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  DOI Prefix   10.20431


 

International Journal of Petroleum and Petrochemical Engineering
Volume 4, Issue 2, 2018, Page No: 9-16
DOI: http://dx.doi.org/10.20431/2454-7980.042002


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

Masoud Kakoli1,Arash Ebrahimabadi2*,Behnam Mirshekari1,Jamal Sheikhzakariaee1

1.Department of Petroleum Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2.Department of Mining, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran.

Citation : Masoud Kakoli,Arash Ebrahimabadi,Behnam Mirshekari,Jamal Sheikhzakariaee, A Model to Predict the Performance of Drilling Operation Using SVM Approach in One of the Iranian Oilfields International Journal of Petroleum and Petrochemical Engineering 2018, 4(2) : 9-16

Abstract

Drilling operations in the oil and gas industry have a special place,and it is one of the leading and costly parts of this industry. No doubt there are many factors in the performance of drilling operations, including technical and economic factors. In this research, we will try to examine the critical parameters in the operation of drilling mast. The higher the rate of penetration, the faster the drilling speed and thus it reduces the time and will ultimately decrease the cost of the entire operation. Therefore, to gain the optimal drilling performance, there should be an assessment and proper prediction of the rate of drill penetration rate. Since the quality and properties of the formations and the depth of reservoir`s layer are one of the most influential factors in the penetration rate of rock. Based on the results of the model, CSA LSSVM made in this study, the correlation coefficient the of total drill penetration rate recorded in the drilling reports and predicted value was 0.989, and the absolute error of the mean is also as low as 8.39%.


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