Prediction and experimental study of gas-water-foam three-phase flow patterns in vertical wells using BKA-BP neural network

Key Points

• Gas-water-foam three-phase flow patterns are predicted and analyzed in vertical wells, enhancing understanding of multiphase fluid dynamics.
• Modeling using the BKA-BP neural network demonstrates a significant correlation with observed flow behaviors, achieving 92% accuracy.
• The experimental study was conducted over multiple trials in controlled conditions, monitoring flow patterns during variable gas and foam levels.
• Implications for improved predictive capabilities in vertical well operations may lead to increased efficiency in hydrocarbon recovery.