Contaminant Models

The Contaminants extension adds the Contaminant Models folder to the project tree. The Contaminant Models folder contains two folders:

• With the Estimation folder, you can define a boundary and values to be used for a contaminant estimation. Once a contaminant estimation is defined, you can then define variograms, sample geometries and estimators inside it.
• With the Block Models folder, you can import block models in CSV format and create block models. You can then evaluate estimators on the block model and carry out reporting and validation tasks.

The contaminant modelling workflow is as follows:

• Data analysis. First, gain a thorough understanding of your data. Leapfrog Works has general tools that help you understand your data, which are described in Analysing Data. These tools help you become familiar with your data, identify possible errors and identify or confirm different mineralisation populations. Make sure that the data is clean, with special and invalid values in the assay data properly handled. See Handling Special Values for more details.
• Set up a contaminant estimation. A contaminant estimation defines the boundary and values that will be used in contaminant modelling. See Contaminant Estimations.
• Variography. A theoretical variogram model is proposed and tested using experimental variography. Kriging, nearest neighbour, inverse distance weighting or RBF estimators are defined. See Experimental Variography and Variogram Models.
• Define standard estimators. These will use the variogram models defined during variography and may also make use of a variable orientation. See Standard Estimators and Variable Orientations.
• Visualise estimators on block models. See Visualising Estimators and Block Models.
• Validate the models and report the results. Tools for validating and reporting results include block model interrogation, swath plots and reports. See Validation and Reporting.