Integration of HEC-RAS with MODFLOW using mf6Voronoi Studio and Model Muse - Tutorial

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In this tutorial on the integration of HEC-RAS with MODFLOW using mf6Voronoi Studio and Model Muse, we will develop a complete step-by-step practical example, starting from an already built unsteady model in HEC-RAS from which we will export key depth and hydraulic elevation data for a specific datetime, information from which we will generate the optimized simulation voronoi mesh that we will later import into ModelMuse to structure our groundwater model incorporating River and General Head Boundary (GHB) boundary conditions, concluding with a detailed analysis of the distribution of hydraulic heads and the evaluation of the dynamic interaction between the different sections of the river and the aquifer system.

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Infrastructure Tunnel Impact Modeling on Groundwater Flow System with MODFLOW6 & Model Muse - Tutorial

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This tutorial demonstrates how to model the hydrogeological impact of an infrastructure tunnel on a regional groundwater flow system using MODFLOW 6 and Model Muse. The exercise simulates a four-year tunnel excavation process through a mountainous terrain bounded by two creeks, evaluating how gradual underground construction affects local water table levels and regional flow dynamics. The model uses an unstructured discretization grid (DISV) with Quadtree refinement along the river and tunnel paths, also the model incorporates local geology, dynamic drain boundaries, and transient stress periods to capture the groundwater system's response over time.

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Mesh Generation of Regional MODFLOW 6 Groundwater Flow Models with mf6Voronoi - Tutorial

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In this tutorial we introduce mf6Voronoi, a specialized tool for generating optimized Voronoi meshes for regional groundwater models capable of spanning thousand of square kilometers. The video demonstrates how to set up and run a Python script using Anaconda Prompt, leveraging Dask parallel processing to refine mesh resolution along key rivers and riparian ecosystems while maintaining a coarse discretization elsewhere. By utilizing multi-core computing, the workflow reduces total mesh generation time by approximately 40–45%, delivering a high-resolution, multi-scale MODFLOW 6 mesh consisting of over 150,000 cells in just a few minutes.

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Regional example of seawater intrusion modeling with MODFLOW6 and mf6Voronoi - Tutorial

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This is an applied example of seawater intrusion modeling using MODFLOW6 and the BUY package. The model is fully geospatial and works with ESRI Shapefiles and rasters (*.tif) as inputs. The model grid is based on Voronoi meshes generated with the Python package mf6Voronoi. Since there are so many concepts involved in the conceptualization of a variable density groundwater flow simulation with MODFLOW6 and Flopy, these cases use a code template from mf6Voronoi that simplifies the model construction and simulation. The applied case also gives us the chance to discuss the main parts of model setup.

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How to import and simulate a MODFLOW6 with Voronoi mesh model into Model Muse - Tutorial

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Did you know that you can import a Voronoi mesh MODFLOW 6 model created with mf6Voronoi into Model Muse. And you can not only import it, but also apply boundary conditions, solver parameters, review datasets, and simulate groundwater flow.

This tutorial shows a complete applied case for the import of the geometry and hydraulic parameters created with mf6Voronoi into Model Muse. The model is set up with boundary conditions, and simulated with different solver parameters.

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Simple example of seawater intrusion modeling with MODFLOW6 and mf6Voronoi - Tutorial

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We wanted to present seawater intrusion modeling in its more primitive form, on a simple aquifer conceptualization and aquifer geometry where the user can focus on the code implementation with MODFLOW6 - Buy package, Flopy and mf6Voronoi. We have also developed a precoded template for seawater intrusion that allows users to reduce time.

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Geological Modeling based on Machine Learning with Python and hatariTools - Tutorial

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This tutorial covers an applied case of geological unit modeling done on the Queens Mary Reservoir, London, UK based on 266 drillings. The geological model was done in Python with the machine learning library Scikit Learn to create a geological model based on lithology from drillings. The code generates a point cloud of drilling lithologies that are transformed and scaled for a neural network classifier like the Multi-layer Perceptron classifier. To validate the results of the geological model, an analysis of the confusion matrix from the neural network is performed. The tutorial includes a georeferenced 3D visualization and comparison from well lithology and interpolated geology as Vtk format in Paraview.

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7 tutorials of MODFLOW6 and mf6Voronoi for mine related groundwater modeling

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Mining hydrogeology is one of the most challenging faces of hydrogeology since its evaluations are key components for the mine operation and where groundwater related decisions are needed on a short timeframe. We have developed a series of tutorials that will introduce general groundwater modelers to the specific tasks of mine hydrogeology. This tutorial selection starts from regional modeling and goes into inflow and contaminant transport with different levels of complexity.

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How to create a Geospatial Raster from a projected Reservoir with Python and hatariTools - Tutorial

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The task to modify geospatial rasters considering future elements can be a complex task with the available GIS tools. We have optimized the way we can represent the surface of future (or current) water reservoirs on a fully geospatial raster. This tutorial shows the complete process to create a geospatial raster (TIF file) based on the contours from the dam and the reservoir extension.

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Contaminant Plume from a Tailings Storage Facility Modeling with MODFLOW6 and mf6Voronoi - Tutorial

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MODFLOW6 with mf6Voronoi can handle the simulation of specific tasks related to the mine industry. We have already covered the simulation of pit inflows with Voronoi meshes and now we are going to model the seepage from a tailings storage facility. The applied case covers all steps from mesh construction, flow model and transport model. Results are plotted on 2d and exported to 3d in Vtk format.

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Developing a regional groundwater model for a mine project with MODFLOW6 and mf6Voronoi - Tutorial

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Sometimes regional models are required as an input for local models of flow and transport. This is an applied case of the groundwater modeling on the regional scale in the state of Guerrero, Mexico that will be the input for future local models of pit dewatering, and contaminant transport from the tailings dam and waste dump. The groundwater model is built with MODFLOW6 and mf6Voronoi on a series of Jupyter Notebooks and results are plotted with Paraview.

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Determination of the Depression Cone from an Open Pit with MODFLOW6, Flopy and mf6Voronoi - Tutorial

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One of the key objectives from groundwater modeling in mining is the determination of pit inflows and the extension of the depression cone. This tutorial shows an applied case of determination of a depression cone from an open pit model built with MODFLOW6, Flopy and mf6Voronoi. The model has faults and the tutorial covers all steps from model import, data processing and export of geospatial data from the depression cone.

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Implementation of Faults and Zone Budgets on a Open Pit MODFLOW 6 Voronoi Model - Tutorial

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The interaction of faults with the groundwater flow regimen on an open pit is a challenge on the conceptualization and simulation. Having smaller cells on the faults alignment with higher K can represent the general behaviour of faults and this is possible to simulate with MODFLOW 6 Voronoi models with Flopy and mf6Voronoi package. We have created a tutorial that implements faults on the area of influence from an open pit and defines zone budgets for the pit and drainage network.

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Representation of Flow Direction Vectors from a Model Muse / MODFLOW6 model with mf6Voronoi - Tutorial

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This tutorial show the complete workflow to determine flow directions from a MODFLOW model done with Model Muse with the Mf6Voronoi utility FlowVectorGenerator that represent flow direction vectors in a Matplotlib figure. The function works not only with normal Modflow6 Dis models like the generated by Model Muse but also with Voronoi based Modflow6 Disv models. There is a capability to insert background images and other functionalities, however the styling options are closed in order to preserve the artistic style of the plot.

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Create 3D objects (Vtks) from a groundwater model in Model Muse with mf6Voronoi - Tutorial

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Model Muse is an awesome tool for groundwater model construction and output visualization, however its graphical capabilities are quite limited. Since we are always on the search of bringing groundwater model ‘close’ to the stakeholder, normal audience and coming generations, there is a special interest in providing complementary tools for the normal workflow with Model Muse and Modflow6 that allows the normal user to create awesome 3D objects representing:

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