... the odorization process performance. An unsupervised machine learning method based on two different algorithms, the LOF (Local Outlier Factor) algorithm and the K-Means clustering, is developed, and then data mining is carried out on the dataset to extract useful information. The results show that the use...

... 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...

...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 2009. Pipeline Simulation Interest Group ...

... 19 October 17 19, 2001 Acknowledgements The authors would like to acknowledge the work performed on the design and implementation of the automatic predictor logic by Mr. Michael Dew. utilization line pack pipeline compressor mainline station data mining modeling & simulation forecast...

... 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...