Prediction of Pressure Gradient in Two and Three-Phase Flows in Vertical Pipes Using an Artificial Neural Network Model

Keyphrases

• Two-phase Flow 100%
• Pressure Drop 100%
• Artificial Neural Network Model 100%
• Three-phase Flow 100%
• Vertical pipe 100%
• Pressure Gradient 100%
• Air-to-ground 66%
• Oilfield Produced Water 66%
• Gas Flow 33%
• Slug Flow 33%
• Production Rate 33%
• Flow Characteristics 33%
• Flow Pattern 33%
• Churn 33%
• Petroleum Industry 33%
• Oil Mixture 33%
• Physical Understanding 33%
• Main Flow 33%
• Annular Flow 33%
• Concurrent Flow 33%
• Two-phase Mixture 33%
• Water-air Mixture 33%
• Production Tubing 33%
• Superficial Gas Velocity 33%
• Phase Pressure 33%
• Superficial Liquid Velocity 33%
• Phenomenological Characteristics 33%

Engineering

• Artificial Neural Network Model 100%
• Phase Flow 100%
• Pressure Gradient 100%
• Pressure Drop 66%
• Slug Flow 33%
• Flow Characteristic 33%
• Flow Pattern 33%
• Petroleum Industry 33%
• Liquid Velocity 33%
• Diameter Pipe 33%
• Phase Mixture 33%
• Annular Flow 33%
• Air Mixture 33%
• Superficial Gas Velocity 33%
• Phase Pressure Drop 33%