TOUGH3-FLAC3D: A MODELING APPROACH FOR PARALLEL COMPUTING OF FLUID FLOW
AND GEOMECHANICS
Antonio Pio Rinaldi
Swiss Seismological Service, Swiss Federal Institute of Technology, ETHZ, Zurich, Switzerland, Swiss Seismological Service, Swiss Federal Institute of Technology, ETHZ, Zurich, Switzerland, Swiss Seismological Service, Swiss Federal Institute of Technology, ETHZ, Zurich, Switzerland
Corresponding Author:[email protected]
Author ProfileJonny Rutqvist
Energy Geosciences Division, LBNL, Berkeley, CA, USA, Energy Geosciences Division, LBNL, Berkeley, CA, USA, Energy Geosciences Division, LBNL, Berkeley, CA, USA
Author ProfileKeurfon Luu
Energy Geosciences Division, LBNL, Berkeley, CA, USA, Energy Geosciences Division, LBNL, Berkeley, CA, USA, Energy Geosciences Division, LBNL, Berkeley, CA, USA
Author ProfileLaura Blanco-Martín
Energy Geosciences Division, LBNL, Berkeley, CA, USA, Energy Geosciences Division, LBNL, Berkeley, CA, USA, Energy Geosciences Division, LBNL, Berkeley, CA, USA
Author ProfileMengsu Hu
Energy Geosciences Division, LBNL, Berkeley, CA, USA, Energy Geosciences Division, LBNL, Berkeley, CA, USA, Energy Geosciences Division, LBNL, Berkeley, CA, USA
Author ProfileManuel L Sentís
Swiss Federal Nuclear Safety Inspectorate (ENSI), Brugg, Switzerland, Swiss Federal Nuclear Safety Inspectorate (ENSI), Brugg, Switzerland, Swiss Federal Nuclear Safety Inspectorate (ENSI), Brugg, Switzerland
Author ProfileAbstract
The recent development of the TOUGH3 code allows for a faster and more
reliable fluid flow simulator. At the same time, new versions of FLAC3D
are released periodically, allowing for new features and faster
execution. In this paper, we present the first implementation of the
coupling between TOUGH3 and FLAC3Dv6/7, maintaining parallel computing
capabilities for the coupled fluid flow and geomechanical codes. We
compare the newly developed version with analytical solutions and with
the previous approach, and provide some performance analysis on
different meshes and varying the number of running processors. Finally,
we present two case studies related to fault reactivation during CO2
sequestration and nuclear waste disposal. The use of parallel computing
allows for meshes with a larger number of elements, and hence more
detailed understanding of thermo-hydro-mechanical processes occurring at
depth.