Automated Oil and Gas Pipeline Vandalism Detection System

2020 ◽  
Author(s):  
Godswill Ofualagba ◽  
O'tega Ejofodomi
Keyword(s):  
Oil And Gas ◽  
Detection System ◽  
Gas Pipeline ◽  
Vandalism Detection

The New CSA Standard for Leak Detection

2010 ◽  
Author(s):  
Don Scott ◽  
Ulli Pietsch
Keyword(s):  
Oil And Gas ◽  
Task Force ◽  
Detection System ◽  
Leak Detection ◽  
Liquid Hydrocarbon ◽  
Technical Committee ◽  
Gas Pipeline ◽  
Current Technology ◽  
The Us ◽  
Pipeline Systems

Standards and Recommended Practices require periodic updating so they represent current technology and industry practices. Canadian Standards Association (CSA) Z662 “Oil and Gas Pipeline Systems” contains Annex E that covers software-based leak detection for liquid hydrocarbon pipelines. The CSA Technical Committee determined that is was time to update Annex E. A Task Force of industry experts and regulators met over a period of 18 month to draft a new Annex E. This paper outlines some of the significant features of the new Annex and where possible does a comparison with the similar section in American Petroleum Institute’s API 1130 which covers recommended practice for software based leak detection in the US. A pipeline operator should consider using both Annex E and API 1130 in the implementation and use of a software-based leak detection system. The CSA Task Force did not want to copy and modify API 1130 to provide a new Annex E, so both documents provide necessary information.

Gas pipeline leakage detection in the presence of parameter uncertainty using robust extended Kalman filter

2021 ◽  
pp. 014233122198911
Author(s):  
Mohadese Jahanian ◽  
Amin Ramezani ◽  
Ali Moarefianpour ◽  
Mahdi Aliari Shouredeli
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Parameter Uncertainty ◽  
Oil And Gas ◽  
Estimation Error ◽  
Real Data ◽  
Gas Pipeline ◽  
Pipeline System ◽  
Parameter Uncertainties ◽  
Simulation Results

One of the most significant systems that can be expressed by partial differential equations (PDEs) is the transmission pipeline system. To avoid the accidents that originated from oil and gas pipeline leakage, the exact location and quantity of leakage are required to be recognized. The designed goal is a leakage diagnosis based on the system model and the use of real data provided by transmission line systems. Nonlinear equations of the system have been extracted employing continuity and momentum equations. In this paper, the extended Kalman filter (EKF) is used to detect and locate the leakage and to attenuate the negative effects of measurement and process noises. Besides, a robust extended Kalman filter (REKF) is applied to compensate for the effect of parameter uncertainty. The quantity and the location of the occurred leakage are estimated along the pipeline. Simulation results show that REKF has better estimations of the leak and its location as compared with that of EKF. This filter is robust against process noise, measurement noise, parameter uncertainties, and guarantees a higher limit for the covariance of state estimation error as well. It is remarkable that simulation results are evaluated by OLGA software.

Applying the Quantitative Risk Assessment (QRA) to Improve Safety Management of Oil and Gas Pipeline Stations in China

2012 ◽  
Author(s):  
Wenxing Feng ◽  
Xiaoqiang Xiang ◽  
Guangming Jia ◽  
Lianshuang Dai ◽  
Yulei Gu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Environmental Protection ◽  
Oil And Gas ◽  
Hazard Identification ◽  
Gas Pipeline ◽  
Industrial Safety ◽  
Quantitative Risk Assessment ◽  
Chinese Government ◽  
Land Resource ◽  
Oil Pipeline

The oil and gas pipeline companies in China are facing unprecedented opportunities and challenges because of China’s increasing demand for oil and gas energy that is attributed to rapid economic and social development. Limitation of land resource and the fast urbanization lead to a determinate result that many pipelines have to go through or be adjacent to highly populated areas such as cities or towns. The increasing Chinese government regulation, and public concerns about industrial safety and environmental protection push the pipeline companies to enhance the safety, health and environmental protection management. In recent years, PetroChina Pipeline Company (PPC) pays a lot of attention and effort to improve employees and public safety around the pipeline facilities. A comprehensive, integrated HSE management system is continuously improved and effectively implemented in PPC. PPC conducts hazard identification, risk assessment, risk control and mitigation, risk monitoring. For the oil and gas stations in highly populated area or with numerous employees, PPC carries out quantitative risk assessment (QRA) to evaluate and manage the population risk. To make the assessment, “Guidelines for quantitative risk assessments” (purple book) published by Committee for the Prevention of Disasters of Netherlands is used along with a software package. The basic principles, process, and methods of QRA technology are introduced in this article. The process is to identify the station hazards, determinate the failure scenarios of the facilities, estimate the possibilities of leakage failures, calculate the consequences of failures and damages to population, demonstrate the individual risk and social risk, and evaluate whether the risk is acceptable. The process may involve the mathematical modeling of fluid and gas spill, dispersion, fire and explosion. One QRA case in an oil pipeline station is described in this article to illustrate the application process and discuss several key issues in the assessment. Using QRA technique, about 20 stations have been evaluated in PPC. On the basis of the results, managers have taken prevention and mitigation plans to control the risk. QRAs in the pipeline station can provide a quantitative basis and valuable reference for the company’s decision-making and land use planning. Also, QRA can play a role to make a better relationship between the pipeline companies and the local regulator and public. Finally, this article delivers limitations of QRA in Chinese pipeline stations and discusses issues of the solutions.

Direct Observation of Odometer Trajectory When Passing over Weld in Oil and Gas Pipeline

2019 ◽  
Vol 10 (1) ◽  
pp. 05018006
Author(s):  
Xiaoxiao Zhu ◽  
Chunhua Zhao ◽  
Xiaolong Li ◽  
Shimin Zhang ◽  
Shuhai Liu
Keyword(s):  
Direct Observation ◽  
Oil And Gas ◽  
Gas Pipeline
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