AI and Data Intelligence Driving Operational Impact in Oil & Gas

Thursday, 11 June

1615 - 1730

Louvre II

Technical Session

Oilfield operations are evolving through digitalization and intelligent automation. This session brings together groundbreaking applications of AI/ML and large language models to optimize workflows, enhance situational awareness, and streamline decision-making. Discover how these technologies are applied to cement integrity interpretation, real-time anomaly detection, and waterflood optimization —delivering faster, smarter, and more reliable results.

Chairperson

Raquel Correa - SLB

Ysnardo Moya - Baker Hughes

1615-1640 231662
Revolutionizing Cement Layer Integrity Assessment With AI

I. Camerini, G.R. Ferreira, L. De Souza, A. Rodrigues, Ouronova; L. Pimentel, R. Valladares, G.M. Lucas, L.S. Filho, Repsol Sinopec Brasil
1640-1705 231731
Real-time Recognition Of Relevant Operational Events In Oil Wells Using U-net Segmentation And Numerical Derivatives

A. Silva, L. Lopes, I. Oliveira, LCCV UFAL; E. Lima Junior, T. Vieira, Federal University of Alagoas; P. Aranha, Petrobras
1705-1730 231736
Implement A Llm As Part Of A Multiagent System To Support Well Intervention Decision-making At The Well By Well Review Meetings For A Field Of Hocol S.a.

L.E. Cardona, Consultec International; F. CASTRO, Hocol S.A.
Alternate 231690
Xpert Injection (XI): A Digital End-to-end Workflow For Automated Waterflood Optimization Using AI/ML

E. Jacome, H. Quevedo, SLB
Alternate 231749
Optimization And Monitoring Of Operating Costs In Block Ix Through Data Intelligence And Predictive Analytics

J.J. Sinchitullo Gomez, Universidad Nacional de Ingeniería; L. Montes, UNIENERGIA ABC; G.L. Zuniga Arenas, Universidad Nacional de Ingeniería

2026 Technical Program

AI and Data Intelligence Driving Operational Impact in Oil & Gas

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