ML Lithology Prediction

Description Generate lithology probability curves using machine learning.
Module(s) Lithofluids

This process accepts up to nine input curves corresponding to different measurement types and returns probabilities for 16 different lithologies at each depth sample, as predicted by DUG Insight's Machine Learning model.

The value at each depth indicates the probability that the corresponding depth is composed primarily of this lithology. It does not indicate a relative volume like petrophysical interpretation curves do.

  1. In the Control Panel, go to View > New Single Well View.
  2. In the Single Well window, open the Process tab.
  3. At the tab header, click the blue "+" icon.
  4. Click ML Lithology Prediction.
  5. Type a name for the process and click OK.

Configure the ML Lithology Prediction process

  1. Input
    • Curves: Select the relevant input curves.
  2. Output
    • Enable custom name: If enabled, the specified name is used as prefix for the output curve names. The custom name should be unique for each ML Lithology Prediction process.
    • Extent: Determines the sampling grid for the output curves. All input data is resampled onto the output grid before being passed through the inference model.