Enhance your legacy data with Machine Learning in OpendTect We are excited to announce a new paper by Carlos José Araque Pérez, Teresa Teixidó, Flor de Lis Mancilla, and José Mo...
Enhance your legacy data with Machine Learning in OpendTect
We are excited to announce a new paper by Carlos José Araque Pérez, Teresa Teixidó, Flor de Lis Mancilla, and José Morales, showcasing the use of OpendTect Machine Learning to enhance legacy data from the Granada Basin in Spain.
The process of recovering and enhancing paper copy seismic sections involved three key phases:
High-resolution scanning of paper copies to TIFF images and conversion to SEG-Y format.
Post-stack processing to improve the resolution and lateral coherency of seismic events.
Application of an OpendTect machine learning workflow to boost spatial resolution and improve signal-to-noise ratio and coherency.
The authors report that these advancements have significantly improved the recovery and interpretation of seismic sections, leading to new geological insights into the complex Granada Basin.
The paper, titled: “Reprocessing and Interpretation of Legacy Seismic Data Using Machine Learning from the Granada Basin, Spain,” is published in Tectonophysics and can be accessed here: https://lnkd.in/daXErRM3.
dGB Earth Sciences #OpendTect #ML #MachineLearning #seismic #gesocience #geophysics
