Incorporating Machine Learning and AI Infused Models – Understanding Applications in Exploration, Drilling and Predictive Maintenance Whilst Aligning People with Process
Panel 4 examined how artificial intelligence and machine learning are changing established ideas about standards and regulatory practice. Speakers noted that most standards were created in response to past failures, while modern AI systems can identify risk in real time. This shift gives facilities the ability to understand their exposure continuously and potentially benchmark against their own live performance rather than relying solely on fixed rules.
The panel highlighted the need for closer collaboration between operators, regulators and technology experts. As intelligent systems become more capable of monitoring conditions and flagging anomalies, regulatory frameworks must adapt to recognise continuous assessment as part of safe and responsible operations. This is not about reducing oversight but updating it so that governance reflects the way digital and AI enabled systems now function.
The session closed with the view that operational governance will increasingly rely on a balance between human judgement and AI supported insight. With facilities gaining clearer and more immediate awareness of their condition, organisations will have greater autonomy and greater accountability in managing risk, intervening when required and demonstrating compliance. The challenge ahead is to ensure that this autonomy remains transparent, auditable and aligned with shared expectations across the industry and its regulators.
Speakers
- Clayton Ludik, Vice President, Digital Consulting, Worley
- Fernando Landaeta Rivas, Senior Engineer, Drilling Performance Drilling & Logistics Performance Department AI Champion, ADNOC
- Arvin Singh, Executive Business Leader in Digital Assets
- Vinay Palankar, Founder, Supply Matrix
- Satyadileep Dara, ADNOC Gas | Advisor, AI & Technology Unit
Moderator
- Eiman Alhashmi, Digital Engineer, Kent
