A video introduction to iGP: the interface between GiD and PFLOTRAN

Aitor Iraola & Paolo Trinchero 29/02/16

Captura de pantalla 2016-02-29 a las 10.26.30

iGP (interface between GiD and PFLOTRAN) is a recently developed tool that provides a fully integrated pre- and post-processing environment to PFLOTRAN. In the following webcast, Aitor Iraola describes how a PFLOTRAN reactive transport model can be readily set, solved and post-processed using iGP.

 

Background

Before joining our company as a staff consultant, Aitor spent a six months internship at Amphos 21, where he worked (hard) on the development of a pre- and post- processing interface to PFLOTRAN.

Aitor’s thesis laid the ground for a fruitful cooperation with the International Center for Numerical Methods in Engineering (CIMNE), a research and development organization based in Barcelona (Spain). One the CIMNE’s key products, GiD, was used to provide a customized pre- and post- processing framework to PFLOTRAN. Aitor’s work also greatly benefited from the advice and support of the PFLOTRAN community.

 

The tool: iGP

iGP stands for interface between GiD and PFLOTRAN.

GiD is a powerful universal, adaptive and user-friendly pre- and post-processor for numerical simulations in science and engineering and is developed by the International Center for Numerical Methods in Engineering (CIMNE).

PFLOTRAN is an open source, state-of-the-art flow and reactive transport code.

iGP provides a powerful and user-friendly pre- and post-processing environment to PFLOTRAN. In iGP, the user can implement complex geometries, define different regions, set different materials, apply different boundary and initial conditions, mesh the domain (using structured, semi-structured or fully unstructured grids), run PFLOTRAN and post-process the results.

In the following webcast, Aitor explains the steps to set, run and post-process a PFLOTRAN model using iGP.

For more information on iGP, please contact us.

 

The author of the webinar

Aitor Iraola
Aitor Iraola holds a Master degree (MSc) in Modelling for Science and Engineering from the Universitat Autònoma de Barcelona (UAB) and a physics degree from the Universidad del País Vasco (UPV/EHU). He is now working as a staff consultant in Amphos 21.

The author of the post

Paolo Trinchero
Paolo Trinchero holds a PhD in Geosciences from the Technical University of Catalonia (Spain). Paolo’s areas of expertise include stochastic hydrology, geostatistics and numerical modelling. Paolo has several publications in peer reviewed journals and congress proceedings. He is currently senior consultant at Amphos 21 where he deals with different projects related to subsurface flow and transport modelling.
 

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