May June 2025

June 2025

EXPLORATION

• How large language models (LLMs) can help in geoscience - by assisting us with search and synthesis for literature reviews, extracting data and answering questions from our own information and the Internet, Paul Cleverley explained
• AWS / TGS / OSDU: search for then interpret seismic - for years, seismic interpreters have had a challenge of finding and accessing seismic data before they can load it into their interpretation systems. AWS and TGS have developed a way to link them with OSDU
• Passive surface geochemistry for exploration and CO2 monitoring - collecting and analysing ground samples can be very useful for oil and gas exploration, and understanding CO2 in storage. Amplified Geochemical Imaging of Houston explained more

• Can we quantify the risk of CO2 storage? - CO2 storage risks are usually assessed “qualitatively” by making lists of adverse events that could imperil these projects and ranking them. If we could “quantify” the risk with a numerical framework, that would help. Rose Subsurface Assessment has developed such a framework.

• Salus: AI can help improve process safety and also bring in new risks - Salus Technical presented a framework for getting the most out of it
• ABB: Using genAI to make it easier to work with measurement devices uch as gas analysers, if it can automatically summarise reports
• Mapping digital skills in oil and gas - OEUK, NDA and the UK Centre for People Led Digitalisation studied the need for digital skills in different industrial sectors, how the oil and gas industry compares to other sectors, and how much more it pays for people that have them
• Offshore vessel technology developments from Norway - the first offshore supply vessel running on ammonia fuel, developments with remote operations software, the first remotely operated subsea operations vessel