Leveraging Deep Learning for Enhanced Seismic Processing

The proposed solution for this project leveraged external expertise in deep learning and signal processing to develop a novel approach to seismic processing.

A geophysics team from a super major, sought to enhance its existing seismic processing workflow by exploring the application of deep learning techniques. Specifically, it aimed to improve upon a two-step processing approach currently in use, which plays a crucial role in tomography inversion for seismic imaging and velocity model determination.