... in significant OPEX reduction. production control flowline deposition instrumentation hydrate inhibition artificial intelligence production chemistry simulator remediation of hydrates reservoir surveillance chemical usage production logging accuracy hickman exxonmobil urc scale inhibition...

... production control artificial intelligence application experiment multi-fidelity model transition concentration multiphase 11 simulation university production logging (One possible) future of multiphase flow modelling and simulation O K Matar Department of Chemical Engineering, Imperial College...

... flow direction different flow pattern stationary solid bed mass conservation conservation upstream oil & gas multiphase flow flow pattern fluid dynamics momentum conservation artificial intelligence real time system Transient solid-liquid two-phase flow modelling and its application...

... loading artificial intelligence upstream oil & gas fraction slug flow An analysis of the coupled effects of mass transfer, slug flow hydrodynamics and heat transfer during hydrate formation using a quasi-stationary mechanistic model C L Bassani, F A A Barbuto, R E M Morales Multiphase Flow...

... 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...

... group 2016 production monitoring test section entrainment pressure gradient transition production logging university entrained bubble reservoir surveillance upstream oil & gas artificial intelligence annular flow alberta superficial liquid velocity disturbance wave friction factor...

.... 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...

... trallero upstream oil & gas production monitoring dataset production control artificial intelligence probability acceptable data multiphase flow experimental study production logging flow pattern classification bhr group 2016 reservoir surveillance pipe transition zone bayesian...

... empirically through flow experimental data 4 . momentum equation upstream oil & gas equation production logging prediction experimental data particle information university of tulsa fluid dynamics erosion prediction flow regime reservoir surveillance solid particle erosion artificial...

.... 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...

... oil & gas sl 0 interface wire-mesh sensor artificial intelligence liquid film height wave frequency time trace wetted pipe perimeter production control configuration Spatio-temporal features of air-oil interface for stratified-wavy two phase flow in horizontal pipes with a 6-inch...

.... intermittency force balance production monitoring slip node separated flow production logging upstream oil & gas representation bhr group 2014 mass balance flow pattern gas core pipe segment area fraction artificial intelligence node 2 equation slug flow fraction reservoir surveillance...

... & gas bhr group 2012 liquid stream retrograde behaviour production fluid artificial intelligence fraction vapour light component Pseudo component model to calculate retrograde behaviour of gas mass fraction E Smith, E Dudley, D Erickson MSi Kenny, USA A fast pseudo-composition model is put...

.... liquid holdup output uncertainty liquid entrainment pressure drop monte carlo simulation production control artificial intelligence reservoir surveillance reservoir simulation taylor series expansion bhr group 2012 production monitoring perturbation method slug length production logging...

..., an algebraic slip model for the relative velocity between the oil and the water was utilized. artificial intelligence bhr group 2012 production control simulation slug unit pipe momentum balance norwegian university phase velocity simulator formulation production monitoring equation slip...

... 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...

... are presented. cross section petroleum institute fluid dynamics multiphase 7 artificial intelligence new wireless sensor-based tomographic device sensor reconstruction algorithm pipe bhr group 2010 upstream oil & gas chaklab electrical engineering department liquid saturation multiphase...

... geometry flow rate liquid flow rate bhr group 2010 artificial intelligence slug frequency equation holdup gas flow rate terrain upstream oil & gas riser momentum balance inlet pressure sl 0 experiment Dynamic multiphase flow models for control C Martins da Silva 1,3, F Dessen 2, O J...

... 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...

... drilling operation reservoir surveillance transport velocity particle size transportation upstream oil & gas artificial intelligence particle radial transport mechanism directional drilling production logging coherent structure observation area shear velocity concentration frequency...