03 December 2026 09:00 - 17:00 Burlington House, Piccadilly, London W1J 0BG and virtual
03 December 2026 | 09:00 - 17:00 | Burlington House, Piccadilly, London W1J 0BG and virtual
The evolving energy mix means that the subsurface has never been more in demand than it is today. Subsurface storage, geothermal energy, water resources, and near-surface engineering all require optimal characterisation of the subsurface, in addition to the discovery and exploitation of traditional energy resources. Digital technologies including AI can greatly assist and accelerate this work, although there is always a need to ensure geological and geophysical plausibility. The intention of the conference is to highlight best practice in subsurface characterisation and share case-studies where digital technology is transforming the subsurface workflow to generate faster and more accurate insights and outcomes alongside quantifying uncertainty. By doing so, the conference will crystalise learnings that will enable geoscientists to rise to the energy and subsurface challenges of the coming decades.
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From observations to insights - detection, prediction and forecasting for future value
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Transferring best practice in oil and gas to the broader energy transition
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Avoiding “black box” solutions and keeping geoscientists in the loop
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Dealing with subsurface uncertainties at different scales
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Use of analogues and ensuring geological plausibility
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Moving from a qualitative to a quantitative analysis of the subsurface
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Developing and implementing optimal training datasets
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Enhancing knowledge and skills for the next generation of subsurface geoscientists
The above will be discussed at a variety of scales – including regional exploration-scale understanding, reservoir-scale modelling and rock property characterisation and will encompass petrographic, sedimentological, and structural elements.
Call for abstracts now open
The call for abstracts for this conference is now open until Friday 4 September 2026.
For further information, please contact: energygroup@geolsoc.org.uk
Submit an abstract