... frequency neural network flow rate principal component rnn artificial intelligence feedforward ann Slugging Monitoring and Classification with Machine Learning P. Shoeibi Omrani, I. Dobrovolschi, K. Loh, S.P.C. Belfroid Heat Transfer and Fluid Dynamics department, TNO, The Netherlands ABSTRACT...

... integrity well integrity artificial intelligence real-time well integrity bhr group mpt2019 well event upstream oil & gas well state corrosion construction workflow library pattern library integrity issue detection classification application machine learning A Real-time Well...

... reservoir surveillance real time system multiphase facility artificial intelligence video snapshot flow structure flow pattern x-ray output X-ray 2D and 3-Phase computed tomography (CT) measurements of multiphase flows: digital reconstruction of multiphase flow maps suitable for high pressure...

... platform to the refinery, and in pipe separators where low velocities exist. fluid dynamics pipe flow dispersion evolution separation droplet mechanistic model voulgaropoulo prediction diameter average dense-packed zone interface upstream oil & gas artificial intelligence...

... control fluid dynamics flow in porous media barnea terminal velocity critical bubble diameter production monitoring gas void fraction upstream oil & gas diameter transition model production logging validation prediction machine learning artificial intelligence bubble diameter 1...

... main flow regimes are observed: separated, intermittent, and dispersed flow. phase distribution gas-liquid flow gas-water flow artificial intelligence configuration interfacial perimeter two-phase flow annulus configuration inner pipe production control flow structure slug flow...

... injectable venturi injection pressure drop pipeline transient behavior reduction reservoir surveillance valve gas injection riser base pressure fluctuation flow rate experiment slug catcher artificial intelligence stability production logging bottom-hole pressure production control plain...

... artificial intelligence hydrate blockage risk slurry viscosity severity flowline simulation hydrate formation continental shelf probability Assessing hydrate blockage risk in oil pipelines: deploying a new transient simulation capability B W E Norris, M L Johns, E F May, Z M Aman Fluid Science...

... pressure drop production monitoring annulus flow superficial velocity diameter bhr group 18 liquid holdup artificial intelligence reservoir surveillance two-phase flow frictional pressure drop annulus geometry oil-water flow production control water cut usl 1 An experimental study of two...

... reservoir surveillance taylor bubble simulation production logging equation liquid slug body experiment production monitoring pressure drop pipe bhr group 18 cfd simulation artificial intelligence vertical pipe openfoam CFD for multiphase flow in vertical risers F Tocci Politecnico di...

... monitoring flow assurance challenge artificial intelligence variability risk and uncertainty assessment Decision analysis in multiphase flow: uncertainty, risk and application B L Keinath ExxonMobil URC, USA 1 ABSTRACT Risk and uncertainty play an important role in design and operation of complex oil...

... surveillance multiphase flow production logging slug length distribution tail velocity simulation upstream oil & gas slug frequency slug flow prediction experiment production control slug front slug catcher artificial intelligence slug length Validation of a physically-based model...

... prediction interface production control production logging genetic algorithm reservoir surveillance coefficient droplet diameter liquid droplet concentration profile pipe diameter artificial intelligence correlation Modelling of liquid droplets concentration profiles in stratified-annular flows...

... as liquid slug. slug flow jeyachandra closure relation reservoir surveillance two-phase slug flow bhr group 2015 vertical pipe chemical engineering science terminal velocity taylor bubble upstream oil & gas experimental data liquid vertical tube correlation artificial intelligence...

... equation upstream oil & gas phase distribution bhr group 2015 multiphase flow simulation multiphase 17 liquid structure particle experimental data void fraction slug time series frequency reservoir surveillance artificial intelligence production monitoring Computational fluid...

... et al. (5) and Folletti et al. (6) have reported increased intermittent flow region in their studies. oil superficial velocity production logging nominal oil viscosity mean liquid holdup production control artificial intelligence upstream oil & gas slug frequency reservoir...

... constraint flow rate water cut production system algorithm model-based optimization production gathering network case 1 bhr group 2015 artificial intelligence well 1 esp frequency optimization engine optimization optimization problem solver optimizer frequency Exploring the potential...

... artificial intelligence upstream oil & gas production system gvf multiphase 17 module operation ledaflow bhr group 2015 inlet fraction flowline control strategy downstream flowline valve subsea interaction artificial lift system multiphase pump hydraulic jet pump Subsea multiphase...

... Glycol optimisation of a large wet gas network and hydrate management of a new oil well tieback to an existing facility upstream oil & gas monte carlo simulation flow rate artificial intelligence calculation water cut machine learning hydrate dissociation curve maximus model...

... gokcal prediction production logging liquid viscosity artificial intelligence horizontal pipe high viscosity liquid production monitoring viscosity liquid schulke gas flow superficial velocity bhr group 2013 production control pipe reservoir surveillance correlation Slug frequency...