Qr code
DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Yongchen Song

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:能源与动力学院
Discipline:Energy and Environmental Engineering
Business Address:能动大楼810
Contact Information:songyc@dlut.edu.cn
E-Mail:songyc@dlut.edu.cn
Click: times

Open time:..

The Last Update Time:..

Current position: Home >> Scientific Research >> Paper Publications

Pressure pulse wave attenuation model coupling waveform distortion and viscous dissipation for blockage detection in pipeline

Hits : Praise

Indexed by:Journal Papers

Date of Publication:2020-01-01

Journal:ENERGY SCIENCE & ENGINEERING

Included Journals:SCIE

Volume:8

Issue:1

Page Number:260-265

ISSN No.:2050-0505

Key Words:blockage percentage detection; nonlinear effect; oil and gas transportation; pressure pulse wave attenuation model; waveform distortion

Abstract:Safety issues are always a major concern in the oil and gas transportation facilities. Equipment damages are frequently encountered due to solid deposition such as gas hydrate deposition. A fast and efficient detection of the location, length, and rate of the accumulating blockage will significantly help relieve the potential risk. Most existing pressure wave-based models suffer the difficulty to properly predict the blockage percentage arising from the ignorance of the wave attenuation. In the present work, an attenuation model to describe the transportation of the pressure pulse wave in gas is developed; the effects of waveform distortion and absorption as a result of the nonlinear effect and viscous dissipation are collectively considered for the first time. A simplified procedure to couple the wave attenuation in the model is proposed. The results show that the model can remarkably improve the prediction accuracy of blockage percentage by reducing the errors from -9.0% to -4.2%. Moreover, the attenuation process of the pressure pulse wave is determined to consist of three stages. The effect of waveform distortion on amplitude mainly occurs in the second stage, when our proposed model shows an improved prediction. The performance of the proposed model will help the early warning of the blockage in the pipelines and effectively avoid the potential injury and financial loss.