260: Small Faults, Big Impact - Improving CCUS with Seismic Attributes

Seismic Soundoff

Content provided by Seismic Soundoff and Society of Exploration Geophysicists (SEG). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seismic Soundoff and Society of Exploration Geophysicists (SEG) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

8d ago 24:05

MP3•Episode home

“The goal is to keep injected CO₂ safely in place - that’s why understanding fault networks is so critical.” In this episode, host Andrew Geary welcomes David Lubo-Robles, lead author of The Leading Edge paper on detecting small-offset faults for carbon capture and storage (CCUS). David explains how advanced seismic attributes, without relying on machine learning, can help geoscientists better map faults that influence the movement of CO₂ underground. His insights demonstrate the importance of applied geophysics in enabling safer and smarter reservoir management in the era of climate solutions. KEY TAKEAWAYS > Advanced Seismic Attributes Matter: Multispectral coherence and volumetric aberrancy help visualize subtle faults often missed by traditional methods. > Fault Mapping Is Critical for CCUS: Understanding both large and small faults reduces geological risk and improves CO₂ storage safety. > Applied Geophysics Is Essential: From modeling to monitoring, geophysicists play a vital role in every stage of a successful CCUS project. CALL TO ACTION Want to dig deeper into how seismic attributes enhance fault detection for carbon storage? Read David’s paper in The Leading Edge, “Detection of small-offset faults in seismic data: An application for carbon capture and storage.” Whether you're in CCUS, oil and gas, or geothermal, this workflow offers tools you can apply today. Read at https://doi.org/10.1190/tle44040276.1. GUEST BIO David Lubo-Robles is a Research Scientist and Algorithm and Computing Lead for the Attribute Assisted Seismic Processing & Interpretation (AASPI) Consortium at the University of Oklahoma. David received a B.S. in geophysical engineering from Simon Bolivar University, Venezuela, and an M.S. and Ph.D. in geophysics from the University of Oklahoma. His research interests include the development and application of innovative tools using artificial intelligence, quantitative interpretation, and seismic attribute analysis to delineate geologic features suitable for energy and climate solutions. LINKS * Visit https://seg.org/podcasts/episode-260-small-faults-big-impact-improving-ccus-with-seismic-attributes for all the links mentioned in this episode.

262 episodes

#Seismic Soundoff #Leading Edge #Geology #Science #Natural Sciences #Physics #Society Of Exploration Geophysicists SEG