A data mining and analysis system which analyzes a database of wellbore-related data in order to determine those predictor variables which influence or predict well performance.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method to analyze wellbore data, the method comprising: extracting a dataset from a database, the dataset comprising wellbore data; detecting an output variable; removing corrupted data from the dataset; calculating a normal distribution for the dataset, thus creating a normalized dataset; performing a classification and regression tree (“CART”) analysis on the normalized dataset based upon the output variable; and based upon the CART analysis, determining one or more predictor variables that correlate to the output variable. 2. A computer-implemented method as defined in claim 1, further comprising: determining a contribution of the one or more predictor variables on the output variable; and ranking the one or more predictor variables based on their influence on the output variable. 3. A computer-implemented method as defined in claim 1, wherein calculating the normal distribution further comprises utilizing a Normal Score Transform to calculate the normal distribution of the dataset. 4. A computer-implemented method as defined in claim 1, wherein calculating the normal distribution further comprises performing a clustering technique on the normalized dataset. 5. A computer-implemented method as defined in claim 1, wherein determining one or more predictor variables further comprises displaying the one or more predictor variables utilizing a multidimensional scaling technique. 6. A computer-implemented method as defined in claim 1, further comprising displaying the one or more predictor variables in the form of a tree or earth model. 7. A computer-implemented method as defined in claim 1, wherein determining the one or more predictor variables further comprises determining an optimal tree size. 8. A computer-implemented method as defined in claim 1, wherein determining the one or more predictor variables further comprises performing an inverse transformation on the normalized dataset. 9. A computer-implemented method as defined in claim 1, wherein a wellbore is drilled, completed or stimulated based on the determined one or more predictor variables. 10. A system comprising processing circuitry to analyze wellbore data, the processing circuitry performing the method comprising: extracting a dataset from a database, the dataset comprising wellbore data; detecting an output variable; removing corrupted data from the dataset; calculating a normal distribution for the dataset, thus creating a normalized dataset; performing a classification and regression tree (“CART”) analysis on the normalized dataset based upon the output variable; and based upon the CART analysis, determining one or more predictor variables that correlate to the output variable. 11. A system as defined in claim 10, further comprising: determining a contribution of the one or more predictor variables on the output variable; and ranking the one or more predictor variables based on their influence on the output variable. 12. A system as defined in claim 10, wherein calculating the normal distribution further comprises utilizing a Normal Score Transform to calculate the normal distribution of the dataset. 13. A system as defined in claim 10, wherein calculating the normal distribution further comprises performing a clustering technique on the normalized dataset. 14. A system as defined in claim 10, wherein determining one or more predictor variables further comprises displaying the one or more predictor variables utilizing a multidimensional scaling technique. 15. A system as defined in claim 10, further comprising displaying the one or more predictor variables in the form of a tree or earth model. 16. A system as defined in claim 10, wherein determining the one or more predictor variables further comprises determining an optimal tree size. 17. A system as defined in claim 10, wherein determining the one or more predictor variables further comprises performing an inverse transformation on the normalized dataset. 18. A system as defined in claim 10, wherein a wellbore is drilled, completed or stimulated based on the determined one or more predictor variables. 19. A computer program product comprising instructions to analyze wellbore data, the instructions which, when executed by at least one processor, causes the processor to perform a method comprising: extracting a dataset from a database, the dataset comprising wellbore data; detecting an output variable; removing corrupted data from the dataset; calculating a normal distribution for the dataset, thus creating a normalized dataset; performing a classification and regression tree (“CART”) analysis on the normalized dataset based upon the output variable; and based upon the CART analysis, determining one or more predictor variables that correlate to the output variable. 20. A computer program product as defined in claim 19, further comprising: determining a contribution of the one or more predictor variables on the output variable; and ranking the one or more predictor variables based on their influence on the output variable. 21. A computer program product as defined in claim 19, wherein calculating the normal distribution further comprises utilizing a Normal Score Transform to calculate the normal distribution of the dataset. 22. A computer program product as defined in claim 19, wherein calculating the normal distribution further comprises performing a clustering technique on the normalized dataset. 23. A computer program product as defined in claim 19, wherein determining one or more predictor variables further comprises displaying the one or more predictor variables utilizing a multidimensional scaling technique. 24. A computer program product as defined in claim 19, further comprising displaying the one or more predictor variables in the form of a tree or earth model. 25. A computer program product as defined in claim 19, wherein determining the one or more predictor variables further comprises determining an optimal tree size. 26. A computer program product as defined in claim 19, wherein determining the one or more predictor variables further comprises performing an inverse transformation on the normalized dataset. 27. A computer program produce as defined in claim 19, wherein a wellbore is drilled, completed or stimulated based on the determined one or more predictor variables. 28. A computer-implemented method to analyze wellbore data, the method comprising: extracting a dataset from a database, the dataset comprising wellbore data; detecting an output variable; removing corrupted data from the dataset; performing a clustering technique on the dataset; performing a classification and regression tree (“CART”) analysis on the clustered dataset based upon the output variable; and based upon the CART analysis, determining one or more predictor variables that correlate to the output variable. 29. A computer-implemented method as defined in claim 28, wherein performing the clustering technique further comprises normalizing the dataset. 30. A computer-implemented method as defined in claim 28, wherein a wellbore is drilled, completed or stimulated based on the determined one or more predictor variables.