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Designing a cost-effective and reliable pipeline leak-detection system

J. Zhang

Open publisher page 155 citations

Abstract

ATMOS PIPE is a statistical pipeline leak detection system, incorporating advanced pattern recognition functions. Real time applications and field tests show that it is cost effective and has a very low false alarm rate. Leaks with sizes from 0.5% to 55% were detected on liquid propylene, ethylene gas, natural gas, and natural gas liquid (NGL) pipelines. In this paper, the performance of the system is reported after the comparison of different leak-detection methods.

About this research paper

What this paper is about

ATMOS PIPE is a statistical pipeline leak detection system, incorporating advanced pattern recognition functions. Real time applications and field tests show that it is cost effective and has a very low false alarm rate. Leaks with sizes from 0.5% to 55% were detected on liquid propylene, ethylene gas, natural gas, and natural gas liquid (NGL) pipelines. In this paper, the performance of the system is reported after the comparison of different leak-detection methods.

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OpenAlex reports 155 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Available abstract

ATMOS PIPE is a statistical pipeline leak detection system, incorporating advanced pattern recognition functions. Real time applications and field tests show that it is cost effective and has a very low false alarm rate. Leaks with sizes from 0.5% to 55% were detected on liquid propylene, ethylene gas, natural gas, and natural gas liquid (NGL) pipelines. In this paper, the performance of the system is reported after the comparison of different leak-detection methods.

Key concepts: Leak detection, Pipeline transport, Leak, Pipeline (software), Petroleum engineering, Natural gas, Engineering, ALARM

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