alexa Application of SVM Algorithm for Frictional Pressure Loss Calculation of Three Phase Flow in Inclined Annuli
ISSN:2157-7463

Journal of Petroleum & Environmental Biotechnology
Open Access

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Research Article

Application of SVM Algorithm for Frictional Pressure Loss Calculation of Three Phase Flow in Inclined Annuli

Arya Shahdi1 and Milad Arabloo2*
1Department of Petroleum Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
2Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Iran
Corresponding Author : Milad Arabloo
Department of Petroleum Engineering
Petroleum University of Technology, Ahwaz, Iran
Tel: 982147911
E-mail: [email protected]
Received May 26, 2014; Accepted July 16, 2014; Published July 23, 2014
Citation: Shahdi A, Arabloo M (2014) Application of SVM Algorithm for Frictional Pressure Loss Calculation of Three Phase Flow in Inclined Annuli. J Pet Environ Biotechnol 5:179. doi:10.4172/2157-7463.1000179
Copyright: © 2014 Shahdi A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In Underbalanced Drilling (UBD) operation, the presence of three phases including, drilling fluid, air and cuttings, makes the estimation of equivalent circulation density more difficult. This study presents a novel computer-based model namely Lease Square Support Vector Machine (LS-SVM), for frictional loss calculation of two-phase gas based drilling fluids with the presence of cuttings as the third phase in inclined section of wellbore. This model is based on extensive experimental data collected from published literature. This model is account for in situ flow rate of each phase, Rate of Penetration (ROP), pipe rotation, and hole inclination. The results show that the proposed model is predicting frictional pressure losses in acceptable agreement with experimental data with very high correlation coefficient (>0.99) and small average relative error. Moreover, a trend analysis was carried out to check the validity of the developed model. Results of the present study show that implementation of this developed model can be incorporated in drilling simulators for accurate estimation of frictional pressure loss of three phase flow.

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