Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness

Alanazi, Abdullah K.Abdullah K.AlanaziAlizadeh, Seyed MehdiSeyed MehdiAlizadehNurgalieva, Karina ShamilyevnaKarina ShamilyevnaNurgalievaNesic, SlavkoSlavkoNesicGrimaldo Guerrero, John WilliamJohn WilliamGrimaldo GuerreroAbo-Dief, Hala M.Hala M.Abo-DiefEftekhari-Zadeh, EhsanEhsanEftekhari-ZadehNazemi, EhsanEhsanNazemiNarozhnyy, Igor M.Igor M.Narozhnyy2023-08-032023-06-202023-08-0320222076-3417WOS:000755051900001https://imec-publications.be/handle/20.500.12860/41904Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer ThicknessJournal article10.3390/app12031336WOS:000755051900001GAMMA-RAY ATTENUATIONVOID FRACTION MEASUREMENTWILKINSON POWER DIVIDERLIQUID-PHASE DENSITYRHEOLOGICAL PROPERTIESHARMONIC SUPPRESSIONDESIGNCOMPACTPREDICTIONPETROLEUM