Classification of Sensor Measurements From Non-Newtonian Fluids Using Batch and Online Analysis of Data Conference Paper uri icon

abstract

  • Abstract With recent technological advancements most industrial processes collect an abundance of process data from sensors. Sensible utilization and interpretation of collected data is increasingly important. A primary objective of this work is to evaluate the potential of using only differential pressure measurements to classify operating flow rates of non-Newtonian fluids for single phase and multiphase flow conditions using both batch and online methods of data analysis. This was accomplished by using statistical tests and charts to monitor changes in the process mean and variance. For batch analysis, the two-sample t-test and the F-test for equality of variance provided classification accuracies of 100%, despite the presence of measurement noise, while advanced statistical hypothesis testing techniques, namely the generalized and exponential likelihood ratio charts, performed well for online analysis.

name of conference

  • Volume 9: Offshore Geotechnics; Petroleum Technology

published proceedings

  • Volume 9: Offshore Geotechnics; Petroleum Technology

author list (cited authors)

  • Sheriff, M. Z., Nounou, M. N., Rahman, M. A., Hassan, I., & Nounou, H. N.

complete list of authors

  • Sheriff, M Ziyan||Nounou, Mohamed N||Rahman, Mohammad A||Hassan, Ibrahim||Nounou, Hazem N

publication date

  • June 2023