Advances in Numerical Modelling of Geological Processes: Methods and Applications
Co-organized by TS8
Orals
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Tue, 25 Apr, 16:15–18:00 (CEST) Room N1
Posters on site
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Attendance Tue, 25 Apr, 08:30–10:15 (CEST) Hall X2
Combining such data with process-based numerical models provides deeper understanding of the dynamical Earth. Process-based models are powerful tools to predict the evolution of complex natural systems resolving the feedback among various physical processes. Integrating high-quality data into numerical simulations leads to a constructive workflow to further constrain the key parameters within the models. Innovative inversion strategies, linking forward dynamic models with observables, is therefore an important research topic that will improve our knowledge of the governing physical parameters.
The complexity of geological systems arises from their multi-physics nature, as these systems combine hydrological, thermal, chemical and mechanical processes (e.g. Earth’s mantle convection). Multi-physics couplings are prone to nonlinear interactions ultimately leading to spontaneous localisation of flow and deformation. Understanding the couplings among those processes therefore requires the development of appropriate tools to capture spontaneous localisation and represents a challenging though essential research direction.
We invite contributions from the following two complementary themes:
1. Computational advances associated with
- alternative spatial and/or temporal discretisation for existing forward/inverse models
- scalable HPC implementations of new and existing methodologies (GPUs / multi-core)
- solver and preconditioner developments
- AI / Machine learning-based approaches
- code and methodology comparisons (“benchmarks”)
- open source implementations for the community
2. Physics advances associated with
- development of partial differential equations to describe geological processes
- inversion strategies and adjoint-based modelling
- numerical model validation through comparison with observables (data)
- scientific discovery enabled by 2D and 3D modelling
- utilisation of coupled models to explore nonlinear interactions
16:15–16:18
Introduction
Methods
16:28–16:38
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EGU23-13391
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ECS
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On-site presentation
16:38–16:48
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EGU23-3521
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ECS
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On-site presentation
16:48–16:58
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EGU23-1613
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ECS
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On-site presentation
16:58–17:08
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EGU23-6105
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On-site presentation
Applications
17:08–17:18
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EGU23-17169
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On-site presentation
17:18–17:28
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EGU23-11019
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ECS
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Virtual presentation
17:28–17:38
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EGU23-12057
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ECS
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On-site presentation
17:38–17:48
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EGU23-12654
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ECS
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On-site presentation
17:48–17:58
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EGU23-11502
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ECS
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On-site presentation
17:58–18:00
Outlook
X2.224
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EGU23-9242
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solicited
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Highlight
X2.228
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EGU23-11594
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ECS