scholarly journals UAV and Its Approach in Oil and Gas Pipeline Leakage Detection

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Saheed Akande ◽  
Adedotun Adetunla ◽  
Tosin Olanrewaju ◽  
Adeyinka Adeoye

The synergy of vibration and gas sensors with unmanned aerial vehicles for a low-response-time Leakage Detection System (LDS) is explored in this work. Several pipeline accidents have occurred, most of which were triggered by untimely detection of pipe leakages in systems conveying oil and gas in many developing countries. The consequences of this include human casualties, environmental degradation, economic loss, and loss of resources. To limit the damages caused by inevitable leakages, a low-time-response system for leakage detection is required. Response time derived from the LDS is compared to the typical response time obtained from an existing system to determine the efficiency of the developed system. A comparative analysis of the response time of the designed LDS and existing systems reveals that the designed LDS response time is 1146.7% faster and having a pictorial view of the localized area of interest would go a long way to preventing unnecessary mobilization for site visits and eradicating the costly effect of false alarms.

2011 ◽  
Vol 128-129 ◽  
pp. 676-681 ◽  
Author(s):  
Hong Mei Kai ◽  
Xiao Jie Liu ◽  
Ya Fei Liu ◽  
Lin Zhou

As soon as the Intrusion Detection System (IDS) detects any suspicious or malicious activity, it will generate alarms. Unfortunately, the triggered alarms usually are accompanied with huge number of false alarms (false-positives and false-negatives) which is the key performance parameters of the IDS. The risk of false-negatives is higher than false-positives. In our previous paper, we proposed a novel intelligent intrusion detection, decision, response system (I2D2RS) with fuzzy theory, which use the two essential information times and time, of the failed login to decide automatically the attacker like an experienced system/security administrator. Though the system can reduce the false alarms perfectly, the capability of processing simultaneous multi-point attack is relatively weak, and then false-negatives will be occurred. In this paper, we employ a preprocessing module to collect the failed login information before data processing. The proposed approach changes the processing procedure from serial to parallel processing, thus eliminates the false-negatives. The efficiency of these improvements was confirmed with the experiments.


2014 ◽  
Vol 699 ◽  
pp. 891-896 ◽  
Author(s):  
Mohamad Fani Sulaima ◽  
F. Abdullah ◽  
Wan Mohd Bukhari ◽  
Fara Ashikin Ali ◽  
M.N.M. Nasir ◽  
...  

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.


Author(s):  
Likun Wang ◽  
Jian Li ◽  
Ke Peng ◽  
Shijiu Jin ◽  
Zhuang Li

With the increase of the age of the transport oil pipeline and the man-made destruction to pipeline, leaks are often found. The system for pipeline leakage detection and location must be established to find leakage and locate the leak positions to reduce serious environmental pollution and economic loss caused by leakage. The negative pressure wave method is an effective way to locate the leak position, because over 98 percent pipe leakage in China is paroxysmal. There is a SCADA (supervisory control and data acquisition) system to monitor operation for long transport petroleum pipe, but the function of leakage detection and location is not included in existing SCADA system in China. This paper used Dynamic Data Exchange (DDE) method to obtain pipe operation parameters such as pressure, flow rate, temperature, bump current, valve position and so on from the SCADA system. That takes full advantage of the abundant data collection function of the SCADA system to provide data for leakage detection and location. The wavelet packet analysis-based fault diagnosis method can directly use the change of parameters such as energy of frequency component to detect faults without system model. In the paper, a wavelet packet analysis-based characteristic extraction method is used to extract the characteristic information of leak pressure signals. The eigenvector indexes along with the parameters obtained from the SCADA system can be used to avoid false alarms. Wavelet analysis was used to locate leak positions accurately in this paper. Such a wavelet analysis-based leakage detection and location scheme embedded in the SCADA system has been successfully applied to a pipeline in PetroChina. Practical run demonstrated its well effect.


2014 ◽  
Vol 568-570 ◽  
pp. 468-472
Author(s):  
Cai Xia Liu ◽  
Fang Yi Xie

A perimeter intrusion detection system (PIDS) based on sensor network is proposed and designed for safeguarding important area from illegal intrusion. The PIDS consists of a front-end detection sub-system, a control center sub-system, anassociated sub-system, a network transmission sub-system and a power supply sub-system. The front-end detection sub-system is a sensor network containing a large number of smart sensors, which are of different types and functions. The control center sub-system is an integrated control platform based on the special analysis software, which can accurately identify the type of intrusion, locate the intrusion target, and reduce false alarms caused by environmental interference. The other four sub-systems provide the associated video monitoring, acoustic or optical alarm, wired or wireless transmission and AC or DC power supply. The development of sensor network technology has been and will continue to promote the PIDS technology.


Author(s):  
Kaushik Parmar ◽  
Chaneel Park ◽  
Simon Park

Leakage in oil and gas infrastructure, often cause significant financial losses, severe damage to the environment and raises public concern. In order to minimize the impact of spills, quick detection of a leak and a rapid response are needed. The systems currently employed to detect pipeline leakage range from simple visual checking to complex hardware and software systems such as mass balance, pressure point analysis, flow deviation, acoustic emission systems, and fibre-optic-based sensing technologies. These methods are useful, but there are certain limitations. The main drawback of the majority of these leak detection technologies is that they detect leakage indirectly, often unable to detect the leakage until the major spill. The preventive monitoring system and direct detection of hydrocarbon leakage are urgently needed to enable fast response and timely repairs with less deleterious effects. Research is being conducted for the development of a functional prototype and environmental testing of in-situ carbon nanotube (CNT) nanocomposite based sensors for hydrocarbon leakage detection. The CNT nanocomposite offers a unique approach to the direct hydrocarbon leakage detection in pipelines and aboveground storage tanks (ASTs). Expanding the study from the previous report of sensor characteristics under the optimal ambient condition, it was further investigated to identify the sensor performance under harsh conditions such as the underground (exposed to the soil) with compost and moisture, high pressure, changing temperature and long-term exposure to the outdoor environment. Investigation of the sensor behavior is studied, and a performance matrix is developed that accounts for the change in sensor response to various environmental conditions. Results showed that the proposed CNT nanocomposite sensor was applicable under given conditions with immediate responses while maintaining high sensitivity to the hydrocarbon leakage. Once a list of sensor detection specifications is defined, it is anticipated that the CNT sensor technology is applicable as part of a robust, reliable and accurate early detection system for the pipeline industry.


2015 ◽  
Vol 738-739 ◽  
pp. 50-55 ◽  
Author(s):  
Cai Xia Liu ◽  
Kai Lu

Since the Security Infrastructure Construction Standard forCivil Aviation Transportation Airport (MH/T 7003-2008) revised by Civil Aviation Administration of China in 2008, more and more technologies have been applied in the airport security to meet the standard requirements. With the advent of internet of things era, the things interconnection and the coordination sensation of sensor network technology provide a new technical means for airport security. A perimeter intrusion detection system (PIDS) based on sensor network is proposed and designed for safeguarding airport flight area from illegal intrusion. The PIDS consists of a front-end detection sub-system, a control center sub-system, a network transmission sub-system, a power supply sub-system, an intelligent video sub-system , a video monitor sub-system, a combination meteorological sub-system and a lighting and sound alarm sub-system.It can accurately identify the type of intrusion, locate the intrusion target, and reduce false alarms caused by environmental interference. The PIDS based on sensor network has been successfully applied in the security of Shanghai Pudong International Airport flight area.


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