Production Optimization

Thursday, 22 October

0830 - 1130

Room 372 AD

Technical Session

This session focuses on production optimization through the application of advanced automation, machine learning, and digital twin technologies. Presentations highlight field proven, AI driven workflows for gas lift, plunger lift, ESPs, and produced water management, spanning applications from operational decision support to closed loop and fully autonomous control. Case studies demonstrate how physics informed models, real time diagnostics, and self-calibrating workflows improve day to day operating performance, reliability, and scalable optimization across a range of artificial lift and production systems.

Session Chairpersons

Rajan Chokshi - Accutant Solutions

Geir Elseth - Equinor ASA

0830-0855 233953
From Manual To Autonomous: Field Experience and Lessons Learned from Implementing the First AI-APC Autonomous Gas Lift Optimization System

E. Rubio, G. Gupta, M. Subaihi, ADNOC Onshore; R. Mohan, ADNOC Upstream
0855-0920 234201
Restoring Gas Lift Injectivity Using a Retrofit Straddle Solution: A Multi‑Year North Sea Field Case History

A. Bouhouche, E. Wiktorski, P. Mortensen, K. Stenvold, Aker BP ASA
0920-0945 233800
Gas Lift Evaluation and Production Forecasting Through a Transfer Learning Dual-Track Machine Learning Framework

A.F. Al Raisi, H. Karami, D. Devegowda, Mewbourne School of Petroleum and Geological Engineering, University of Oklahoma, Norman
1015-1040 233827
A Physics-Informed Machine Learning Framework for Real-Time Predictive Diagnostics and Conformance Control in Produced Water Management

M. Omer, S. Sheikh, M. Duarte Ballesteros, Weatherford International
1040-1105 233878
AI-driven Plunger Lift Optimization: An Eagle Ford Case Study

E. Onegova, A. Segura-Tinoco, M. Umer Khan, Baker Hughes; R. Demian, M. Ramos Rey, G. Dhillon, Repsol; F. Ruiz Garcia, Baker Hughes; V. de Dios, Repsol; O. Iskandar, S. Barbarino, Baker Hughes
1105-1130 234113
AI Enabled Digital Twins Enabling Integrated Production Optimization and Autonomous Operations

R. Mohan, ADNOC Upstream; S. Al Muhairi, Abu Dhabi National Oil Company; M. Al Hashemi, ADNOC Upstream; A. Alsereidi, ADNOC Onshore; M. Almenhali, S. Chennallour, ADNOC Offshore; S.M. Alawadhi, D. Tambunan, M. Alansaari, ADNOC Onshore; A. Alzaabi, ADNOC OFFSHORE; S. Alhashmi, ADNOC Onshore; R. Alhammadi, ADCO Producing Co. Inc.
Alternate 233842
Closed-Loop Automated Gas Lift Injection Optimization Through Daily Self-Calibrating Hydraulic Modeling and Field Validation in HPSPGL Wells

D. Ruiz, Enerview; D. Larson, J. Joiner, CPX Energy; B. Pronk, Dwiggins Consulting LLC; E. Littuma, S. Suheil, J. Hincapie, G. Ibarra, D. Arias Puerta, Enerview
Alternate 234162
Data-Driven Prediction of Electrical Submersible Pump Run Life Using Leakage-Resistant Machine-Learning Validation

M. Sobhy, Khalda Petroleum Co.; H. Elnaggar, University of Wyoming; K. Raslan, Badr Petroleum Company; B. Eissa, Texas tech university; S. Agosu, University of Wyoming; A. El-banbi, The American University In Cairo

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2026 Technical Program

Production Optimization