Coupling local geological data into Model Muse with Python and Aquifer App

There are many topics to take into account when we create a groundwater flow model. One of the most important is to represent the available geological information into the distribution the hydraulic parameters. We have researched a simple and reproducible workflow to create a geological model from point shapefile and insert the modeled geological units into Model Muse with corresponding K values. This webinar cover the whole procedure to create a geological model with Gempy and Aquifer App and the necessary codes to create a xyz shapefile that is later imported in Model Muse with the Kx value extracted from the attribute table.

Instructor / Instructor:

Saul Montoya M.Sc

Hydrogeologist - Numerical Modeler

Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics. Mr Montoya has a strong analytical capacity for the interpretation, conceptualization and modeling of the surface and underground water cycle and their interaction. He is in charge of numerical modeling for contaminant transport and remediation systems of contaminated sites. Inside his hydrological and hydrogeological investigations Mr. Montoya has developed an holistic comprehension of the water cycle, understanding and quantifying the main hydrological dynamic process of precipitation, runoff, evaporation and recharge to the groundwater system.

Language / Lenguaje:

English

Event date / Fecha del evento:

Monday, Set 02 2024 6:00 p.m. Amsterdam Time

Hosted by / Organizado por:

Hatarilabs

Stream link / Enlace de transmisión:

https://meet.google.com/xjn-fvxg-mxv

Input data / Datos de entrada:

https://owncloud.hatarilabs.com/s/JCoJNdVQzPHws0p

Additional instructions / Instrucciones adicionales:

Password to download data: Hatarilabs. You need to have Anaconda installed.