Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
ERE5.6 | Phase-Field Modeling in Geoscientific Applications
EDI
Phase-Field Modeling in Geoscientific Applications
Convener: Tuanny CajuhiECSECS | Co-conveners: Mostafa MollaaliECSECS, Keita Yoshioka
In many instances, geoscientific applications face with sharp interfaces, such as fractures, faults, bedding-planes, mineral dissolution/formation or phase-changes. These sharp interfaces often pose challenges in numerical modeling as they may require conforming grid or generate discontinuities in solution search. To mitigate the challenges, phase-field modeling has emerged as a valuable tool, which provides a continuous representation of discontinuities, circumventing the challenges of tracking sharp interfaces. This approach offers improved predictions and insights into geo-material behavior across various scenarios. Given their increasing popularity, we are hosting a session dedicated to phase-field modeling in geoscientific applications such as fracturing, mineral dissolution or precipitation, and induced seismicity in geological carbon storage.

We welcome contributions:
- to present recent developments in phase-field modeling in geoscientific applications, with focusing on techniques for improving modeling and computational efficiency,
- to address challenges ranging from microscale to field-scale applications, and potential solutions for overcoming the challenges,
- to encourage interactions between experimentalists and/or modelers for enhancing the real-world application of phase-field modeling in geoscientific research,
- to share your insights on how AI can enhance phase-field modeling in geoscientific applications by addressing computational challenges inherent in this method.

We look forward to the insights and contributions of scientists, researchers, and practitioners working with phase-field modeling in geoscientific contexts in order to increase the discussion on findings, methodologies, and challenges, especially those encountered at field-scale scenarios.