This paper presents a statistical method to detect leaks in subsea liquid flowlines when the inlet flow rate measurements are unavailable and conventional mass balance techniques cannot be used. Presently, the only method used in these situations is to 'predict' the inlet rate from a steady-state reservoir/wellbore model for use in a transient pipeline simulator. The purpose of this work was to examine the utility of a pressure loss model which requires only routine production data. This technique is derived from the statistical theory of estimation and testing, and treats fluctuations due to turbulence, transients and measurement errors as statistical noise. This method compares two mean values of the pipeline resistance coefficient, R; the new updated value representing the potential leak and the old value being R without leak. Precision of the new method was demonstrated using the 9,460-foot long, (3.64 in. ID) flowloop at LSU, with flowrates up to 10,000 bbl/day of water, and pressures up to 2,400 psi. The leak was simulated by an orifice which discharged the water from the flowline into a shut-in well. An environmental (wellhead) pressure up to 2,200 psi was applied to simulate hydrostatic pressure in the deep-sea environment. The results presented in this paper show how detection of small leaks relates to the number of R measurements, leak position, and statistical noise resulting from flowrate-pressure fluctuations, transients, and measurement uncertainties.


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    Title :

    Leak detection in liquid subsea flowlines with no recorded feed rate


    Contributors:


    Publication date :

    1999


    Size :

    Seiten


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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