Leak Detection

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M K Tiwari - One of the best experts on this subject based on the ideXlab platform.

  • Leak Detection of pipeline
    Expert Systems With Applications, 2012
    Co-Authors: Santosh Kumar Mandal, Felix T S Chan, M K Tiwari
    Abstract:

    The generation of Leak along the pipeline carrying crude oils and liquid fuels results enormous financial loss to the industry and also affects the public health. Hence, the Leak Detection and localization problem has always been a major concern for the companies. In spite of the various techniques developed, accuracy and time involved in the prediction is still a matter of concern. In this paper, a novel Leak Detection scheme based on rough set theory and support vector machine (SVM) is proposed to overcome the problem of false Leak Detection. In this approach, 'rough set theory' is explored to reduce the length of experimental data as well as generate rules. It is embedded to enhance the decision making process. Further, SVM classifier is employed to inspect the cases that could not be detected by applied rules. For the computational training of SVM, this paper uses swarm intelligence technique: artificial bee colony (ABC) algorithm, which imitates intelligent food searching behavior of honey bees. The results of proposed Leak Detection scheme with ABC are compared with those obtained by using particle swarm optimization (PSO) and one of its variants, so-called enhanced particle swarm optimization (EPSO). The experimental results advocate the use of propounded method for detecting Leaks with maximum accuracy.

T S Chanfelix - One of the best experts on this subject based on the ideXlab platform.

Morgan Henrie - One of the best experts on this subject based on the ideXlab platform.

  • pipeline Leak Detection handbook
    2016
    Co-Authors: Edward R Nicholas, Philip Carpenter, Morgan Henrie
    Abstract:

    Pipeline Leak Detection Handbook is a concise, detailed, and inclusive Leak Detection best practices text and reference book. It begins with the basics of Leak Detection technologies that include Leak Detection systems, and information on pipeline Leaks, their causes, and subsequent consequences. The book moves on to further explore system infrastructures, performance, human factors, installation, and integrity management, and is a must-have resource to help oil and gas professionals gain a comprehensive understanding of the identification, selection, design, testing, and implantation of a Leak Detection system.Informs oil and gas pipeline professionals on the basics of Leak Detection technologies, the required field instrumentation, telecommunication infrastructures, human factors, and risk mitigation considerationsLeads the reader through the complex process of understanding the pipeline's unique environment and how to develop a Leak Detection program

  • Mass Balance Leak Detection
    Pipeline Leak Detection Handbook, 2016
    Co-Authors: Morgan Henrie, Philip Carpenter, R. Edward Nicholas
    Abstract:

    This chapter discusses Leak Detection by mass balance. We lay the formal foundation for this Leak Detection approach, discuss the validity of using conservation of standard volume as a proxy for Leak Detection by mass balance, describe the impact of measurement and other uncertainties, and describe various types of mass balance Leak Detection systems that are differentiated by approximations and approaches used to compute the changes in mass of the pipeline system. This chapter also lays the groundwork for the examination of real-time transient model–based systems in Chapter 4, Real-Time Transient Model–Based Leak Detection.

  • Human Factor Considerations in Leak Detection
    Pipeline Leak Detection Handbook, 2016
    Co-Authors: Morgan Henrie, Philip Carpenter, R. Edward Nicholas
    Abstract:

    This chapter addresses human factors as they relate to pipeline Leak Detection. The first part discusses the operation of the human in the context of technology-based Leak Detection systems. This includes design, implementation, and maintenance activities associated with the physical, mental, and work load aspects of how the pipeline controller interacts with Leak Detection technologies in the working environment. In particular, the section focuses on approaches that can be used to ensure that controllers and other personnel connected with the Leak Detection mission interact efficiently with technology-based Leak Detection system components.

  • Pipeline Leak Detection Basics
    Pipeline Leak Detection Handbook, 2016
    Co-Authors: Morgan Henrie, Philip Carpenter, R. Edward Nicholas
    Abstract:

    This chapter discusses the problems of detecting pipeline Leaks, spills, and ruptures at a high level. The problem identifying drivers who are trying to avoid paying fees on a toll road is used as an analogy for pipeline Leak Detection to illustrate many of the concepts and issues that are discussed in more detail later. The concepts explored include approaches that detect losses from outside of the system and other approaches that utilize variables that can be measured from inside the system. Results are summarized in a table listing fundamental principles of Leak Detection. Architectural fundamentals for technology-based Leak Detection systems (LDSs) are explored and the chapter concludes by exploring fundamental taxonomy of LDS approaches, including technology-based systems and direct observation by humans.

  • Leak Detection Performance, Testing, and Tuning
    Pipeline Leak Detection Handbook, 2016
    Co-Authors: Morgan Henrie, Philip Carpenter, R. Edward Nicholas
    Abstract:

    The problems of measuring Leak Detection technology-based system performance and formally testing and tuning them are discussed here. We begin by specifying metrics used to quantify the system performance. These include measurements that define the scope of the system in terms of coverage, sensitivity to Leak size, and the ability to locate the Leak site. Many metrics are not independent of each other, and Leak Detection system performance maps are introduced to illustrate the relationships. Derived metrics that use directly evaluated measurements to evaluate system efficiency are discussed. These include the probability that the system will detect a Leak, the likelihood that any particular Leak Detection system (LDS) alarm actually corresponds to a Leak, and others. Methods used to formally test the performance of Leak Detection technologies are reviewed, and the chapter concludes with a discussion regarding the problems associated with LDS performance-based tuning.

Cristina Verde - One of the best experts on this subject based on the ideXlab platform.

  • Multi-Leak Detection and isolation in fluid pipelines
    Control Engineering Practice, 2001
    Co-Authors: Cristina Verde
    Abstract:

    Abstract A multi-Leak Detection system for pipelines is designed and tested. The multi-Leak Detection problem is solved using only sensors of flow and pressure at the extremes of the duct, and using the analytical redundancy given of these measurements. The Leak Detection design is based on a distributed pipeline model that is discretized in space and assumes a set of Leaks distributed through the duct. Leak location is accomplished by evaluating the residuals of a bank of unknown input observers that are robust against one Leak and sensitive to the rest. Simulation and experimental results are reported to demonstrate the effectiveness of the proposed approach when two Leaks appear simultaneously.

Jun Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Transient Leak Detection in Crude Oil Pipelines
    2004 International Pipeline Conference Volumes 1 2 and 3, 2004
    Co-Authors: Rainer Beushausen, Keefe Murphy, Stefan Tornow, Harald Borchers, Jun Zhang
    Abstract:

    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.Copyright © 2004 by ASME

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