... with the existing mechanistic models, indicating a great potential of utilizing the data-driven machine learning methodology for applications in flow assurance. production control machine learning artificial intelligence data mining production monitoring production logging reservoir surveillance...

... data mining upstream oil & gas operating condition artificial intelligence mg sm 3 florence engineering sm 3 offline monitoring method carlo carcasci psig 2213 outlier algorithm machine learning midstream oil & gas flow rate operation italy point value university psig...

...PSIG 2102 New Rupture Detection Data Mining Algorithms for Crude Oil Pipelines Yavuz Y lmaz1, 1 Emerson © Copyright 2021, PSIG, Inc. basis functions together with interaction e ects between the predictors are used to determine the response variable: MARS This paper was prepared for presentation...

... physical property transfer coefficient roughness coefficient tutorial energy transfer variation equation data mining reservoir surveillance diameter production monitoring pipeline modeling piping simulation flow rate friction factor node ABSTRACT Data Gathering Exercises Data used...

... mainline station data mining modeling & simulation forecast market area predictive model midstream oil & gas gas controller information expert system satellite station throughput artificial intelligence operation duke energy october 17 discharge pressure logic Pipeline...

... model successful implementation operational condition implementation configuration information dispatcher data mining modeling system scada system modeling & simulation real-time pipeline modeling system pipeline network operator operation pipeline real time system midstream oil...