This session will explore how AI key players institutionalise strategy & governance for AI—from model risk management and data governance to ethics, cybersecurity, and regulatory compliance—so AI can be trusted in safety-critical, high-stakes upstream decisions. Share practical approaches to defining accountability (who owns the model, data, and outcomes), setting standards for procurement and deployment, and ensuring solutions remain auditable, explainable, and secure across joint ventures and multi-partner ecosystems.

Session Managers: Darren Chong, Kongsberg Digital; Mohammad Faizal Che Daud, PETRONAS; Rozaidy Zainul, PETRONAS

As oil and gas companies move from scattered data systems to more connected digital environments, having a strong data foundation is becoming critical to getting real value from AI. This session focuses on three key areas: bringing data together into a unified ecosystem, ensuring data is reliable and trusted for AI and deploying human-centred automation where AI supports but not replacing engineers. Real case studies will show how companies combine domain knowledge and AI to create practical, reliable solutions that improve safety, efficiency and overall operational performance.

Featured Presentations:

• A Novel AI-Driven Framework for Continuous Satellite-Based Quantification of Associated Gas Flaring by Premkumar Chandrashegaran, AI Director, Ad Terra
• Closing the Tap: Strengthening Data Foundations for Scalable and Sustainable AI Adoption by Nani Sumarni Hj. Sulaimana, BSP CHIEF TECHNICAL DATA MANAGEMENT, Shell – Brunei
• Machine Learning Utilization for Enhanced Sucker Rod Pump Dynacard Recognition by Hilman Lazuardi Novida Putra, Engineer Production Strategy Area 1, PT Medco E&P Indonesia

Session Managers: Saito Naoki, Japan Vietnam Petroleum; Tanarat Kanchanachinto, Valeura Energy; Tengku Ezharuddin Tengku Bidin, Faazmiar Technology Sdn Bhd

This session explores AI enabled intelligent automation across upstream operations, spanning subsurface characterisation, drilling and well construction, production operations, surface facilities, and field development planning. We place particular emphasis on Operational Excellence while keeping the scope broad. Submissions may cover human in the loop decision support through closed loop optimisation and autonomous control, including remote operations and real time execution, and the integration of AI driven automation with existing operational systems and data environments. Outcomes can include production uplift, NPT reduction, improved reliability and safety, and lower cost and emissions; quantitative results are welcome. Lessons learned that enable repeatable and scalable adoption are encouraged.

Featured Presentations: 

• Pioneering the First Deployment of Orchestrated Automation in Deepwater Drilling Operations under Narrow-Pressure Margin Challenges,  A Case Study from Indonesia by Ramadhan Jarekson, Digital Lead, Halliburton

• A Conversational User Interface For Autonomous Reservoir Simulation Deck Generation And Execution by Ian Matejka, Co-Founder, Blauweiss E.D.V

• Digitizing Subsurface Expertise: Machine Learning for Smarter Workover Decisions in a Mature Multi-Layered Brownfield by Pradhipta Seno Respati Parlinto, Reservoir Engineer, PT Medco E&P Indonesia

• Project Coral: From Backlog to Breakthrough – A Framework for Scalable ALARP Decision Making in Plug & Abandonment by Martin Tjioe & Chee Hau Liew, Brunei Shell Petroleum

Session Managers: Pratik Sangani, SLB; Dr. Omar Alfarisi, ZhenHua Oil; Then Eii Feng, PTTEP

As organisations accelerate their AI adoption, many discover that the journey from promising prototypes to enterprise wide deployment is far more complex than expected. This session brings together bold stories, hard earned lessons, and practical strategies from real world implementations across IoT, software, hardware, and digital ecosystems.

We will explore the full lifecycle of scaling AI, beginning with how early prototypes are conceived with scalability in mind—designing for modularity, data readiness, extensibility, and operational fit from day one. Attendees will hear examples spanning industrial IoT solutions, intelligent automation, agent based systems, and integrated hardware software architectures, illustrating what it really takes to move from experimentation to production.

The session also dives into the challenges that often emerge after a pilot succeeds: integration with legacy systems, data quality inconsistencies, MLOps maturity gaps, cybersecurity constraints, multi geography rollout complexity, change management, and the organisational readiness needed to onboard new digital workflows. Through candid reflections on what worked—and what didn’t—you will gain a realistic view of the people, process, and technology shifts required to sustain AI at scale.

Finally, we will discuss a practical framework for scaling digital success: how to design scalable prototypes, how to industrialise AI capabilities, and how to drive adoption across large, diverse enterprise environments. Participants will leave with valuable insights to transform isolated pilot wins into long term, organisation wide impact.

Featured Presentations: 

• Pilot to Enterprise: Deploying AI-Driven Planning to Improve Decision Agility and Cost Optimization in a Volatile Energy Market by Nur Afrina Inani Zul Azhar, Executive, PETRONAS Carigali Sdn Bhd
• Scaling AI in Subsea Operations: How Operator-Led Co-Creation Overcomes the Pilot-to-Deployment Gap by Lewis Yim, Chief Growth Officer, Elementz
• Machine Learning for Automated Geomechanics Earth Modelling: From Development to Enterprise Deployment by Rajendra Nath, Geomechanics Engineer, PETRONAS Carigali Sdn Bhd
• An End-to-End AI Nano Platform for Democratizing No-Code AI Development and Deployment in Energy Applications by Omar Alfarisi, Senior AI Subsurface Research Engineer, ZhenHua Oil