Estimation of rate of penetration considering mechanical, hydraulic, and formation characteristics for mishref formation
Joint Authors
Abd al-Hadi, Hasan
Mnati, Kazim Hammud
Source
Journal of Petroleum Research and Studies
Issue
Vol. 2017, Issue 17 (31 Dec. 2017), pp.20-38, 19 p.
Publisher
Ministry of Oil Petroleum Research and Development Center
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
19
Main Subjects
Topics
Abstract EN
This paper presents a detailed formulation of a rate of penetration (ROP) model, considering many drilling parameters and conditions for obtaining maximum drilling rate as well as minimizing the drilling cost.
A regression analysis technique has been usedfor ROP modeling in Mishref formation.
The data were extracted from routinely available mud and wirelinelogs.
These data includes weight on bit, rotary speed, horse per square inch, and transit time.
For ROP modeling, data of five wells inHalfaya oil field in south Iraq were extracted.
Statistical software called SPSS was used for improving the modeling data and to perform linear and nonlinear multiple regression analysis.
This improving approach included detection the outliers of modeling parameters, grouping the modeling data, moving average and finally applying the regression analysis.
Results of modeling showed that the grouping of modeling data exhibited good convergence with actual data and the overall model of oil field could producegood fitness with the actual data in both cases of linear and nonlinear models.
Also, a good estimation of drilling cost could be obtained when using this This paper presents a detailed formulation of a rate of penetration (ROP) model, considering many drilling parameters and conditions for obtaining maximum drilling rate as well as minimizing the drilling cost.
A regression analysis technique has been usedfor ROP modeling in Mishref formation.
The data were extracted from routinely available mud and wirelinelogs.
These data includes weight on bit, rotary speed, horse per square inch, and transit time.
For ROP modeling, data of five wells inHalfaya oil field in south Iraq were extracted.
Statistical software called SPSS was used for improving the modeling data and to perform linear and nonlinear multiple regression analysis.
This improving approach included detection the outliers of modeling parameters, grouping the modeling data, moving average and finally applying the regression analysis.
Results of modeling showed that the grouping of modeling data exhibited good convergence with actual data and the overall model of oil field could producegood fitness with the actual data in both cases of linear and nonlinear models.
Also, a good estimation of drilling cost could be obtained when using this model.
American Psychological Association (APA)
Mnati, Kazim Hammud& Abd al-Hadi, Hasan. 2017. Estimation of rate of penetration considering mechanical, hydraulic, and formation characteristics for mishref formation. Journal of Petroleum Research and Studies،Vol. 2017, no. 17, pp.20-38.
https://search.emarefa.net/detail/BIM-1201272
Modern Language Association (MLA)
Mnati, Kazim Hammud& Abd al-Hadi, Hasan. Estimation of rate of penetration considering mechanical, hydraulic, and formation characteristics for mishref formation. Journal of Petroleum Research and Studies No. 17 (2017), pp.20-38.
https://search.emarefa.net/detail/BIM-1201272
American Medical Association (AMA)
Mnati, Kazim Hammud& Abd al-Hadi, Hasan. Estimation of rate of penetration considering mechanical, hydraulic, and formation characteristics for mishref formation. Journal of Petroleum Research and Studies. 2017. Vol. 2017, no. 17, pp.20-38.
https://search.emarefa.net/detail/BIM-1201272
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1201272