New sensors among them distributed acoustic sensing, UAVs and lab at rig systems provide a wealth of information about the subsurface that can be used to sharpen our images and provide information about the processes in the subsurface, for example in the context of monitoring subsurface storage sites of CO2 and Hydrogen. This session not only focuses on the development of new sensing systems but also on novel methodologies to use the data they collect to better constrain complex models of the subsurface and processes. We are particularly interested in approaches inspired by ML/AI to make sense of the information contained in the data.
Sedimentary basins and the associated resources are the result of a range of dynamic processes. This session seeks to advance the understanding that can be gained through modelling these processes particularly in the context of assessing the potential of a sedimentary basin to host mineral, water and energy resources. We particularly welcome contributions aimed at the optimized development of natural resources, better delineation of geo-storage options and understanding of geodynamic and landscape processes archived in the stratigraphic record.
Critical minerals are essential for our modern technologies, economies and national security, from advanced technologies and electronics to low-emission technologies. Supply risks and availability or disruption of critical mineral supply chains places particular importance in the assessment and foundation for critical mineral exploration. As our demand for critical minerals increases for a modern technology and clean energy world, we need to find cost-effective and efficient strategies for finding and extracting these commodities. This session aims to explore all essential aspects to critical minerals, from deep earth mineral exploration and imaging to how critical mineral ore bodies form and the application of mine waste recovery for critical mineral resources.
Detailed studies along deep crustal transects particularly when seeking to fuse different sources of data remain an excellent way to explore the deep earth at high resolution. Here we seek a mix of case studies focused on specific transects and introductions of methodologies to infer petrophysical or geological parameters along a transect to image and conceptualise the geological structure. We are particularly interested in studies where recovered geological parameters are used for subsequent predictive applications around the existence of mineral, water and energy resources.