Factor Analysis-Based Optimal Selection of Rock-Breaking Bit Applied in Deep Layer of Songliao Basin


  •  Zuguang Li    
  •  Yinghu Zhai    
  •  Xu Zhang    

Abstract

Correctly choosing rock-breaking bit is critical in oil drilling. The optimal model of selecting a bit has been established
based on the Factor Analysis Theory. Through selecting primitive variables, and using SPSS (Statistical Package for the
Social Sciences) to get factor loading matrix, factor rotation and factor score, we have reasonably evaluated and
optimized the selection of rock-breaking bits applied in deep layer drilling of Songliao Basin. The calculated results are
consistent with the observation from actual applications. It indicates that the method studied here is reasonably reliable
and valuable for broader applications.


This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1916-9779
  • ISSN(Online): 1916-9787
  • Started: 2009
  • Frequency: semiannual

Journal Metrics

(The data was calculated based on Google Scholar Citations)

Google-based Impact Factor (2018): 11.90

h-index (January 2018): 17

i10-index (January 2018): 36

h5-index (January 2018): 13

h5-median(January 2018): 15

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