العوامل المؤثرة في حفر الابار النفطية باسلوب انحدار المركبات الرئيسة : العراق أنموذجا

الملخص EN

When constructing a multipl-linear regression model, estimations of the method of the least squares are often inefficient, with low predictive capacity therefore that is one of the alternatives is the main components regression method.

In order to get the a method that has accurate estimation values, we draw a simple random sample of 396 places to drill the wells and study the independent variables (Depth of rock depth, Rpm number of cycles per minute, WOB weight on the shaft, DT measurement of rock density, HSI equation of hydraulic) And the dependent variable (bit rate of penetration of the shaft) and theresults show significan effect of RPm the number of cycles of the incentive and DT rock intensity on the rate of penetration of the bit.

Using the NCSS program, the principal component method was applied to bea successful method for the study of the influencing factors with accurate results and to show the superiority of the regression method of the principal component.

The parameters and standard errors were compared with the least squares moothed and the lack of standard errors due to the regression of principal component was the best in appreciation.