− A mixture probabilistic Principal Component Analysis (PCA) model is proposed as a multivariate process monitoring tool in this paper. High dimensional measurement data could be aggregated into some clusters based on the mixture distribution model, where the number of these clusters is automatically determined by the maximum likelihood estimation procedure. The multivariate statistical process...

Control of wellbore pressure during drilling operations has always been important in the oil industry as this can prevent the possibility of well blowout. The present research employs a combination of automatic process control and statistical process control for the first time for the identification, monitoring, and control of both random and special causes in drilling operations. To this end, ...

Traditional performance monitoring methods have an overhead that is proportional in both space and time to the spill rate. They are not scalable in a distributed computing environment of hundreds or even thousands of managed nodes; the large quantity of data collected cannot be pushed or pulled efficiently across the network for displaying/reporting. In this paper we propose a few scalable alte...