DeepLait

DeepLait comprises a set of customizable tools for geoscience data processing and visualization.

The packages below can be customized to project specific procedures and datasets for the purpose of effeciency, consistency and productivity. The packages provide an additional dimension avenue to view data, support interpretation and perform modeling.

• Surface Data Interpolation and Visualization

Interpolation on scattered data points including surface geochemical samples. Conventional methods (linear, cubic, kriging, etc.) and machine learning

• Downhole Survey Validation

Automate the validation of downhole surveys (DHS) using appropriate validation criteria. Depends on the survey tools and methods used.

• Lithology Prediction

This tool can predict lithology up to an accuracy of 97% or more using geochemical or geological data using machine learning. Critical in addressing uncertainties.

• Lithology Classification

Classifies rocks into different groups based on geochemical and geological data using machine learning. Uses all available geochemical data per sample to classify rock type.

• Anomaly Prediction

Predict anomalous regions and visualize in 3D space (project coordinates) using machine learning. The tool can be customised to use all available datasets (geological, geochemical, geophysical) for anomaly prediction.

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