Construction of complex and high performance groundwater modes requires an appropriate distribution of the hydrogeological units with depth. We have developed an applied case of 3D modeling of hydrogeological units from data provided as raster (*.tiff) files. The webinar all steps from orientation and elevation sampling from raster data, the conceptualization and setup of the Gempy model in Aquifer App and finally the postprocessing of the 3D lithology based on the surface elevation. The input data comes from the USGS research on the aquifer Systems in the Williston and Powder River Structural Basins, United States and Canada.

We have developed an applied case of groundwater model discretized from ESRI Shapefiles with refinement areas. Boundary conditions are also set up from spatial data with the intersect functionality of Flopy. Model surface and layer bottom are imported / processed from xyz point data. The simulation is run for one steady  and ten transient stress periods and results are plotted for head on aerial view and cross section.

In order to improve the accuracy of a groundwater flow simulation we need a strong conceptual model, a high quality observation dataset and a numerical code that can handle specific characteristics of the groundwater flow we want to evaluate. MODFLOW 6 can deal with variable density flow with the BUY package and also with variable viscosity with the VSC package that is implemented on the latest versions of Model Muse. This webinar covers an applied case of variable viscosity modeling due to the injection of salinity and heat to a model with regional groundwater flow. The main features for the implementation of the VSC package are explained and the resulting concentrations on two observation points are evaluated with Flopy codes.

This webinar covers an applied case of regional groundwater modeling with a group of regional fractures that define areas of small cell size. The applied case covers the construction of a groundwater model with a refinement that ranges from 100m on the outer parts of the model to 15 meters in the area close to the faults.

The application of PEST to real conditions is a challenge since it involves the setup of the automated parameter estimation and the complexities of the groundwater response. We have developed an applied case of automatic parameter estimation on a groundwater flow model related to a site drainage with 6 pumps and steel sheet piles. The calibration is based on observations from a pumping well and two outer monitoring points over a period of 120 days. The case involves as well the sensitivity analysis of hydraulic conductivities from heterogeneous soil and sheet piles together with the conductance of neighboring water channels.

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.

Aquifer App offers a friendly, clean and powerful way to create Gempy scripts for geological modeling. We have developed an applied case of a 3D petroleum system model for a part of the Williston Basin, USA that contains the Nesson Anticline. Top layer information was provided as raster format where elevation and orientation for random points were extracted with Python codes using the Gemgis package and exported in Gempy input file format. On Aquifer App the processed CSV files were inserted and the geological model was set up with the corresponding geological sequence. 

Lithium is present in some salt lakes along with other brines in different concentrations. In order to simulate the right groundwater flow regime of Lithium brine along other brines we need to model variable density flow from multiple species. This type of modeling is possible on the latest versions of Modflow 6 with the BUY package and Model Muse. 

We have developed an applied case of variable density flow modeling on a andean salt lake that is pumped from 3 wells in 10 years. The model has a grid refinement close to the lake and works with 6 brines: B(OH)3, NaHCO3, NaCl, KHSO4, LiHSO4 and NaHSO4. The example implements the BUY package with all the required parameters together with the configuration of the boundary conditions and initial conditions. Concentration and water balances are processed with Python to evaluate the brine migration over time and the impact of pumping on the water balance.