Paper Titles
Research on the Connectivity of Network
p.1412
Analysis of Security of SCADA System
p.1417
On Energy Consumption of Network Coding Based Reliability Transmission Mechanism
p.1422
Design and Implementation of Network Events Monitoring System
p.1430
A New Method for Wax Precipitation Prediction of Waxy Oil Wells and Software Designing
p.1437
Are Big Classes in Java Bad? the Effect of Classes Size on Software Quality in Java
p.1443
Design of Simulation and Deduction Software for MC Equipment Tracking Ability Based on MapX and OSG
p.1447
Formal Approach to Enhance the Reliability of Embedded Software System
p.1451
Implementation of a Customiazble GUI Software Platform for IC Equipment
p.1455

A New Method for Wax Precipitation Prediction of Waxy Oil Wells and Software Designing

Article Preview

Abstract:

Wax precipitation of oil production wells seriously influence the oil production. In order to improve the level of wax removal, it is necessary to predict the depth, thickness and period of wax precipitation in the wellbore with oil production. On the basis of the mechanism analysis for wax precipitation in the wellbore, the theoretical model and empirical model were built up and programmed wax precipitation of oil production wells software and the results by the two models were compared. The sensitive factors which influence wax precipitation in the wellbore were analyzed. The results show that the two models can be used to predict the wax thickness, depth and precipitation cycle. The empirical model for wax precipitation profile prediction is more accurate than the theoretical model. The wax precipitation varies with the productive time and water cut.

You might also be interested in these eBooks
Measurement Technology and its Application III View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

1437-1442

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.1437

Citation:

Cite this paper

Online since:

June 2014

Authors:

Ren Yuan Sun*, Cheng Xiang Wang, Ying Long Xuan, Qi Yong Xiong, Ai Xian Huang, Zhao Hui Xia, Wei Ding

Keywords:

Depth of Wax Precipitation, Prediction Model, Wax Precipitation, Wax Removal Cycle

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] Hongxun Wang, Qi Zhang. Edited by Petroleum Industry Press(1989), Beijing. (In Chinese).

Google Scholar

[2] J S Weingarten and J A. Euchner. SPE Production Engineering, edited by Society of Petroleum Engineers(1986).

Google Scholar

[3] Dechun Chen, Junrong Liu, Xiaodong Wu, et al. Journal of Petroleum University, Vol. 23 (1999), No. 4, p.36 (In Chinese).

Google Scholar

[4] Baichao Sun, Yue Wang, Guowu You. Journal of Petrochemical College, Vol. 16 (2003), No. 4, p.48 (In Chinese).

Google Scholar

[5] Zhengyuan Dong. Journal of Southwest Petroleum University, Vol. 20 (2005), No. 6, p.37 (In Chinese).

Google Scholar

[6] Lizhong Wang. West China Exploration Engineering, Vol. 14 (2003), No. 11, p.54 (In Chinese).

Google Scholar

[7] J F Keating and R A Wattenbarger. SPE Western Regional Meeting, 23-25 March, Long Beach, California, edited by Society of Petroleum Engineers(1994).

Google Scholar

[8] R. Venkatesan and J.L. Creek. Offshore Technology Conference, edited by Offshore Technology Conference (2007).

Google Scholar

[9] A R Hasan and C S Kabir. SPE Production &Facilities, edited by Society of Petroleum Engineers(1994).

Google Scholar

[10] Ning Pu. Gas Surface Engineering, Vol. 14 (1995), No. 1, p.19. (In Chinese).

Google Scholar

[11] Mustafa Versan Kok and Onder Saracoglu. SPE Asia Pacific Oil and Gas Conference, edited by Society of Petroleum Engineers(2000).

Google Scholar

[12] Zhiguo Han, Yuren Li. Oil drilling and Production Technology, Vol. 15 (1993), No. 2, p.82. (In Chinese).

Google Scholar