Drill bits optimization using offset wells analysis and ROP modelling
Yasin, A., Shalaby, S., Farahat, M., Salem, A. (2021). Drill bits optimization using offset wells analysis and ROP modelling. EKB Journal Management System, 23(1), 1-5. doi: 10.21608/jpme.2021.49153.1056
Ahmed Yasin; Shouhdi Shalaby; Mohamed Farahat; Adel Salem. "Drill bits optimization using offset wells analysis and ROP modelling". EKB Journal Management System, 23, 1, 2021, 1-5. doi: 10.21608/jpme.2021.49153.1056
Yasin, A., Shalaby, S., Farahat, M., Salem, A. (2021). 'Drill bits optimization using offset wells analysis and ROP modelling', EKB Journal Management System, 23(1), pp. 1-5. doi: 10.21608/jpme.2021.49153.1056
Yasin, A., Shalaby, S., Farahat, M., Salem, A. Drill bits optimization using offset wells analysis and ROP modelling. EKB Journal Management System, 2021; 23(1): 1-5. doi: 10.21608/jpme.2021.49153.1056

Drill bits optimization using offset wells analysis and ROP modelling

Journal of Petroleum and Mining Engineering
Article 1, Volume 23, Issue 1, June 2021, Page 1-5  XML PDF (636.75 K)
Document Type: Full-length article
DOI: 10.21608/jpme.2021.49153.1056
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Authors
Ahmed Yasin email 1; Shouhdi Shalaby2; Mohamed Farahat2; Adel Salem2
1Belayim Petroleum Company
2Petroleum Engineering Department, Faculty of Petroleum and Mining Engineering
Abstract
Drill Bits optimization is the key factor to improve the overall drilling efficiency and therefore, reduce the cost and the non-productive time. For this, analysis of the offset field data, modelling before drilling and optimization the drilling parameters are highly required to enhance the drilling efficiency. In this paper, 8 ½” hole of three drilled wells is analysed for the rate of penetration (ROP), drilling cost per meter and the drilling duration of each drill bit. The analysis has shown that the variation in drilling efficiency was due to some factor such as, the type and features of the used drill bit, the bottom hole assembly type and the drilling parameters. ROP model (multiple regression equation) is developed by using a reference well’s drilling parameters. The drilling parameters that have been used to develop the ROP model are weight on bit (WOB), revolution per minute (RPM) of the drill string, the drilling torque (TRQ), jet impact force (JIF) of the drill bit and the unconfined compressive strength (UCS) of the formation. Parametric sensitivity study has been carried out using this model to interpret the drilling parameters that have the greatest impact on ROP. Finally, drill bits’ with the highest performance are recommended to be used based on analysis of the offset wells and ROP model “multiple regression equation” has been approached to predict the ROP values before drilling to be used in optimization of drill bits’ performance in the forthcoming drilled wells.
Keywords
ROP model; multiple regression; analysis; Drill bit optimization
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