Innovation showcase: Using artificial intelligence (AI) and visual automation for advanced emissions reduction, leak detection, and MMRV / OGMP 2.0 compliance

This session will cover Artificial Intelligence (AI) driven 360-degree autonomous visual emissions site, source, component level, real time, continuous detection, and quantification solution-based technology and how it specifically relates to Dr. Sultan Al Jaber’s emissions reduction mandates & the UAE Consensus 2023. It will review the developments in AI driven visual emissions monitoring and its ability to enable Measure, Monitoring, Reporting, and Verification (MMRV) Gold Standard and Oil & Gas Methane Partnership (OGMP) 2.0 Level 1-5 and how to achieve level 4 & 5 compliance. It will discuss and explain different emissions detection methodologies, drones, satellites, Volatile Organic Chemical detection (VOC), Optical Gas Imaging (OGI) Cameras, thermal lenses, cooled cameras and other types of vapour and odour leak detection equipment and systems. It will clearly explain how Artificial Intelligence (AI) driven Visual Automation for emissions reduction and monitoring is contributing to sustainable growth that benefits its people, partners and the planet.

Innovative solutions for overcoming the AI skill gap in a competitive talent market

An informal panel-style session with panellists sat in a circle surrounded by the audience. After an initial conversation, led by a facilitator and the panellists, the audience will be invited to comment on and ask questions to the wider group.

A recent IEA report on the relationship between energy and AI found there are only 22,000 AI specialists globally across all industries, and 61% of large businesses surveyed in the US and UK, reported a lack of staff with sufficient AI experience. As a result, all industries are competing for a limited skill set. Many energy companies are approaching this challenge through the upskilling and retraining of their existing workforces, as well as implementing innovative new programming such as back-to-school initiatives. However, cost-effectively achieving this, at scale, while managing the increased power demand for all of the above is a challenge.

Attendee insights:

Learn through case studies and demonstrations how digital twin technology can be used to overcome challenges when it comes to implementing pre-emptive physical asset monitoring.