Session Managers: Pattawut Manapongpun, PTTEP; Tomi Ihwanto, PT Pertamina Hulu Rokan; Jason Kok, iNNOVATEQ

The oil and gas industry is undergoing significant transformations driven by advancements in technology, including autonomous operations. IoT sensors, data analytics, and machine learning algorithms enable predictive maintenance of oil and gas assets, minimising downtime, optimising production, and reducing maintenance costs. Autonomous systems can continuously monitor equipment health, detect anomalies, and trigger maintenance activities before equipment failures occur. This session aims to showcase implementations of autonomous operations applied in brownfield and marginal fields where value has been generated.

Discussion Leaders:

• Autonomous Gas Lift Operations and Optimisation by Belly Agustinus Kartika Djaya, Sensia
• Pushing the limits – using Closed-Loop Real Time Optimization to maximize production while staying within safe operating limits by Jason Kok, iNNOVATEQ
• Enhancing ESP Surveillance with Generative AI, Continuous Integration and Continuous Delivery by Silpakorn Dachanuwattana, Valeura Energy
• Improving Scalability in Forecast Analysis for Oil Fields: A Transition from Excel to Reservoir Analysis Software by Ramizah Abdul Rashid, SLB - Sensia