[petsc-users] EGU 2019 session: Advances in Numerical Modelling of Geological Processes

[Dave May]

This EGU session (see description and link below) may be of interest to
some PETSc users.

Cheers,
  Dave


---------- Forwarded message ---------
From: Ludovic Raess <lraess at stanford.edu>
Date: Sat, 5 Jan 2019 at 15:16
Subject: [Myres_all] REMINDER - EGU 2019 session: Advances in Numerical
Modelling of Geological Processes
To: Ludovic Raess <lraess at stanford.edu>


Dear colleagues,


EGU 2019 will take place in Vienna, 7-12 April 2019.  The abstract
submission deadline is approaching (10 January 2019).


For those interested in the application and the development of numerical
models for the study of geological processes, feel free to join:


Advances in Numerical Modelling of Geological Processes
<https://meetingorganizer.copernicus.org/EGU2019/session/30976>


Session details can be find below.


Cheers,


T. Duretz, L. Räss, B. J. P. Kaus and D. A. May


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*Advances in Numerical Modelling of Geological Processes * [
GD8.1/EMRP1.81/SM7.6/TS11.6]



Geological and geophysical data provide quantitative information which
permit the advancement of our understanding of the present, and past,
interior of the Earth. Examples of such processes span from the internal
structure of the Earth, plate kinematics, composition of geomaterials,
estimation of physical conditions and dating of key geological events,
thermal state of the Earth to more shallow processes such as reservoir
geomechanics, or nuclear waste storage.


A quantitative understanding of the dynamics and the feedbacks between
geological processes requires the integration of geological data with
process oriented numerical models. Innovative inverse methods, linking
forward dynamic models with observables, are topics of growing interest
within the community. Improving our knowledge of the governing physical
parameters can thus be addressed while reconciling models and observables.


Resolving the interactions between various processes occurring at scales
differing from each other over several orders of magnitude in space and
time represents a computational challenge. Hence, simulating such coupled,
nonlinear physics-based forward models requires both the development of new
approaches and the enhancement of established numerical schemes.


The majority of geological processes combine several physical mechanisms
such as hydrological, thermal, chemical and mechanical processes (e.g.
thermo-mechanical convection). Understanding the tight couplings among
those processes represents a challenging and essential research direction.
The development of novel numerical modelling approaches, which resolve
multi-physics feedbacks, is vital in order to provide accurate predictions
and gain deeper understanding of geological processes.


We invite contributions from the following two complementary themes:


#1 Computational advances associated with

- alternative spatial and/or temporal discretisations for existing
forward/inverse models

- scalable HPC implementations of new and existing methodologies (GPUs /
multi-core)

- solver and preconditioner developments

- 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

- inverse and adjoint-based methods

- numerical model validation through comparison with natural observations
and geophysical data

- scientific insights enabled by 2D and 3D modelling

- utilisation of coupled models to address nonlinear interactions

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