Our research is pioneering technological advances in geological characterisation of the subsurface, de-risking subsurface operations in the low-carbon energy sector through multidisciplinary research that will link big-data analytics with new tools for subsurface modelling and characterisation. We are developing new predictive methodologies, and creating the research infrastructure and capabilities to underpin them, that will help us characterise subsurface porous geological media, such as sedimentary rock successions. Our research activities in this arena include:
- development of geological and petrophysical knowledge bases;
- creation of data-supported approaches for the erection of conceptual models of the subsurface;
- generation of new methods for subsurface geological modelling and uncertainty assessment based on the integration of artificial intelligence and geostatistics.
Practical application of research outcomes has demonstrated proof-of-concept of methods and technologies, and this is driving their uptake by industry, in part through commercialisation of Leeds’ technologies. Our broad expertise in subsurface geological characterisation, geoengineering methods and the social and political dimensions of subsurface energy ensures the University of Leeds is ideally placed to blend science and application, working across sectors and disciplines to achieve impact
