Application of Mass Balance and Transient Flow Modeling for Leak Detection in Liquid Pipelines

2013 ◽  
Author(s):  
Faruk Civan ◽  
Karent Vanessa Balda
Keyword(s):  
Mass Balance ◽  
Transient Flow ◽  
Leak Detection ◽  
Flow Modeling

scholarly journals Mass balance errors when solving the convective form of the transport equation in transient flow problems

2004 ◽  
Vol 40 (5) ◽  
Author(s):  
Maarten W. Saaltink ◽  
Jesús Carrera ◽  
Sebastià Olivella
Keyword(s):  
Transport Equation ◽  
Mass Balance ◽  
Transient Flow ◽  
Flow Problems

Think More about the Instruments Factors for the Mass Balance Type Pipeline Leak Detection Systems

ICPTT 2013 ◽  
2013 ◽  
Author(s):  
Liang Liu ◽  
Yue Yue ◽  
Jing Huang ◽  
Jiayue Guo ◽  
Hao Zhang
Keyword(s):  
Mass Balance ◽  
Leak Detection ◽  
Detection Systems

scholarly journals Manhole Storage Capacity Influence on Transient Flow Modeling during Storm Sewer Flooding Event

2009 ◽  
Author(s):  
Mathurin Daynou ◽  
◽  
Musandji Fuamba ◽  
Tew-Fik Mahdi ◽  
◽  
...  
Keyword(s):  
Storage Capacity ◽  
Transient Flow ◽  
Flow Modeling ◽  
Flooding Event ◽  
Storm Sewer

Improved Leak Detection by Method Diversity

1998 ◽  
Author(s):  
Ruprecht M. J. Pichler
Keyword(s):  
Transient Flow ◽  
Detection System ◽  
Type System ◽  
Leak Detection ◽  
Operating Conditions ◽  
Detection Methods ◽  
Special Focus ◽  
Oil Pipeline ◽  
Knowledge Based ◽  
Noise Factors

Leak detection systems for liquid pipelines are installed to minimize spillage in case of a leak. Therefore reliability, sensitivity and detection time under practical operating conditions are the most important parameters of a leak detection system. Noise factors to be considered among others are unknown fluid property data, friction factor, instrument errors, transient flow, slack-line operation and SCADA update time. The opening characteristics and the size of leaks differ considerably from case to case. Each software-based leak detection method available today has its particular strength. As long as just one or two of these methods are applied to a pipeline a compromise has to be found for the key parameters of the leak detection system. The paper proposed illustrates how a combination of several different software-based leak detection methods together with observer-type system identification and a knowledge-based evaluation can improve leak detection. Special focus is given to leak detection and automated leak locating under transient flow conditions. Practical results are shown for a crude oil pipeline and a product pipeline.

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