AllJournal ArticleConference Paper

All Years202520242023

Journal Article2024

#Denoising#Signal Processing#Seismic

Local Orthogonalization Methods for Seismic Data Denoising and Signal Preservation

Geophysics (SEG)

We propose local orthogonalization framework for multidimensional seismic data processing to effectively suppress random and coherent noise while preserving weak reflection events.

Authors: Innocent Oboué, CollaboratorsView DOI / Publication

Conference Paper2025

#DAS#Machine Learning#Event Location

Deep Learning Architectures for Distributed Acoustic Sensing (DAS) Event Detection

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.

Authors: Innocent Oboué, CollaboratorsView DOI / Publication

Journal Article2023

#Aliasing#Sampling Theory#Inversion

Multidimensional Reconstruction and Aliasing Mitigation in Spatial Seismic Sampling

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.

Authors: Innocent Oboué, CollaboratorsView DOI / Publication

Conference Paper2025

#PINN#Forward Modeling#HPC

Physics-Informed Neural Networks (PINNs) for Seismic Wavefield Modeling

EAGE Annual Conference & Exhibition

Integrating acoustic wave equation constraints into deep neural operators to accelerate forward modeling in heterogenous media.

Authors: Innocent Oboué, CollaboratorsView DOI / Publication