 3-D seismic reflection data using deep learning. The repository is organised in a series of tutorials (Jupyter notebooks) with increasing degree of difficulty. We show step-by-step how to: (1) load seismic data, (2) train a model and (3) apply the model to map different geological structures. You can find a few visual examples on our poster and more technical details in our preprint.
Keywords:
Seismic reflection data
;
Seismic interpretation
;
Machine learning
;
Deep learning
;
Geophysics
;
EARTH SCIENCE
;
EARTH SCIENCE 〉 OCEANS 〉 MARINE GEOPHYSICS
;
EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS
Type:
Software
,
Software
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