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Deep Learning Assisted Framework for Tectonostratigraphic Seismic Interpretation Conditioned to Well Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Second EAGE Digitalization Conference and Exhibition, Mar 2022, Volume 2022, p.1 - 5
Abstract
Summary
Geological characterization of the subsurface is important for the success of a wide range of applications - From petroleum and renewable energy activities to civil engineering. In this paper, we present a new deep learning assisted framework to interpret geological features in the subsurface from seismic and well data. Specifically, the workflow integrates multiple 3D deep convolutional neural networks (CNNs) trained to target specific geological features such as salt, faults, and stratigraphic boundaries.
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