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Information Journal Paper

Title

Calibration curves for on-line leakage detection using radiotracer injection method

Pages

  109-117

Keywords

NaI(Tl)Q1

Abstract

 One of the most important requirements for gas and fluid industrial pipelines is the on-line leakage detection and investigation. In this paper, detection of leak and determination of its amount using radioactive tracer injection method has been simulated by Monte Carlo MCNP code. The detector array included two NaI (Tl) detectors which were located before and after the considered position, measures emitted gamma from radioactive tracer. After calibration of radiation detectors, the amount of leakage can be calculated based on the count difference of areas under the radiation detectors. Also, the factors affecting the detectable amount of leakage such as the material, thickness, diameter of pipe, types of fluid, radiation detector crystal dimension, the activity of tracer and its type (24Na, 82Br, 131I, 99mTc, 113mIn) have been investigated. According to the results, for example, leakage more than 0. 007% in volume of the inlet fluid for iron pipe with outer diameter 4 inch and thickness of 0. 5 cm, petrol as fluid inside pipe, 3 3 inch detector and 24Na with activity of 100 mCi as detector can be detected by the presented method.

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    APA: Copy

    KHATOONI, A., RAHMANI, F., & ABBASI DAVANI, F.. (2017). Calibration curves for on-line leakage detection using radiotracer injection method. IRANIAN JOURNAL OF PHYSICS RESEARCH, 17(4 ), 109-117. SID. https://sid.ir/paper/2046/en

    Vancouver: Copy

    KHATOONI A., RAHMANI F., ABBASI DAVANI F.. Calibration curves for on-line leakage detection using radiotracer injection method. IRANIAN JOURNAL OF PHYSICS RESEARCH[Internet]. 2017;17(4 ):109-117. Available from: https://sid.ir/paper/2046/en

    IEEE: Copy

    A. KHATOONI, F. RAHMANI, and F. ABBASI DAVANI, “Calibration curves for on-line leakage detection using radiotracer injection method,” IRANIAN JOURNAL OF PHYSICS RESEARCH, vol. 17, no. 4 , pp. 109–117, 2017, [Online]. Available: https://sid.ir/paper/2046/en

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