Leak Detection Method for Long Pipeline Based on Dynamic Pressure and Wavelet Analysis

2010 ◽  
Author(s):  
Bin Xu ◽  
Likun Wang ◽  
Hongchao Wang ◽  
Min Xiong ◽  
Dongliang Yu ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Pressure Sensor ◽  
Static Pressure ◽  
Detection Method ◽  
Detection System ◽  
Dynamic Pressure ◽  
Field Tests ◽  
Leak Detection ◽  
Analysis Method ◽  
System A

Architecture of the leak detection system is presented, and the leak detection method based on dynamic pressure and wavelet analysis is studied in this paper. The feature of dynamic pressure which is generated by the leakage of pipeline is analyzed. The dynamic pressure signal of pipeline internal pressure is acquired by dynamic pressure sensor when leakage occurs, and the signal is analyzed by wavelet analysis method to detect the singularity, and the singularity is used to recognize and locate the leak. From the comparison of analysis results between dynamic pressure and static pressure, in order to improve the sensitivity and stability of the leak detection system, a polling rule between dynamic and static pressure is implemented. Field tests of the leak detection system are presented and analyzed. The results of the field tests demonstrate that the leak detection method based on dynamic pressure and wavelet analysis can detect pipeline leak rapidly and locate the leak precisely. This leak detection system has been applied in 5000 km pipeline or so.

Research on Pipeline Leak Detection Method Based on Joint Pressure and Dynamic Pressure

2010 ◽  
Author(s):  
Likun Wang ◽  
Min Xiong ◽  
Jinyun Zhao ◽  
Hongchao Wang ◽  
Bin Xu ◽  
...  
Keyword(s):  
Internal Pressure ◽  
Static Pressure ◽  
Detection Method ◽  
Dynamic Pressure ◽  
Field Tests ◽  
Leak Detection ◽  
Location Error ◽  
Pressure Signal ◽  
Pressure Transmitter ◽  
Pressure Changes

The dynamic pressure transmitter based on piezoelectric dynamic pressure transducer is designed. The characteristic of dynamic pressure transmitter when pipeline leak happened is analyzed. The dynamic pressure signal is suitable for pipeline leak detection for quick-change of pipeline internal pressure, while the static pressure is suitable for slow-change of pipeline internal pressure. This paper indicated that the dynamic pressure signal could be adjust to this detection that the pressure changes quickly in the pipeline. Field tests show that the proposed method detects pipeline leak rapidly and precisely. The field test in 68.2 km pipeline shows that the least detected leakage ratio with dynamic pressure method is 0.6 percent pipeline throughput and location error is 80 m.

Oil Pipeline Leak Detection System Based on Acoustic Wave Technology

2012 ◽  
Vol 220-223 ◽  
pp. 1628-1632
Author(s):  
Li Kun Wang ◽  
Bin Xu ◽  
Hong Chao Wang ◽  
Shi Li Chen ◽  
Jia Yong Wu ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Acoustic Wave ◽  
Internal Pressure ◽  
Detection System ◽  
Dynamic Pressure ◽  
Field Tests ◽  
Leak Detection ◽  
Oil Pipeline ◽  
Pressure Signal ◽  
Pressure Transmitter

Principle of the pipeline leak detection system is presented, and the leak detection method based on acoustic wave and wavelet analysis is studied in this paper. The dynamic pressure transmitter based on piezoelectric dynamic pressure transducer is designed. The characteristic of dynamic pressure transmitter when pipeline leak happened is analyzed. The dynamic pressure signal is suitable for pipeline leak detection for quick-change of pipeline internal pressure, while the static pressure is suitable for slow-change of pipeline internal pressure. The signal is analyzed by wavelet analysis method to detect the singularity, and the singularity is used to recognize and locate the leak. This paper indicated that the dynamic pressure signal could be adjust to this detection that the pressure changes in the pipeline. Field tests in 68.2 km pipeline segment show that the method detects pipeline leak rapidly and precisely.

Leak Detection Systems for Multiphase Flow: Moving Forward

2002 ◽  
Author(s):  
Renan Martins Baptista ◽  
Carlos Henrique Wildhagen Moura
Keyword(s):  
Multiphase Flow ◽  
Detection System ◽  
Field Tests ◽  
Volumetric Flow Rate ◽  
Leak Detection ◽  
Physical Contact ◽  
Thermal Mass ◽  
Water Emulsion ◽  
Detection Techniques ◽  
Report Data

Multiphase flow is one of the most difficult situations for leak detection in pipelines, due to several reasons: the existence of two different and independent flow rates at each phase, five or more possible flow patterns, different fluid velocities at the phases, and sometimes a non-Newtonian associated behavior, due to the formation of an oil-water emulsion. There are two main groups for leak detection techniques: the models (or CPM, as stated in [API_1130]) which monitor the flow in real time (CVB, RTTM, PPA, etc.) from inside the pipeline (the instrument sensor is actually in physical contact with the fluid), and try to model the flow using a state estimator; and those based on dedicated external sensors (thermal, mass dispersion, etc) along the pipeline. Most of the technologies at the first group rely entirely on volumetric flow rate measurements, which turn them quite ineffective for multiphase flow. It is also relevant to consider that in some multiphase flow pipelines, the flow pattern changes quite random and intensively, allowing from a bubble pattern, to a slug pattern. There is sometimes the situation where a gas slug is big enough to fill entirely a short line and allow it to behave similarly to a gas pipeline, during a certain time (in fact, this was the case of one of the field tests this work will describe). This will bring unpredictability to those lines, in opposition to a regular single-phase line. Within this frame, the systems based on prediction approaches (hydraulic, statistical, etc, i. e., CPM’s), will show a good probability to be unreliable, inaccurate and not sensitive. The acoustic system is an exception to those two groups of technologies previously mentioned. It has, on one hand, a sensor that really touches the fluid (which would suggest it to be within the first group), but there’s no flow model behind it, on the other hand, but an acoustic sign analysis algorithm, acting somewhat like a piece of hardware. This paper will describe, discuss and report data for tests using an acoustic leak detection system at three different multiphase flow pipelines in Brazil, managed by PETROBRAS Production & Exploration Department.

scholarly journals Classification Accuracy Enhancement Based Machine Learning Models and Transform Analysis

2021 ◽  
Vol 23 (2) ◽  
pp. C44-C53
Author(s):  
Hanan A. R. Akkar ◽  
Wael A. H. Hadi ◽  
Ibraheem H. Al-Dosari ◽  
Saadi M. Saadi ◽  
Aseel Ismael Ali
Keyword(s):  
Machine Learning ◽  
Mean Squared Error ◽  
Detection System ◽  
Signal To Noise Ratio ◽  
Leak Detection ◽  
The Novel ◽  
Denoising Method ◽  
System A ◽  
New Novel ◽  
Water Pipeline

The problem of leak detection in water pipeline network can be solved by utilizing a wireless sensor network based an intelligent algorithm. A new novel denoising process is proposed in this work. A comparison study is established to evaluate the novel denoising method using many performance indices. Hardyrectified thresholding with universal threshold selection rule shows the best obtained results among the utilized thresholding methods in the work with Enhanced signal to noise ratio (SNR) = 10.38 and normalized mean squared error (NMSE) = 0.1344. Machine learning methods are used to create models that simulate a pipeline leak detection system. A combined feature vector is utilized using wavelet and statistical factors to improve the proposed system performance.

Oil and Gas Offshore Pipeline Leak Detection System: A Feasibility Study

2014 ◽  
Vol 699 ◽  
pp. 891-896 ◽  
Author(s):  
Mohamad Fani Sulaima ◽  
F. Abdullah ◽  
Wan Mohd Bukhari ◽  
Fara Ashikin Ali ◽  
M.N.M. Nasir ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Oil And Gas ◽  
Detection System ◽  
Leak Detection ◽  
Inspection Time ◽  
Related Data ◽  
Detection Systems ◽  
System A ◽  
Detection Technology ◽  
Offshore Pipeline

Pipelines leaks normally begin at poor joints, corrosions and cracks, and slowly progress to a major leakage. Accidents, terror, sabotage, or theft are some of human factor of pipeline leak. The primary purpose of Pipeline leak detection systems (PLDS) is to assist pipeline operators in detecting and locating leaks earlier. PLDS systems provide an alarm and display other related data to the pipeline operators for their decision-making. It is also beneficial because PLDS can enhance their productivity by reduced downtime and inspection time. PLDS can be divided into internally based or computational modeling PLDS Systems and external hardware based PLDS. The purpose of this paper is to study the various types of leak detection systems based on internally systemtodefine a set of key criteria for evaluating the characteristics of this system and provide an evaluation method of leak detection technology as a guideline of choosing the appropriate system.

Study on Wheel Run-Out Detection System Based on Harmonic-Analysis Principle

2015 ◽  
Vol 738-739 ◽  
pp. 771-774
Author(s):  
Yu Zhuo Men ◽  
Xiao Dong Yang ◽  
Jin Gang Gao ◽  
Lei Yu ◽  
Hai Bo Yu
Keyword(s):  
Harmonic Analysis ◽  
Detection Method ◽  
Detection System ◽  
Moving Average ◽  
Digital Filtering ◽  
Measured Data ◽  
Practical Application ◽  
Online Detection ◽  
Filtering Method ◽  
System A

In order to reduce error of the wheel run-out detection system, a harmonic-analysis-based detection method was proposed to enhance the precision of online detection. The moving average filtering method was used for digital filtering between the axial and radial run-out errors so that to decrease the effect of outside noise on the measured data. Practical application shows that this system works stably and reliably on the wheel detection line and it realizes 100% online detection on the axial and radial run-out of work pieces, with the measurement error lower than 0.1mm.

Pressure Sensor Based Tsunami Detection System: A Laboratory Study

2006 ◽  
Author(s):  
K.R. Viveka ◽  
S. Ramgopal ◽  
N. Praveen ◽  
K. Rajanna ◽  
M.M. Nayak
Keyword(s):  
Laboratory Study ◽  
Pressure Sensor ◽  
Detection System ◽  
Tsunami Detection ◽  
System A

scholarly journals Quantifying Acoustic and Pressure Sensing for In-Pipe Leak Detection

2010 ◽  
Author(s):  
Atia E. Khalifa ◽  
Dimitris M. Chatzigeorgiou ◽  
Kamal Youcef-Toumi ◽  
Yehia A. Khulief ◽  
Rached Ben-Mansour
Keyword(s):  
Flow Rate ◽  
Pipe Flow ◽  
Pressure Transducer ◽  
Detection System ◽  
Dynamic Pressure ◽  
Low Frequency ◽  
Leak Detection ◽  
Pressure Sensing ◽  
Flow Rates ◽  
Absolute Value

Experiments were carried out to study the effectiveness of using inside-pipe measurements for leak detection in plastic pipes. Acoustic and pressure signals due to simulated leaks, opened to air, are measured and studied for designing a detection system to be deployed inside water networks of 100 mm (4 inch) pipe size. Results showed that leaks as small as 2 l/min can be detected using both hydrophone and dynamic pressure transducer under low pipe flow rates. The ratio between pipe flow rate and leak flow rate seems to be more important than the absolute value of leak flow. Increasing this ratio resulted in diminishing and low frequency leak signals. Sensor location and directionality, with respect to the leak, are important in acquiring clean signal.

Design of a Pipeline Leak Detection System

2014 ◽  
Vol 631-632 ◽  
pp. 529-536
Author(s):  
Qi Wang ◽  
Kai Xing Hong ◽  
Xiang Xian Chen ◽  
Hai Huang
Keyword(s):  
User Interface ◽  
Vibration Analysis ◽  
Cross Correlation ◽  
Detection System ◽  
Leak Detection ◽  
Experimental Methods ◽  
Detection Algorithm ◽  
Analysis Method ◽  
Detection Software ◽  
Hardware Designs

This paper develops a pipeline leak detection software based on the vibration analysis method. It introduces the hardware designs, experimental methods and the based theory, experimental methods, and the leak detection algorithm. The system uses the generalized cross-correlation (GCC) algorithm to analyze those signals including vibration, temperature, flow and pressure. Then the system takes use of matlab to analyze those signals to choose the best weighted methods. At last, the software uses LabVIEW to generate the fronted user interface. Key words: Leak detection; Generalized Cross-correlation; Vibration analysis; LabVIEW

Pressure Based Leak Detection for Pipelines, Implemented at Business Unit of Production and Exploration of Petrobras in Rio Grande do Norte and Ceara´

2004 ◽  
Author(s):  
Diane J. Hovey ◽  
Tuerte A. Rolim ◽  
Abelindo A. de Oliveira
Keyword(s):  
Detection System ◽  
Rio Grande ◽  
Leak Detection ◽  
Business Unit ◽  
Long Distance ◽  
Two Phase ◽  
System A ◽  
Field Instrumentation ◽  
Point Analysis ◽  
Distance Communication

This paper presents the experiences of the Petrobras Business Unit (UN-RNCE), located in Rio Grande del Norte state of Brazil, during the installation and startup of a pipeline leak detection system. The application involves nine multiphase oil pipelines that link several productions facilities together over a total distance of 450-Km. Prior to the selection and installation of this leak detection system a significant pipeline accident resulted in the pollution of Guanabara bay. The leak was not detected by the existing monitoring equipment because of the two phase and multiphase pipeline characteristics. The UN-RNCE decided to install EFA Technologies, Inc., Pressure Point Analysis (PPA)™ technology in order to detect leaks. It is a sophisticated statistical method for leak detection, uses very simple field instrumentation, which facilitates ease of installation and maintenance. However, in order to get the best performance out of the system, it is necessary to understand how the pipeline control processes operate and to have a fast, reliable SCADA system for long distance communication. This paper includes the test results, conclusions and the recommendations to expand the system.

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