... ABSTRACT In this study the application of machine learning (ML) and data analytics for monitoring and classifying of slugging behaviour was investigated. Artificial neural networks (ANN) and principal component analysis (PCA) were used for slugging monitoring and for classification. Both...

... of potential issues is critical for maintenance planning. The field has a modern data gathering system, thus the use of high frequency data has been considered as an opportunity. After initial data analysis, a two-tier concept has been developed with an online machine learning system implemented...

... 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...

... 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...

... section upstream oil & gas fraction multiphase 16 machine learning production control production monitoring slug liquid holdup slug front viscosity artificial intelligence liquid viscosity multiphase flow reservoir surveillance correlation mechanism valve slug flow slug body bhr...

... liquid viscosity condition slug flow machine learning slug length distribution High viscosity liquid effect on two-phase slug length in horizontal pipes E Al-safran Petroleum Engineering Department, Kuwait University, Kuwait B Gokcal*, C Sarica TUFFP, University of Tulsa, USA * Currently...

... surveillance multiphase production technology 14 sensor pressure sensor machine learning flow loop neural network upstream oil & gas flow regime determination deep learning bhr group 2009 production control flow rate flow metering fraction algorithm artificial intelligence differential...

... phase flow rate predictions to within ±10% based on flow regime specific correlations. upstream oil & gas bhr group 2007 vector multiphase production technology 13 count signal neural network measurement and control training data production monitoring accuracy application machine...

.... The match is improved when the developed correlations were tuned using the statistical confidence intervals of their coefficients. production monitoring production logging production control pipeline transient behavior slug length distribution inclination angle machine learning artificial...

... machine learning artificial intelligence upstream oil & gas reservoir surveillance production monitoring neural network pressure 45 matrix point bhr group 2005 general model lockhart-martinelli parameter bar full range independent test flow metering flow rate multiphase production...