What is it about?
We used advanced computer techniques to analyze seismic data from the Reconcavo Basin, Brazil. This helped us identify different types of oil reservoirs formed during early geological events, including both shale oil and conventional reservoirs. Our approach highlights areas that have produced oil before as well as new promising zones that have not yet been drilled.
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Why is it important?
Mature fields represent both a challenge and an opportunity: they hold significant untapped potential, but require new ways of thinking to unlock it. What makes this work timely is its demonstration of how seismic interpretation, enhanced by artificial intelligence, can bring fresh insight into reservoirs long considered exhausted or uneconomic. By bridging geophysical knowledge and machine learning, this approach encourages interpreters to revisit mature assets with renewed confidence, and the possibility of renewed productivity.
Perspectives
I hope this article offers readers valuable insights into how new methodologies and artificial intelligence can be applied to revitalize mature fields. It reflects a growing need in our industry to merge innovation with practical geoscience to enhance reservoir understanding and recovery.
Marcelo Vieira
Faculdade de Tecnologia SENAI CIMATEC
Read the Original
This page is a summary of: Mapping of rift-lake shale oil and early rifting-related conventional reservoirs using unsupervised multi-attribute clustering in 3D land seismic data, Interpretation, July 2025, Society of Exploration Geophysicists,
DOI: 10.1190/int-2025-0004.1.
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