Academic contributions
Journal papers and conference work from the Institute's researchers, mostly on seismic processing, DAS, and physics-informed methods.
Geophysics (SEG)
We propose local orthogonalization framework for multidimensional seismic data processing to effectively suppress random and coherent noise while preserving weak reflection events.
SEG Technical Program Expanded Abstracts
This study explores physics-guided deep learning architectures for automated, real-time microseismic event detection and classification in continuous DAS streams.
IEEE Transactions on Geoscience and Remote Sensing
A non-uniform sampling theory application that resolves spatial aliasing issues in complex acquisition geometries through sparse inversion.
EAGE Annual Conference & Exhibition
Integrating acoustic wave equation constraints into deep neural operators to accelerate forward modeling in heterogenous media.