A Note About the Sensitivity Curve of Compensated Volume Balance Leak Detection Systems

Author(s):  
Felipe Bastos de Freitas Rachid ◽  
Jose´ Henrique Carneiro de Araujo ◽  
Renan Martins Baptista

This work presents a simple theoretical development which aims to derive the sensitivity curve of compensated volume balance leak detection systems. The analysis carried out is not limited to steady state and also automatically provides the bounds with which the sensitivity curve is predicted, as a function of the system uncertainties. It is demonstrated that the performance of leak detection systems of this nature depends upon the operation of the pipeline at the time instants of the leak onset and of leak detection. As a result, it is also shown that there are an upper and a lower bounds of the minimum response time and that the minimum detectable leak is independent of the pipeline operational regime, being equal to the overall flow rate measurement uncertainty.


Author(s):  
Renan Martins Baptista

This paper describes procedures developed by PETROBRAS Research & Development Center to assess a software-based leak detection system (LDS) for short pipelines. These so-called “Low Complexity Pipelines” are short pipeline segments with single-phase liquid flow. Detection solutions offered by service companies are frequently designed for large pipeline networks, with batches and multiple injections and deliveries. Such solutions are sometimes impractical for short pipelines, due to high cost, long tuning procedures, complex instrumentation and substantial computing requirements. The approach outlined here is a corporate approach that optimizes a LDS for shorter lines. The two most popular implemented techniques are the Compensated Volume Balance (CVB), and the Real Time Transient Model (RTTM). The first approach is less accurate, reliable and robust when compared to the second. However, it can be cheaper, simpler, faster to install and very effective, being marginally behind the second one, and very cost-efective. This paper describes a procedure to determine whether one can use a CVB in a short pipeline.



Author(s):  
Jun Zhang ◽  
Adrian Kane

This paper will demonstrate that with limited instruments at the terminals and platforms only, it is feasible to monitor the integrity of offshore pipelines effectively. Some examples of applications will be shown, including both crude oil and natural gas pipelines. The statistical volume balance technology based on flow and pressure measurements at the inlets and outlets only provides the detection and location of leaks. The paper describes the performance of these leak detection systems for incidents ranging from small leaks to pipeline rupture. To help operators run pipelines safely and cost effectively, real-time transient models are used to calculate the flow, pressure, temperature, density and other fluid properties along the pipeline. Instead of using measured flow and pressure, the operators rely on these calculated values to take operational decisions. The combination of hydraulic modelling and statistical leak detection provides the operators with the information and confidence in the integrity of their pipelines. In the event of any incident the operators can take actions quickly and correctly to minimize the consequences.



Author(s):  
Renan Martins Baptista ◽  
Andre´ Luiz Guedes Maricato ◽  
Paulo Anchieta Masiero ◽  
Jose´ Lima da Silva

This paper describes field trials for two different technologies (built in two commercial products) for leak detection, location and quantification systems (LDS). Modified Compensated Volumetric Balance was tested against SPRT Statistical Analysis, and the obtained results were analyzed/commented. The tests were carried out in a 43 km long 20 in. pipeline (PREPSP), carrying different batches of crude oils, located in the state of Bahia, Brazil. Actual leaks under shut in, steady state, pump transient startup and shutdown operational conditions were introduced, and the performance of both technologies analysed. For each of those conditions and technologies, a sensitivity curve was plotted, leak location and its quantification was tabled, compared and commented. Finally, reliability data for both technologies (essentially, number of false alarms and non-expected misbehavior) were gathered for a two weeks testing period.



Author(s):  
Rainer Beushausen ◽  
Stefan Tornow ◽  
Harald Borchers ◽  
Keefe Murphy ◽  
Jun Zhang

This paper addresses the specific issues of transient leak detection in crude oil pipelines. When a leak occurs immediately after pumps are switched on or off, the pressure wave generated by the transients dominates the pressure wave that results from the leak. Traditional methods have failed to detect such leaks. Over the years, NWO has developed and implemented various leak detection systems both in-house and by commercial vendors. These systems work effectively under steady-state conditions but they are not able to detect leaks during transients. As it is likely for a leak to develop during transients, NWO has decided to have the ATMOS Pipe statistical leak detection system installed on their pipelines. This paper describes the application of this statistical system to two crude oil pipeline systems. After addressing the main difficulties of transient leaks, the field results will be presented for both steady-state and transient conditions.



Author(s):  
Gerhard Geiger ◽  
Daniel Vogt

Due to the vast mileage of pipelines throughout the world, it is important that dependable leak detection systems (LDSs) are used to promptly identify when a leak has occurred so that appropriate response actions are initiated quickly. The swiftness of these actions can help reduce the consequences of accidents or incidents to the public, environment, and property. Internal systems [4] such as volume balance, mass balance or real-time transient model (RTTM) based methods are used successfully for that purpose. RTTM based methods offer excellent performance but more field sensors are needed than for simpler methods such as volume balancing, and therefore these methods are less robust because of their greater dependence on sensors which could fail. This paper describes a new leak detection methodology which uses pattern recognition techniques to combine two or more internal methods seamlessly into one scheme hence improving performance, robustness and applicability.



2016 ◽  
Vol 15 (9) ◽  
pp. 2063-2074
Author(s):  
Pedro Rosas Quiterio ◽  
Florencio Sanchez Silva ◽  
Ignacio Carvajal Mariscal ◽  
Jesus Alberto Meda Campana




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