Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools

MOMENI, MOHMMADSADEGH (2018) Optimum Roller Cone Bit Selection Using Image Processing Techniques and Artificial Intelligence Tools. PhD. thesis, Universiti Teknologi PETRONAS.

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Abstract

Bit selection plays an important role in increasing the rate of penetration (ROP) and decreasing the drilling time for the reduction of drilling cost. Factors such as rotary speed, weight on bit and bit features have a considerable effect on drill bit optimization.

Item Type:	Thesis (PhD.)
Subjects:	Q Science > QE Geology
Departments / MOR / COE:	Geoscience and Petroleum Engineering
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	07 May 2019 09:41
Last Modified:	07 May 2019 09:41
URI:	http://utpedia.utp.edu.my/id/eprint/18961

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