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What is AI-Based IPR Prediction for Oil Wells about?

This paper presents a new approach using Artificial Intelligence techniques, specifically back propagation network (BPN) and fuzzy logic (FL), to predict the Inflow Performance Relationship (IPR) for vertical oil wells in solution gas drive reservoirs. The fuzzy logic model demonstrated superior accuracy over traditional empirical correlations, achieving an average absolute error of 1.8% and a correlation coefficient of 0.997. This method aims to enhance production management while reducing operational cost

Author

Sayed Gomaa

Language

EN