Abstract

To ensure the safe operation of oil and gas pipeline, designed based on the characteristic curve of pipeline leak monitoring system. Detailed real-time data access methods and processes, described RBF neural network algorithms and theory for identifying conditions signal , discussed the pipeline characteristic and device characteristic curve , described the principle to determine the pipeline leak, while the formula for calculating the relevant instructions to do the expansion, through the digital platform interface to obtain a snapshot data improves the reliability and accuracy of the original data. Field tests proved the system's good performance for other crude oil pipeline leak detection to provide guidance.

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