Leak Detection Modeling and Simulation for Oil Pipeline with Artificial Intelligence Method

Journal of Engineering and Technological Sciences

Pudjo Sukarno¹  Amoranto Trisnobudi²  Kuntjoro Adji Sidarto³  Nancy Rohani³  Delint Ira Setyoadi³  Darmadi Darmadi⁴ 

[1]Faculty of Earth Sciences and Mineral Technology

[2]Faculty of Industrial Technology

[3]Faculty of Mathematics and Natural Sciences

[4]Research Consortium OPPINET - ITB

DOI  :  10.5614/itbj.eng.sci.2007.39.1.1

学科分类：工程和技术（综合）

来源: Institute for Research and Community Services ITB

【 摘 要 】

Leak detection is always interesting research topic, where leak location and leak rate are two pipeline leaking parameters that should be determined accurately to overcome pipe leaking problems. In this research those two parameters are investigated by developing transmission pipeline model and the leak detection model which is developed using Artificial Neural Network. The mathematical approach needs actual leak data to train the leak detection model, however such data could not be obtained from oil fields. Therefore, for training purposes hypothetical data are developed using the transmission pipeline model, by applying various physical configuration of pipeline and applying oil properties correlations to estimate the value of oil density and viscosity. The various leak locations and leak rates are also represented in this model. The prediction of those two leak parameters will be completed until the total error is less than certain value of tolerance, or until iterations level is reached. To recognize the pattern, forward procedure is conducted. The application of this approach produces conclusion that for certain pipeline network configuration, the higher number of iterations will produce accurate result. The number of iterations depend on the leakage rate, the smaller leakage rate, the higher number of iterations are required. The accuracy of this approach is clearly determined by the quality of training data. Therefore, in the preparation of training data the results of pressure drop calculations should be validated by the real measurement of pressure drop along the pipeline. For the accuracy purposes, there are possibility to change the pressure drop and fluid properties correlations, to get the better results. The results of this research are expected to give real contribution for giving an early detection of oil-spill in oil fields.

【 授权许可】

CC BY