Energy Consumption Analysis and Assessment for Northeastern Crude Oil Pipeline Network in China

ICPTT 2011 ◽  
2011 ◽  
Author(s):  
Jianjun Liu ◽  
Qing Miao ◽  
Sen Hu ◽  
Shujie Zhi ◽  
Baoliang Jiang
2017 ◽  
Author(s):  
David A. Monroy ◽  
Claudia I. Valdez ◽  
Adelfo Torres ◽  
Claudia Collado

Author(s):  
Yang Yu ◽  
Changchun Wu ◽  
Xiaokai Xing ◽  
Lili Zuo

The Dongying-Linyi Crude Oil Pipeline, transporting the crude oil from Shengli Oilfield to the outside, is one of the most important pipelines in East China. It is of great significance for saving energy, reducing emissions and improving the economy by optimizing pipeline operation. By analyzing the daily operation reports and monthly energy consumption reports, the energy consumption situation of the pipeline is revealed. Then the crude oil from Shengli Oilfield is collected, and its physical property is tested and researched. Based on the topological structure, the technological process and the operation philosophy of the pipeline, the mathematical models for the optimal operation and the energy consumption are built and the corresponding algorithm is introduced. With the models and the algorithms mentioned above, a computer software is developed for the operation simulation and optimization of the pipeline. Combining with practice, three energy-saving measures for the pipeline are analyzed, including reduction of oil heating temperature, operation matching with peak-valley electricity price and operation matching with the combination of flow rates in a planned operation period. In addition, these energy-saving measures are evaluated by the software with several examples. It turns out that: the first measure can considerably reduce the energy consumption and the energy consumption cost of the pipeline; the second could reduce the energy consumption cost of the pipeline a lot, while may make the energy consumption go higher a little; the third could slightly lower the equivalent energy consumption and the energy cost at the same time, but the effect of it is not obvious.


Author(s):  
Harry SMITH ◽  
Kirsty MCNEIL ◽  
Tom RECORD ◽  
Dan BUZATU ◽  
Georgian ILIESCU ◽  
...  

Author(s):  
Joep Hoeijmakers ◽  
John Lewis

Prior to the year 2000, the RRP crude oil pipeline network in Holland and Germany was monitored using a dynamic leak detection system based on a dynamic model. The system produced some false alarms during normal operation; prompting RRP to investigate what advances had been made in the leak detection field before committing to upgrade the existing system for Y2K compliance. RRP studied the available leak detection systems and decided to install a statistics-based system. This paper examines the field application of the statistics based leak detection system on the three crude oil pipelines operated by RRP. They are the 177 km Dutch line, the 103 km South line, and the 86 km North line. The results of actual field leak trials are reported. Leak detection systems should maintain high sensitivity with the minimum of false alarms over the long term; thus this paper also outlines the performance of the statistical leak detection system over the last year from the User’s perspective. The leak detection experiences documented on this crude oil pipeline network demonstrate that it is possible to have a reliable real-time leak detection system with minimal maintenance costs and without the costs and inconvenience of false alarms.


2013 ◽  
Vol 648 ◽  
pp. 251-254 ◽  
Author(s):  
Yu Wang ◽  
Yang Liu ◽  
Jian Zhao ◽  
Li Xin Wei

By three-link modal, the energy consumption pattern of oil pipeline system was divided into the energy conversion process, transmission process and technological utilization process. The mathematical model of energy consumption analysis and scheme optimization of pipeline system were established. And on the basis of .Net platform, with the OLE DB database connection technology, The software of energy consumption analysis and comprehensive optimization of oil pipeline system was developed which can be used as a tool to help the pipeline manager to manage the pipeline more effectively.


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