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Webinar Series

How Might Language Models Enhance Exploration Geoscience Tasks

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Date: Nov 4, 2025
Time: 11:00am CST (5:00pm UTC)

Large Language Models (LLM) can be used in a non-generative sense to help extract new data points from unstructured text to help reduce uncertainty in geological models. They are also capable of surfacing associations, trends and insights from within large collections of text that can lead to data driven discovery. LLMs can also be used in a generative sense to answer questions from within both text and structured databases, create summaries, identify contradictions and discrepancies, test hypotheses and help find new theories. This presentation will suggest various ways LLM's can be used right now for exploration geoscience in many sectors (such as carbon capture and storage, oil and gas, hydrogeology, geotechnical, geohazards and mining), the potential uses that may emerge over the coming months and years, and the risks including ethical considerations.

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Speaker
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Paul Cleverly

Visiting Professor, Information Science & Technology, Robert Gordon University, Aberdeen, Scotland

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Paul is a Geologist and Information Scientist by background. He has worked in the natural resources industry for over 30 years at the interface between the subsurface, data and technology. He has been involved in numerous technology startups and consultancies, and holds several voluntary roles in geoscience and AI. He currently serves as Visiting Professor of Information Science & Technology at Robert Gordon University in Aberdeen, Scotland.