Research on Predicting Slack Flow of Oil Pipelines in Undulated Areas with Large Fall
- DOI
- 10.2991/cisia-15.2015.197How to use a DOI?
- Keywords
- large fall; slack flow; oil pipeline; mechanism; characteristic parameter
- Abstract
Pipelines in more undulated areas are likely to have crossing points in pipeline transportation as oil throughput varies. This is to say that the potential energy of oils, from the peak to the terminal, is possibly higher than energy required for overcoming friction factor in oil movement, thus producing slack flow in pipes after the peak and accelerating partial flow velocity to consume remaining energy. Existed slack flow will be problem-prone like increased surge pressure, slow response to post-peak accident and vibration incurred by repeated occurrence and collapse of the steam bubble, when there are separation and crash of the liquid column in sudden change of the liquid flow speed. Therefore, targeted measures are necessary for avoiding slack flow. This text, for the first time, develops a parameter calculation model based on mechanism and characteristics of slack flow, proposes technology of predicting characteristics of the slack flow of pipelines in hilly areas with large fall and correctly predicts the defined parameters for the slack flow, including position, length, steam space volume, air space ratio and oil flow speed.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - J.N Zhang AU - H. Lan AU - J.J Li PY - 2015/06 DA - 2015/06 TI - Research on Predicting Slack Flow of Oil Pipelines in Undulated Areas with Large Fall BT - Proceedings of the International Conference on Computer Information Systems and Industrial Applications PB - Atlantis Press SP - 724 EP - 727 SN - 2352-538X UR - https://doi.org/10.2991/cisia-15.2015.197 DO - 10.2991/cisia-15.2015.197 ID - Zhang2015/06 ER -