BOREHOLE HOLDUP PREDICTION USING MACHINE LEARNING AND PULSED NEUTRON LOGGING TOOL DATA
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United States of America Patent
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Issued Date -
Oct 3, 2024
app pub date -
Apr 3, 2023
filing date -
Apr 3, 2023
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Abstract
In some implementations, a method for controlling a learning machine to predict fluid holdup in a borehole comprises generating an expanded dataset of simulated pulsed neutron logging (PNL) data based, at least in part, on an original dataset of empirical PNL data, converting, using one or more calibration coefficients, the simulated PNL data into lab-equivalent synthetic data, and training an ensemble of machine learning models based on the lab-equivalent synthetic data.
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