SCADA & Automation Early Leak Detection Systems Supply Design

Pipeline Management Solution



LEAK HUNTER is a stationary pipeline management solution specifically tailored for liquid transmission pipelines. Superimposed on an SCADA system, Leak Hunter alIows the engineers and operators at the control center to supervise and control the operation. 

For normal operation, Leak Hunter requires an Intel based personal computer or a server running a version of MS Windows operating system, and a reliable network connection. An existing computing infrastructure can be reused, thus minimizing system installation and maintenance costs. Leak Hunter is also installed and interfaced to the existing systems with none or very minimal disruption to the normal pipeline operations.  

Leak Hunter watches and displays the pipeline status around the clock, detects and inspects incidents to discern if they pertain to a normal operation (valve open/close, pump start/stop,...) or a pipe crack has happened, while all the data are saved for historical disgnosis or regular reports

It comprises three main applications:


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  • Real-time monitoring (Liquid pressure, density, flow, speed, temperature, viscosity, & apparatus status(valve, pump, etc.)) PIPELINE MONITORING
  • Pipeline performance simulation (using a virtual model based on pipe geometry and material properties, ground elevation, rout, pipe cross-section profile)
  • User Friendly HMI
  • Stand alone Operation
  • Easy to integrate into an existing telemetry systems (if required)
  • Real-time & Historical data presentation, e.g. node pressure history, etc.
  • Programmer Interface
  • High resolution data storage buffer for all the pipeline measurements in the immediate past (the data is also used for the real time calculations in the leak detection algorithms).
  • Remote Control
  • User defined measured data inspection enable/ disable 



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Early detection and locating of leakage in liquid pipelines is a serious challenge for the pipeline operators, share holders, and owners of the lost commodity. Official statistics show considerable property (and environmental) losses each year due to pipe leakage, and in all cases, absence of an effective leak detection system is eminent.

Pipeline companies therefore, would rather invest in a reliable leak detection system to reduce their risks. Such a system must be able to generate the quickest possible alarm when a leakage occurs. In addition, it must provide accurate information related to the location of the leakage. And last but not least, it must not generate false alarms.

Leak Hunter Leak Detection Syatem (LDS) can alert, quickly detect, and pin-point the location of a crack (or multiple cracks) in liquid transmission pipelines, enabling companies to avoid huge financial losses and save the environment.  

Thanks to its hybrid structure with multiple parallel algorithms and sub-algorithms and multiple checks, the leak detection application produces reliable high accuracy outputs in an incredibly short time. One or multiple leakages are detected in a few seconds to a few minutes depending on the situation. The time they occured, their location, and the spilled material quantity are given by the application.        


Leak Hunter works based on three main algorithms:




Preasure wave propagation method

A spontaneous leak will cause a negative pressure wave in the pipeline, simply because liquid is leaking out. This pressure wave will travel through the pipeline at the speed of sound in the liquid flowing through the pipeline. Depending on the location of the leak, the pressure wave will arrive at some pressure measurement points before it arrives at the others. The leak positiocan be calculated from the difference in these arrival times. Calculation is adjusted through various measured or simulated parameters that can influence propagation speed and compensate for measurement equipment imprecision. The resuts are secured in many different ways:

  • Two or multiple pressure propagation algorithms work in parallel
  • A number of different sub algorithms types, parameters, alarm triggering limits, etc enables detection of different leak types and allows for different levels of alarm sensitivity and alarm response times
  • pressure propagation algorithm is coupled with it’s own mass balance algorithm which enables better alarm triggering and leakage quantity calculations in cases of the not “packed” pipelines
  • pressure propagation algorithms detect the leak, its precise geographical location, leak start and end times, real time fluid loss, and total loss of fluid when the leak has stopped



  • Mass balance algorithms can detect the leak, leak segment location (in between two flow meters), leak start and end times, and real time fluid loss
  • Leak Hunter runs multiple mass balance algorithms in parallel





Leak Hunter supports a pipeline state machine (stable stationary, transit-transient, stable transport) decision making algorithm. Pipeline state can be also changed / forced by the user at any time. Pipeline state is changed based on the monitoring of valve and pump statuses. Current pipeline state is used for leakage decision making and elimination of false alarms.

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Batch Tracking

BTS is a software application aimed to support liquid products transport management through the pipeline.The Batch Tracking function is specially valuable when batches of liquid are delivered to customers and so the quantities are important.  
Usually, BTS comes with LDS, but it can be a stand-alone application.
Also it can be easily incorporated into the existed SCADA.
Briefly, BTS functions include: 
  • Transport management: BTS is a tools for easy and intuitive management of the fluid transport 
  • Realtime Batch Tracking: It monitors the head and tail position of each product batch as it enters a pipeline, calculates the Estimated Time of Arrival (ETA) of each batch at every delivery point continuously.
  • corrupted batches Identifying : In pair with LDS, it helps to identify which batches is corrupted as well as the scale, time and reasons of the corruption.

To ensure precise realtime batch location estimates, BTS takes account of pipe volume changes under pressure.









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See Example

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