ML Well Curve Prediction

Description Predict and fill missing values in well log data using a trained machine learning model.
Module(s) Lithofluids

This process predicts whole log curves and fills missing values in existing log curves using a trained machine learning model. It accepts up to ten input curves representing different measurement types. Missing curves and missing values (NaNs) in each curve are inferred using patterns learned from the available data across all provided inputs. Output curves will exactly match the input where values are present.

  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 Well Curve 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. Leave blank the curves that you would like to predict.
  2. Output
    • Enable custom name: If enabled, the specified name is used as a prefix for the output curve names. The custom name should be unique for each ML Well Curve 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.