Open AccessSIMULATION OF HYDROCARBON PIPELINE LEAK DETECTION USING THEORETICALLY APPROXIMATED MODEL ON A TRANSIENT-BASED METHOD
Publication year - 2019
Publication title -
umudike journal of engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2545-5257
DOI - 10.33922/j.ujet_v5i1_14
Subject(s) - pipeline transport , leak , pipeline (software) , transient (computer programming) , pigging , brake , leak detection , mechanics , method of characteristics , nonlinear system , petroleum engineering , control theory (sociology) , simulation , computer science , engineering , automotive engineering , mechanical engineering , physics , control (management) , quantum mechanics , artificial intelligence , environmental engineering , operating system
Detection and localization of small leaks in pipelines were early developed using a nonlinear adaptive state observer and a special correlation technique, based on pressure and flow measurements at the pipeline inlet and outlet. Simulations and experiments show the results for a gas and a liquid pipeline. This paper x-ray pipeline leak Identification using a transient-based method on hydraulic transients of a brake system with oil at two different temperatures, Leak effects at different frequency response were Simulated, measured and leak detection experiment with MATLAB code were also highlighted. The result obtained show that in certain circumstances the brake response is slow due to the temperature and suggests an appropriate pipe diameter to overcome this problem of low flow rate, the transfer function obtained using the proposed method were able to measure the presence of a leak on the pipe system. Simulations, measurements and leak experiments have shown that the early detection and localization of small leaks in liquid and gas pipelines can be considerably improved using theoretically approximated model as the required computational effort is relatively small, as compare to microcomputers which can be used for leak detection including monitoring of the inner pipeline state.