Adipec 2024
DOI: 10.2118/222598-ms
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Predicting HPAM Polymer Yield Viscosity using Neural Networks

Rémi Maillon,
Guillaume Dupuis

Abstract: This work follows paper SPE- 216592-MS presented in October 2023 and gives an update of the machine learning model developed by SNF to predict HPAM polymer yield viscosity under various conditions. Major improvements to the model are as follows: The random forest algorithm has been replaced by a neural network to predict EOR polymer yield viscosity. The rheological dataset has been extended to include more than 95,000 lab measurements compared to 69,000 previously. The rheological dataset has be… Show more

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