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 language | English |
|---|---|
| Title of host publication | ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings |
| Pages | 257-261 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 International Conference on Mechanical and Electrical Technology, ICMET 2010 - Singapore, Singapore Duration: 10 Sep 2010 → 12 Sep 2010 |
Other
| Other | 2010 International Conference on Mechanical and Electrical Technology, ICMET 2010 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 10/9/10 → 12/9/10 |
Fingerprint
Keywords
- ARMAX model
- Drillstring
- System identification
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
Cite this
Analysis of the method of black box modeling of drill string dynamics by least squares method. / Majeed, Fesmi Abdul; Magid, Youssef Lotfy Abdel; Karki, Hamad; Karkoub, Mansour.
ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings. 2010. p. 257-261 5598362.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Analysis of the method of black box modeling of drill string dynamics by least squares method
AU - Majeed, Fesmi Abdul
AU - Magid, Youssef Lotfy Abdel
AU - Karki, Hamad
AU - Karkoub, Mansour
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - ARMAX model
KW - Drillstring
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=78649282326&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649282326&partnerID=8YFLogxK
U2 - 10.1109/ICMET.2010.5598362
DO - 10.1109/ICMET.2010.5598362
M3 - Conference contribution
AN - SCOPUS:78649282326
SN - 9781424481019
SP - 257
EP - 261
BT - ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings
ER -