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Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field

Daniel Asante Otchere, Bennet Nii Tackie-Otoo, Mohammad Abdalla Ayoub Mohammad, Tarek Omar Arbi Ganat, Nikita Kuvakin, Ruslan Miftakhov, Igor Efremov, Andrey A. Bazanov

2022Journal of Petroleum Science and Engineering23 citationsDOI

Topics & Concepts

Geophysical imagingConvolutional neural networkDeep learningFault (geology)Artificial intelligenceSeismologyArtificial neural networkGeologyComputer sciencePattern recognition (psychology)Seismic Imaging and Inversion TechniquesDrilling and Well EngineeringHydraulic Fracturing and Reservoir Analysis
Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field | Litcius