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Abstract
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Article Information:
Optimization of Weight on Bit During Drilling Operation Based on Rate of Penetration Model
Sonny Irawan, Adib Mahfuz Abd Rahman and Saleem Qadir Tunio
Corresponding Author: Sonny Irawan
Submitted: December 02, 2011
Accepted: January 13, 2012
Published: June 15, 2012 |
Abstract:
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Drilling optimization is very important during drilling operation. This is because it could save time
and cost of operation thus increases the profit. Drilling optimization aims to optimize controllable variables
during drilling operation such as weight on bit and bit rotation speed for obtaining maximum drilling rate. In
this project, Bourgoyne and Young ROP model had been selected to study the effects of several parameters
during drilling operation. Important parameters such as depth, pore pressure, equivalent circulating density, bit
weight, rotary speed, bit tooth wear and jet impact force are extracted from a final drilling report. In order to
study their relationship statistical method which is multiple regressions analysis has been used. The penetration
model for the field is constructed using the results from statistical method. In the end, the result from analysis
is used to determine optimum values of weight on bit that give optimum drilling operation. Overall, this project
provides a study of the most complete mathematical model for rate of penetration that was constructed by
Bourgoyne and Young. From the research the constants that represented several drilling variables had been
determined. The rate of penetration for the field had been predicted based on constants for every data vs. Depth.
Finally, optimized weight on bit had been calculated for several data points. In the end, drilling simulator
(Drill-Sim 500) was used to prove the results based on actual field data.
Key words: Drilling operation, optimization, Rate of Penetration (ROP), Weight on Bit (WOB), , ,
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Cite this Reference:
Sonny Irawan, Adib Mahfuz Abd Rahman and Saleem Qadir Tunio, . Optimization of Weight on Bit During Drilling Operation Based on Rate of Penetration Model. Research Journal of Applied Sciences, Engineering and Technology, (12): 1690-1695.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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