[CIG-ALL] EGU 2020 - Advances in Numerical Modelling of Geological Processes: Methods and Applications (including GD Division Outstanding ECS Lecture)

[Ludovic Raess]

Dear Colleagues,

We would like to draw your attention to the session GD 10.1 "Advances in Numerical Modelling of Geological Processes: Methods and Applications (including GD Division Outstanding ECS Lecture)" to be held as part of the upcoming General Assembly of the European Geosciences Union (Vienna, Austria, 3-8 May 2020).

For those interested in the application and the development of numerical models for studying geological processes, we invite you to submit an abstract (session description below).

The deadline for abstracts is January 15, 2020 - 13:00 CET.

Abstract submission can be done via the session website:

https://meetingorganizer.copernicus.org/EGU2020/session/34744

We wish to highlight that our session includes the GD Division Outstanding ECS Lecture by Dr. Tobias Keller (Uni Glasgow<https://www.gla.ac.uk/schools/ges/staff/tobiaskeller/>).

Best regards,

Ludovic Räss
Thibault Duretz
Boris Kaus
Dave May

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Session Description
Advances in Numerical Modelling of Geological Processes: Methods and Applications
[GD10.1/EMRP1/SM7/TS10]

Geological and geophysical data sets are in essence the output of physical processes governing the Earth’s evolution. Such data sets are widely varied and range from the internal structure of the Earth (e.g. seismic tomography), plate kinematics (e.g. GPS), composition of geomaterials (e.g. petrography), estimation of physical conditions and dating of key geological events (e.g. thermobarometry), thermal state of the Earth (e.g heat-flow measurements) to more shallow processes such as natural and “engineered” reservoir dynamics and waste sequestration in the subsurface (e.g. seismic imaging).

Combining the abundant data to process-based numerical models fosters our understanding of the dynamical Earth. Process-based models are powerful tools to predict the evolution of complex natural systems resolving the feedbacks among various physical processes. Integrating high-quality data into direct 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, are topics triggering a growing interest within the community.

The complexity of geological systems arises from their multi-physics nature, as they combine hydrological, thermal, chemical and mechanical. Multi-physics couplings are prone to nonlinear interactions ultimately leading to spontaneous localisation of flow and deformation. Understanding the couplings among those processes 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
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