Oil Production Plant In Jingbian White Langcheng-the Research On Pipeline Leak Detection Technology

Pipeline transportation in conveying gas, liquid and slurry etc, it has unique advantages, has become the railway, highway and water transport, shipping after the fifth largest transportation tool. Due to the inevitable aging, corrosion and punch stolen oil, and other factors, the pipeline leakage occurs frequently, and severe dry around the normal production, resulting in huge economic loss and environmental pollution. Therefore, to strengthen the pipeline leakage detection and localization technology research and application, to find pipeline leakage, blow stolen oil behavior, protect the environment, reduce the enterprise economic losses, enhances the enterprise the automation level has very important practical significance.By reading a lot of literature, investigation and research of the domestic foreign minister pipeline leak detection technology, this technology to make a deep theoretical research. In the software and use of the two kinds of signal processing methods, respectively is correlation analysis and wavelet transform to detect and identify leakage creates negative pressure wave, and then leak monitoring and positioning, and at the same time reference professional knowledge judgment condition disturbance, such positioning accuracy and anti-interference ability and greatly raised, misinformation has reduced;Through the signal extraction and treatment of leakage signal the analysis of characteristics of wavelet transform, the proposed filtering de-noising method used in the field of. Leakage monitoring system using the computer automatic acquisition pipeline operation of the related data, and by using local area network (LAN) oil field real-time data transmission, realize the automatic real-time leakage monitoring, alarm, positioning;Development and design of the white Wolf city-stream pipeline leak detection system is one who has a dynamic leakage monitoring ability of the SCADA (Supervisory Control and Data Acquisition) system, in which a computer Data Acquisition and monitoring system, through the real-time Acquisition in the pipeline conveying fluid pressure and flow rate on the signal analysis and processing, the online leak detection and location, the remote terminal unit (RTU) Acquisition of flow, pressure, temperature, etc parameters to the monitoring center, the pipeline the operational status of the real-time monitoring. The field experiment, the system can automatically leak detection, location, alarm and automatic eliminate conditions change in interference, with only two pressure measuring point conditions, assure the high leakage detection sensitivity, positioning accuracy and high reliability.In addition, through the reflection of the pipeline operation condition for the pressure of sonic signal analysis, has been clear about the pipeline leakage signal generation and transmission principle, and in time domain and frequency domain analysis of the crude oil pipeline pressure sonic signal in the pipeline leakage, normal working condition and adjustable pump conditions signal characteristics. Using normalized method for pressure sonic signal preprocessing, choose generalized RBF neural network to crude oil pipeline, the three conditions for pattern recognition, the selection pressure sonic signal characteristic parameters of the neural network, and the network of three kinds of condition for pattern classification.