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Keywords: machine learning
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Proceedings Papers
Novel instrumentation for online monitoring of stationary beds and their height for settling slurries
Available to PurchasePublisher: BHR Group
Paper presented at the 10th North American Conference on Multiphase Technology, June 8–10, 2016
Paper Number: BHR-2016-117
... 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...
Proceedings Papers
A comparison of 35 gas-liquid point models in a low-liquid loading subsea gas line: A technology classification effort
Available to PurchasePublisher: BHR Group
Paper presented at the 10th North American Conference on Multiphase Technology, June 8–10, 2016
Paper Number: BHR-2016-285
.... 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...
Proceedings Papers
Probabilistic proposal of an oil-water flow pattern map for horizontal pipelines
Available to PurchasePublisher: BHR Group
Paper presented at the 10th North American Conference on Multiphase Technology, June 8–10, 2016
Paper Number: BHR-2016-351
..., 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...
Proceedings Papers
Uncertainty analysis of multiphase flow - Case studies from erosion, sand transport, liquid entrainment models
Available to PurchasePublisher: BHR Group
Paper presented at the 10th North American Conference on Multiphase Technology, June 8–10, 2016
Paper Number: BHR-2016-473
.... 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...
Proceedings Papers
Probabilistic Modeling of Slug Frequency In Gas/liquid Pipe Flow Using Poisson Probability Theory
Available to PurchasePublisher: BHR Group
Paper presented at the 8th North American Conference on Multiphase Technology, June 20–22, 2012
Paper Number: BHR-2012-A024
... 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...
Proceedings Papers
Neural Network Based Performance Model of a Compact Axial Flow Cyclonic Separator
Available to PurchasePublisher: BHR Group
Paper presented at the 7th North American Conference on Multiphase Technology, June 2–4, 2010
Paper Number: BHR-2010-H2
... 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...