Analysis of the method of black box modeling of drill string dynamics by least squares method

Fesmi Abdul Majeed, Youssef Lotfy Abdel Magid, Hamad Karki, Mansour Karkoub

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The high dependency on oil and gas, leads the exploration and efficiency of the drilling process to be very demanding. Most of the tests conducted to study drill string nonlinearities and failures are performed by simulations on models derived for the purpose. Hence, mathematical modeling of a process is usually the first step taken to understand and analyze the dynamics of any process. Most of the mathematical models of the small scale experimental set ups of drilling rigs are developed by analytical modeling. This paper intends to project the use of Black box modelling procedure as a better, simpler and accurate alternate to analytical modeling. An auto regressive moving average exogenous (ARMAX) model is designed for the drill string experimental set up. The method of converging to the selected model using correlation tests and analyzing the prediction error graphs are discussed in the paper in detail. The least squares method provides unbiased estimates of the process model coefficients. The attraction of the method lies in the fact that the nonlinearities exhibited by the process will also be included in the model, without increasing the complexity or a change in the method used to converge to obtain the model.

Original languageEnglish
Title of host publicationICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings
Pages257-261
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Mechanical and Electrical Technology, ICMET 2010 - Singapore, Singapore
Duration: 10 Sep 201012 Sep 2010

Other

Other2010 International Conference on Mechanical and Electrical Technology, ICMET 2010
CountrySingapore
CitySingapore
Period10/9/1012/9/10

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Keywords

  • ARMAX model
  • Drillstring
  • System identification

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Majeed, F. A., Magid, Y. L. A., Karki, H., & Karkoub, M. (2010). Analysis of the method of black box modeling of drill string dynamics by least squares method. In ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings (pp. 257-261). [5598362] https://doi.org/10.1109/ICMET.2010.5598362