Abstract
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Article Information:
Optimization and Application of Bit Selection Technology for Improving the Penetration Rate
Bing Hou, Mian Chen and Jianbo Yuan
Corresponding Author: Mian Chen
Submitted: March 08, 2014
Accepted: April 15, 2014
Published: July 10, 2014 |
Abstract:
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Scientific selection of drill bits during drilling is a key technology to achieve high-speed drilling and reduce drilling costs. Based on the analysis of bit’s working principles and its applicable conditions and in accordance with the well conditions of ultra-deep wells in Y area of Tarim Oilfield, this study has conducted mathematical statistics on a large number of actual drilling practices and detailed information of the drilling bits. As well, we studied the distribution of three-dimensional drillability in this area and optimized drilling parameters under neural network ROP model. Finally we put forth a set of comprehensive optimal selection techniques of bits that is applicable to Y Area. Field results show that the application of these comprehensive optimal selection techniques will enable a single well’s penetration rate to increase by 30%, thus making a useful attempt to solve the deep well speed problems in Y Area.
Key words: Comprehensive optimal selection, drillability, drilling bits, drilling parameters, neural network, ROP,
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Cite this Reference:
Bing Hou, Mian Chen and Jianbo Yuan, . Optimization and Application of Bit Selection Technology for Improving the Penetration Rate. Research Journal of Applied Sciences, Engineering and Technology, (2): 179-187.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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