Machine Learning and Artificial Intelligence

Wednesday, 26 August

0830 - 1000

Waterway 4

Technical Session

Session Chairpersons

0830-0900 233005
Unlocking Value Through AI-Driven Pump-Off Automation: A Two-Year IoT Deployment Across 150 Marginal Wells

C. Clerget, Amplified Industries, Inc.; N. Chugunov, Siena Natural Resources; S. Mannai, Amplified Industries; W. McCabe, Siena Natural Resources
0900-0930 232983
AI‑Driven Well Surveillance Using Low‑Code Tools: Automating Anomaly Detection And Actionable Insights On Gas Lift Wells In The Delaware Basin

I. Tanakov, Oxy Inc; E. Zoubovsky, Occidental Petroleum Corp.
0930-1000 232988
Data-driven Predictive Analytics And Real-time Visualization For Esp Performance Optimization And Proactive Failure Mitigation

C. Guzman, BAKER HUGHES; J. Cordova, Baker Hughes Ltd; L.R. BAILON, EP PETROECUADOR
Alternate 232968
Esp Stable Restarts Using Pid Control And Programmable Acceleration Ramps

H. Perez, Baker Hughes; J. Barraco, Pan American Energy
Alternate 232996
From Data To Action: Field Deployment Of Live Physics-based Models For ESP Optimization And Operational Efficiency Gains

A. Valente, Baker Hughes; R. Cafarelli, G. Rizza, C. Guglielmo, F. Bosia, S. Pilone, L. Vigano, D. Chessa, C.P. Gomez, Eni; S. Barbarino, M.E. Gonzalez, Baker Hughes; A. Kurd, Eni; O.A. Iskandar, Baker Hughes

Technical Program