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.

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.

Pipeline Leak Detection System for Oil and Gas Flowlines

1997 ◽  
Vol 119 (1) ◽  
pp. 105-109 ◽  
Author(s):  
J. M. Rajtar ◽  
R. Muthiah
Keyword(s):  
Acoustic Emission ◽  
Oil And Gas ◽  
Production Systems ◽  
Detection System ◽  
Leak Detection ◽  
Production Costs ◽  
Closed Field ◽  
Two Phase ◽  
Expected Performance ◽  
Potential Applications

Petroleum fluids in production systems are frequently transported by surface steel pipelines of low diameter working at low pressures and under a two-phase flow regime. These pipelines operate without permanent, continuous supervision for leaks. The leaked volume is usually high before the leak is noticed and stopped. High leak volumes pollute the environment and increase production costs. This paper describes the expected performance of the acoustic emission leak detection system for low pressure flowlines in oil and gas gathering installations. The developed system detects acoustic emission signals generated by leaks. Specific features of the system are discussed. The system was tested in a closed field scale two-phase flowloop. Example results of tests are reported. The paper is completed with conclusions and discussion of potential applications of the system.

Instrumentation Improvements for the Leak Detection and Batch Tracking Systems of the Sa˜o Paulo Brasi´lia Pipeline (OSBRA)

2008 ◽  
Author(s):  
Ma´rcio Manha˜es Gomes de Almeida ◽  
Jose Augusto Morais de Andrade ◽  
Andre Paulo Kotchetkoff Neto
Keyword(s):  
Detection System ◽  
Leak Detection ◽  
Diesel Oil ◽  
Flow Measurements ◽  
Control Center ◽  
Tank Farm ◽  
Field Instrumentation ◽  
Pumping Stations ◽  
Actual Field ◽  
First Time

OSBRA is the 964 Km pipeline which supplies over 6.500.000 m3/year of gasoline, diesel oil and LPG to the Brazilian Midwestern region. Products on OSBRA pipeline are pumped 24 hours a day and 365 days a year on a scheduled basis from Planalto Paulista Refinery – REPLAN to 5 midsize cities through 6 remote operated pumping stations located along the pipeline. The pipeline operation, including pumping and valve actuations and tank farm monitoring, is done remotely from PETROBRAS Transporte S/A – TRANSPETRO National Pipeline Control Center (CNCO). A real time leak detection system (LDS) was supplied and installed at the CNCO. The LDS is based on measurements of flow and pressure as well as pump and valve status along the pipeline. An actual field leak test was done in order to validate and verify the LDS performance. The LDS performance was considered satisfactory at the first time, but after a few months an excessive number of false leak alarms started to occur. A detailed investigation was conducted both on operational procedures and field instrument installation. This report shows how this investigation was conducted and the main recommendations that were agreed in order to avoid the LDS to detract from credibility and the creation of complacency. It is presented the existing limitations on the flow measurements and the improvements that are planned to field instrumentation, operational/maintenance procedures and the OSBRA LDS and Batch Tracking models so it could reach a higher performance level.

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.

Design and Implementation of Embedded Wireless Smart Gateway Based on PXA270

2012 ◽  
Vol 463-464 ◽  
pp. 1327-1331
Author(s):  
Hong Yan Kang
Keyword(s):  
Embedded System ◽  
Smart Home ◽  
High Reliability ◽  
Low Cost ◽  
Implementation Process ◽  
Communication Technologies ◽  
Long Distance ◽  
System A ◽  
Internal Network ◽  
Distance Communication

To release the connection problem between two different wireless communication technologies in conventional smart home system, a new embedded wireless smart based on PXA270, Zigbee and GPRS was designed. Web server was built on embedded system which uses PXA270 as core, and the exchange of information between internal network and the Internet via Zigbee module and GPRS module. ZigBee network mainly for short-distance communication and the GPRS network mainly for long-distance communications, so they can on the basis of complementary advantages to achieve a long-distance data transmission linked together by gateway. This paper presents the hardware architecture and the software implementation process. The experimental results show that this system has advantages of high reliability and low cost, so it can be applied to environmental monitoring and the smart home system

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