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GeolDG: 2D-Seismik in der Ausschließlichen Wirtschaftszone Deutschlands (WMS)

Der Datensatz umfasst die Nachweisdaten der 2D-seismischen Surveys, die in den Anwendungsbereich des Geologiedatengesetzes fallen und von denen mindestens eine Profillinie in der Ausschließlichen Wirtschaftszone Deutschlands liegt oder deren Grenzverlauf kreuzt.

GeolDG: 3D-Seismik in der Ausschließlichen Wirtschaftszone Deutschlands (WMS)

Der Datensatz umfasst die Nachweisdaten der 3D-seismischen Surveys, die in den Anwendungsbereich des Geologiedatengesetzes fallen und deren überdeckte Flächen mindestens teilweise in der Ausschließlichen Wirtschaftszone Deutschlands liegen.

GeolDG: 2D-Seismik in der Ausschließlichen Wirtschaftszone Deutschlands

Der Datensatz umfasst die Nachweisdaten der 2D-seismischen Surveys, die in den Anwendungsbereich des Geologiedatengesetzes fallen und von denen mindestens eine Profillinie in der Ausschließlichen Wirtschaftszone Deutschlands liegt oder deren Grenzverlauf kreuzt.

GeolDG: 3D-Seismik in der Ausschließlichen Wirtschaftszone Deutschlands

Der Datensatz umfasst die Nachweisdaten der 3D-seismischen Surveys, die in den Anwendungsbereich des Geologiedatengesetzes fallen und deren überdeckte Flächen mindestens teilweise in der Ausschließlichen Wirtschaftszone Deutschlands liegen.

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.

A database of physical experiments, fieldwork information, and a seismic line applied on the eastern Domeyko Cordillera, northern Chile

This dataset contains a series of analog models for comparing and testing positive tectonic inversion mechanisms and wedge structure formation. Furthermore, it includes a 2-D seismic reflection profile that can be compared with the models presented here. Finally, several photos of some structural features that cab be associated with wedge structure are shown. Both seismic lines and photos are located on a segment of Andean forearc, specifically, in the eastern Domeyko Cordillera and the Salar de Atacama Basin in northern Chile. Specifically, the models were deformed under extensional and compressional conditions, inducing a positive tectonic inversion, using a pure/simple-shear deformational apparatus. Our models intended to simulate the tectonic conditions presented in López et al. (2022), which illustrated the structural setting of the Domeyko Cordillera as resulting from the interplay between positive inversion tectonics and pure shortening faulting. Moreover, our models simulated three geological environments that developed sequentially through time: (a) syn-rift sedimentation, (b) post-rift and pre-shortening sedimentation, and (c) syn-shortening sedimentation. Post-rift and syn-shortening sedimentation incorporated a ductile layer (PDMS) during the shortening phase, simulating the presence of evaporitic deposits (i.e., gypsum) to test the conditions that could have controlled the formation of pure-shortening-related structures in the case study under consideration.

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