Drill-Bit selection based on principal component analysis

To increase penetration rate and reduce the occurrence of bottom hole accidents during oil well drilling,drill-bit selection methods were studied. the principal component analysis is an effective tool for dimensionality reduction,it can transform one given set of variables into a new set of variables by linear transformations,and take many using indexes of drill-bit into consideration,achieve comprehensive evaluation of drill-bit. a comprehensive indicator of drill-bit using effect based on principal component analysis was established,and calculation model was built. the result of analytical computation shows that the accumulation contribution rate of the first principle component and the second principle component is 79.7%,and the evaluation results of comprehensive indicator are much the same as the first principal component,so that it is enough to use the first principal component to evaluate the using effect of drill-bit. finally,the principal component analysis is one of the most effective methods for drillbit selection. © 2014 pakistan journal of statistics.