چکیده مقاله
Leak detection and localization in oil pipelines are essential for maintaining operational safety and preventing environmental and economic losses in the oil and gas industry In this study, a hybrid deep learning model based on convolutional neural networks CNN and long short term memory LSTM networks is proposed for accurate leak detection and localization The Khisht to Nargesi oil pipeline, located in southern Iran, with a length of 12 8 km and a diameter of 12 inches, is simulated using OLGA software to generate realistic operational data Pressure and flow rate signals are collected from pipeline sensors under both leak and no leak conditions and used directly as time series inputs to the model Using a CNN eliminates manual feature extraction, as the network automatically learns relevant features from raw time series data, while the LSTM component captures temporal dependencies The proposed model performs binary classification of leak and no leak conditions and localizes the leak position along the pipeline with a spatial resolution of 1 km Simulation results show that the CNN–LSTM model achieves over 99% accuracy for both leak detection and leak localization, demonstrating its effectiveness for practical pipeline monitoring applications
کلیدواژهها
نویسندگان
Hossein Rabiyan Pour
Department of Instrumentation and Automation Petroleum University of Technology PUT Ahvaz, Iran
Mehdi Shahbazian
Department of Instrumentation and Automation Petroleum University of Technology PUT Ahvaz, Iran
Alireza Salehi
Department of Basic Science Petroleum University of Technology PUT Ahvaz, Iran
شیوه ارجاع
Rabiyan Pour, Hossein and Shahbazian, Mehdi and Salehi, Alireza,1404,Leak Detection and Localization in Oil Pipelines Using a Hybrid CNN–LSTM Deep Learning Model,The 4th International Conference and the 9th National Conference on Computers, Information Technology and Artificial Intelligence Applications,Ahvaz
ارائهشده در
مجموعه مقالات پنجمین همایش ملی و نخستین همایش بین المللی محاسبات نرم علوم مهندسی در صنعت و جامعه26 بهمن 1404 · ایرانشهر