Back
 ACES  Vol.3 No.1 , January 2013
Numerical Analysis of Heavy Oil-Water Flow and Leak Detection in Vertical Pipeline
Abstract: Pipeline is a conventional, efficient and economic way for oil transportations. The use of a good system for detecting and locating leaks in pipeline contribute significantly to operational safety and cost saving in petroleum industry. This paper aims to study the heavy oil-water flow in vertical ducts including leakage. A transient numerical analysis, using the ANSYS-CFX? 11.0 commercial software is performed. The mathematical modeling considers the effect of drag and gravitational forces between the phases and turbulent flow. Mass flow rate of the phases in the leaking orifice, the pressure drop as a function of the time and the velocity distributions are presented and discussed. We can conclude that volumetric fraction of phases and fluid mixture velocity affect pressure drop and mass flow rate at the leak hole.
Cite this paper: J. Sousa, C. Sodré, A. Lima and S. Neto, "Numerical Analysis of Heavy Oil-Water Flow and Leak Detection in Vertical Pipeline," Advances in Chemical Engineering and Science, Vol. 3 No. 1, 2013, pp. 9-15. doi: 10.4236/aces.2013.31002.
References

[1]   J. Y. Xu, D. H. Li, J. Guo and Y. X. Wu, “Investigations of Phase Inversion and Frictional Pressure Gradients in Upward and Downward Oil—Water Flow in Vertical Pipes,” International Journal of Multiphase Flow, Vol. 36, No. 11-12, 2010, pp. 930-939. doi:j.ijmultiphaseflow.2010.08.007

[2]   S. I. Kam, “Mechanistic Modeling of Pipeline Leak Detection at Fixed Inlet Rate,” Journal of Petroleum Science and Engineering, Vol. 70, No. 3-4, 2010, pp. 145-156. doi:j.petrol.2009.09.008

[3]   L. Xiuhe, S. Yingjun, Z. Jinzhu and F. Yuanyuan, “A Pipeline Leakage Detection Technology Based on Wavelet Transform Theory,” Proceedings of IEEE Annual International Conference on Information Acquisition, Shandong, 20-23 August 2006, pp. 1432-1437. doi:10.1109/ICIA.2006.305966

[4]   R. Hu, H. Ye, G. Wang and C. Lu, “Leak Detection in Pipelines Based on PCA,” Proceedings of 8th International Conference on Control, Automation, Robotics and Vision, Kunming, 6-8 December 2004, pp. 1985-1989. doi:10.1109/ICARCV.2004.1469466

[5]   H. V. Silva, C. K. Morooka, I. R. Guilherme, T. C. Fonseca and J. R. P. Mendes, “Leak Detection in Petroleum Pipelines Using a Fuzzy System,” Journal of Petroleum Science and Engineering, Vol. 49, No. 3-4, 2005, pp. 223-238. doi:j.petrol.2005.05.004

[6]   L. Dong, S. Chai, and B. Zhang, “Leak Detection and Localization of Gas Pipeline System Based on Wavelet Analysis,” Proceedings of 2nd IEEE International Conference on Intelligent, Control and Information Processing, Harbin, 25-28 July 2011, pp. 478-483. doi:10.1109/ICICIP.2011.6008290

[7]   C. Verde, “Multi-Leak Detection and Isolation in Fluid Pipelines,” Control Engineering Practice, Vol. 9, No. 6, 2001, pp. 673-682. doi:10.1016/S0967-0661(01)00026-0

[8]   C. G. Mothé and C. Silva, “Heavy-oil—Reserves and World Production,” TN Petróleo, Vol. 57, 2007, pp. 76-81. http://www.tnpetroleo.com.br/download.php/revista/download/i/33/nome/TN57_ Artigos. pdf

[9]   ANSYS, “CFX-Solver Theory Guide (Release 11.0),” ANSYS, Inc., Canonsburg, 2006.

 
 
Top