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research-article

Numerical simulation of temperature field in indirect thermal washing for wax cleaning

[+] Author and Article Information
Zhang Ligang

Department pf Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China; College of Engineering and Applied Science (CEAS), University of Cincinnati, USA
zhangligang529@163.com

Xiao Fei Fu

Department pf Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China
1592486226@qq.com

Qu Si ning

Department pf Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China
138368468@qq.com

Li Shi bin

Department pf Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China
404088783@qq.com

Guan Bing

Department pf Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China
1159332431@qq.com

1Corresponding author.

ASME doi:10.1115/1.4040279 History: Received August 15, 2017; Revised April 24, 2018

Abstract

Wax deposition in oil pipelines brings a critical operational challenge in the oil development, and the indirect thermal washing is a most common and effective method of wax cleaning. The temperature field in thermal washing is the basis for making a reasonable plan to wash and remove wax well. In this paper, the wells of sucker rod pump in Da Qing oil field is selected as research objects, a new method which is based on heat-fluid coupling method is proposed for predicting temperature field during the thermal washing process. The temperature field of the annulus of tubing and casing, and rod and tubing are simulated with different thermal washing parameters. In the indirect thermal washing, the temperature in annulus of tubing and casing gradually decreases from wellhead to the bottom, while the temperature in the annulus of rod and tubing increases from bottom to the wellhead. With the increase of temperature and flow rate of thermal washing fluid, the temperature in annulus of tubing and casing, and rod and tubing are both increasing, but the rise rate is different at different depths. Compared to the measured results, the coincidences rate is in the range of 93.67%-99.31%. The research results can guide effectively the thermal washing operation.

Copyright (c) 2018 by ASME
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