The Contaminants extension for Leapfrog Works provides intuitive and robust geostatistical tools to create transparent and defensible estimates of contaminant mass and location in saturated and unsaturated zones.
Accessible, best practise plume modelling for geoscientists and stakeholders within Leapfrog Works
Talk to an expertTry it todayThe Contaminants extension for Leapfrog Works provides intuitive and robust geostatistical tools to create transparent and defensible estimates of contaminant mass and location in saturated and unsaturated zones.
Integrate contamination models alongside your geological models to see the full picture.
Quickly model different hypotheses and test your assumptions around the contaminated zone. Apply different parameter inputs and instantly see how they affect the end results.
Understand variance within the models.
Calculate contaminant mass and volumes at different concentration thresholds.
Use interactive controls and querying functions that make running geostatistics, including variography, intuitive to team members.
Onboard new users quickly with world-class support and training.
The Contaminants extension for Leapfrog Works brings contaminant modelling into your geological models.
Add standard geostatistical tools, like kriging, alongside enhanced variography and isosurfacing in your Leapfrog models.
Create the best interpretation and validate the results in a 3D interactive environment. Variography results can be queried in a transparent easy-to-navigate interface.
Produce plume models that evolve automatically as new data is added. Manage models and linked outputs for reporting, like cross-sections, 3D views, contaminant mass, and impacted soil volume calculations.
The variogram and data that makes up the interpolant is transparent and auditable. Powerful interrogation tools reveal the data driving your decisions.
Use block models to calculate contaminant mass and volumes at different concentration thresholds.
Integrate your environmental plume model with your geological models using intuitive and robust geostatistics modelling tools.