PICO
Accurate knowledge and understanding of the subsurface stress state and their variation are crucial for a wide range of topics, from plate tectonics and geohazards to mass transport and engineering applications. Conventional and emerging applications such as geothermal energy, Carbon Capture and Storage (CCS), hydrogen or gas storage or disposal of nuclear waste are pivotal for a low-emission society, with their efficacy heavily reliant on knowledge of the subsurface stress state. The difficulty in determining the stress state and constraining subsurface structures though requires advances in modelling algorithms and inversion methods, as well as the development of concepts, experiments, and new measuring techniques.
This session calls for contributions that showcase novel methodologies and/or ambitious case studies. Topics of interest include, but are not limited to:
- Advances in stress orientation and magnitude estimation
- New methodologies for 3D geomechanical modelling, including deterministic, stochastic, hybrid approaches or stress state visualisations
- Outstanding case studies highlighting crustal stress characterisation, fault stability, and/or the application of geomechanical modelling
- Advances in computational efficiency and uncertainty quantification
- Innovative use of machine learning and AI in enhancing models and approaches
This session brings together geoscientists, modellers, and computational experts from an academic and application background to discuss the latest advancements and challenges, offering insights into the future direction of characterizing the present subsurface stress state.
Barnabás Kövér