... upstream oil & gas reservoir surveillance pipe wall pipeline heating power installation sensor temperature differential production monitoring stationary bed production control hot spot production logging delta temperature artificial intelligence bhr group 2016 spool piece machine...

.... This measure of performance uses four different formulas of experimental error, four of variance, and one of model inadequacy. matrix gas-liquid point model correlation artificial intelligence machine learning upstream oil & gas elevation profile brill algorithm pressure drop prediction...

..., mixture viscosity and water holdup, understanding the behavior of liquid-liquid flow is crucial. Thus, flow pattern maps or simulation tools are required. horizontal pipe boundary experimental data horizontal pipeline international journal oil-water flow flow pattern map machine learning...

.... application artificial intelligence correlation database production logging prediction interval diameter estimation actual model discrepancy machine learning coefficient multiphase flow dimensionless group experimental data production monitoring university of tulsa reservoir surveillance...

... pipeline transient behavior probability distribution poisson probability model artificial intelligence slug frequency machine learning slug flow correlation prediction bhr group 2012 slug catcher experimental data independent variable coefficient modeling probability slug frequency...

... machine learning kalman filter axial outlet separation efficiency separation and treating artificial intelligence compact separator loss coefficient upstream oil & gas separator liquid flow rate flow rate gcu cyclonic separator gravity separator inverse function experiment equation...