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High-resolution multi-channel seismic reflection (MCS) profiles from the southeastern North Sea acquired during expedition MSM98/2

This dataset consists of three high-resolution multi-channel seismic reflection (MCS) profiles from the southeastern North Sea between Amrum and Heligoland shown in the corresponding publication. These data were acquired during expedition AL496 with R/V Alkor in July 2017 and during expedition MSM98/2 with R/V Maria S. Merian in February 2021 to image buried glacial landforms (tunnel valleys and a glacitectonic complex). All data have been processed to produce full seismic reflection profiles in the time-domain with an emphasis on the suppression of multiple reflections (shallow water artefacts). The raw seismic data (including navigation) is included in this dataset.

3-D seismic interpretation with deep learning: a set of Python tutorials

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.

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