Optimization of Weight On Bit During Drilling Operation Based on Rate of Penetration Model
Drilling optimization is very important during drilling operation. Optimization of drilling 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 obt...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Universiti Teknologi PETRONAS
2011
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| Online Access: | http://utpedia.utp.edu.my/10564/1/2011%20-%20Optimization%20of%20weight%20on%20bit%20during%20drilling%20operation%20based%20on%20rate%20of%20penetration%20model.pdf http://utpedia.utp.edu.my/10564/ |
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| Summary: | Drilling optimization is very important during drilling operation. Optimization of
drilling 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 optimum drilling rate. In this
project, Bourgoyne and Young ROP model has 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 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 of statistical
method. In the end, the result from analysis is used to determine optimum values of
weight on bit that give optimize drilling operation.
Overall, this project provides a study to 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 the constants for every
data depth. Finally, the optimized weight on bit had been calculated for the several
data points and the results had been simulated using drilling simulator. |
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