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Due to the problems in the automatic process of maintaining the proper lithology and maintaining well conditions parameters for drilling, the drilling industry needs a new method that the workers would observe the desired information at the desired time and control the drilling parameters. Thus, by analyzing field data, using the predictive model, and subsequently evaluating and correcting the useful parameters, a dramatic increase in the efficiency of the drilling operations and, reduction of costs can be achieved [1-7].The higher the penetration rate, the higher the speed of drilling a well, resulting in a time reduction, which ultimately leads to a reduction in the total cost of the operation. Therefore, to become the optimal drilling operation, there should be an assessment and proper prediction of drill penetration rate. Thus, the structural properties and reservoir depth are the most influential factors in the rate of rock penetration; in respect of the way, as the depth increases, the formations become harder and the penetration rate decreases. Moreover, due to the depth of the wells in the oil fields of Iran, the assessment of the penetration rate is of importance [8-15].

A Model to Predict the Performance of Drilling Operation Using SVM Approach in One of the Iranian Oilfields