As AI continues to transform the oil and gas sector, Panel 6 examined the challenges and opportunities of an industry increasingly driven by data. The discussion centred on how interoperability and common standards can unify and contextualise vast data sets, enabling machine analytics to improve asset availability and drive end-to-end optimisation.
Speakers highlighted the evolution of the digital twin from proof of concept to a business-critical platform. With a common data model at its core, it is becoming central to aligning digital strategies with business value. The panel also considered how real-time monitoring and energy management are helping organisations not only to comply with emissions targets but, in many cases, to exceed them.
Looking to the future, the conversation turned to composable digital twins and the modular use of new data sources. The role of generative AI was also explored, with use cases spanning drilling, reservoir management, refining, and pipeline monitoring. Together, these insights showed how digital twins, powered by AI, are redefining efficiency, sustainability, and competitiveness in the modern oilfield.
Speakers
- Shanjoy Malkani, Global Product Owner, Digital Twin, Shell
- Joe McDonald, Technology Manager, Hazid Technologies
- Rei Yasumuro, Global Head of Digital & Analytics, MODEC
Moderator
