Abstract

Nikhil Singh Chauhan, A K Khandelwal, Richa Pahwa

ABSTRACT

Predicting the optimal parameter has become increasingly important given the rise in expenses involved in drilling a well. This has meant that oil companies engage in a perpetual struggle to predict the optimum mechanical property parameters. Predicting optimal mechanical property parameters, specifically speed, feed and lubricating oil with water percentage added, has become increasingly important given the rise in expenses involved in drilling a well. Several models and methods have been published for predicting, and therefore potentially optimizing. The system uses a knowledge base of various drilling parameters, to produce a “correlation” description of the responses. These responses are predicted by ANOVA method.