Top PDF Methods for the Detection of Subterranean Methane Leakage

Methods for the Detection of Subterranean Methane Leakage

Methods for the Detection of Subterranean Methane Leakage

Abstract The development of small unmanned aircraft systems (sUAS) has led to a plethora of industry applications. One such application for a sUAS is detecting subterranean methane leakage. The rapid detection of methane will streamline work in industries such as con- struction and utilities. However, prior to flying a sUAS, the optimal way to detect methane must be determined so that unknown levels of subterranean methane leakage can be de- tected accurately and efficiently. In this thesis, two methods were used in conjunction to optimize a sUAS method for methane detection. The primary objective was to use hyperspectral data to locate the optimal wavelengths for methane detection for use on a sUAS. This was accomplished in two parts. The first part of the study was a simulated pipeline experiment where a copper pipe and mass flow controller were used to mimic a natural pipeline leak close to the surface. The methane-stressed and healthy vegeta- tion were measured daily using a handheld spectrometer alongside two other forms of stressed vegetation. The analysis of the data showed potentially important variation at a two band combination of wavelengths. The second part of the study used the measured hyperspectral data as targets for a combination of atmospheric models developed using
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Discovery. Data Leakage Detection and Prevention Methods: Survey ANALYSIS. Page95

Discovery. Data Leakage Detection and Prevention Methods: Survey ANALYSIS. Page95

IV. CONCLUSION In this paper we present different types of Data Leakage Detection and Prevention methods. Every method has its own advantages and disadvantages. Because of the high false positive rate some methods are not used in now a days and some of the methods are commercial products. From this survey, it can be concluded that all these methods are helps to stop sensitive data from leaving the organization private network.

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A review of vibration detection methods using accelerometer sensors for water pipeline leakage.

A review of vibration detection methods using accelerometer sensors for water pipeline leakage.

in pipeline systems [58]. Complicated approaches are used to diagnose pipes by capturing the change in the frequency response function (FRF) of the noise due to a leak or by estimating the time delay between recorded signals with different sensors. The main advantages of this method are: (i) it can detect leaks that other acoustic methods cannot; (ii) it is accurate; (iii) it is less dependent on the operator skill, and (iii) it is easy to use. The main disadvantages of this method are: (i) a contact location is required; (ii) it is difficult to correlate quiet leaks,; and (iii) it performs poorly for PVC/large-diameter pipes due to interfering sig- nals from external sources and excessive signal attenuation. Although the acoustic leak detection method has several limitations, it works well for detecting and locating leaks in metal pipes. However, this method does not perform well when applied to pipes made of soft materials, such as plastic [56], because soft pipes are more ’elastic’ and can reduce sound waves by 300-600 m/sec. Due to their viscoelastic properties, plastic pipes also absorb sound energy thus weak- ening the sound waves. Furthermore, the high-frequency noise increases when the sound waves travel along the water pipeline system. Analysing these noise signals will make this process more complicated [22]. The accuracy of leakage detection is also affected by the presence of air in the pipeline system. The presence of air can reduce the bulk modulus and density of the liquid and lead to a decrease in acoustic velocity. Additionally, theoretical studies have suggested that suspended solid may make the liquid more dense and hence decreases the acoustic velocity [56].
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An Examination of Enhanced Atmospheric Methane Detection Methods for Predicting Performance of a Novel Multiband Uncooled Radiometer Imager

An Examination of Enhanced Atmospheric Methane Detection Methods for Predicting Performance of a Novel Multiband Uncooled Radiometer Imager

Received: 25 February 2020 – Discussion started: 9 April 2020 Revised: 21 July 2020 – Accepted: 9 August 2020 – Published: 9 October 2020 Abstract. To evaluate the potential for a new uncooled in- frared radiometer imager to detect enhanced atmospheric levels of methane, three different analysis methods were examined. A single-pixel brightness temperature to noise- equivalent delta temperature (NEdT) comparison study per- formed using data simulated from MODTRAN6 revealed that a single thermal band centered on the 7.68 µm methane feature leads to a detectable brightness temperature differ- ence exceeding the sensor noise level for a plume of about 17 ppm at ambient atmospheric temperature compared to an ambient plume with no enhanced methane present. Applica- tion of a normalized differential methane index method, a novel approach for methane detection, demonstrated how a simple two-band method can be utilized to detect a plume of methane that is 10 ppm above ambient atmospheric con- centration and −10 K from ambient atmospheric tempera- ture with an 80 % hit rate and 17 % false alarm rate. This method was capable of detecting methane with similar lev- els of success as the third method, a proven multichannel method, matched filter. The matched-filter approach was per- formed with six spectral channels. Results from these ex- aminations suggest that given a high enough concentration and temperature contrast, a multispectral system with a sin- gle band allocated to a methane absorption feature can detect enhanced levels of methane.
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Current advances in molecular methods for detection of nitrite dependent anaerobic methane oxidizing bacteria in natural environments

Current advances in molecular methods for detection of nitrite dependent anaerobic methane oxidizing bacteria in natural environments

(2016) Current advances in molecular methods for detection of nitrite-dependent anaerobic methane oxidizing bacteria in natural environments.. Applied Microbiology and Biotechnology, 1[r]

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Detection and isotopic characterisation of methane emissions:An integrated approach developing and applying mobile methods and stationary measurements

Detection and isotopic characterisation of methane emissions:An integrated approach developing and applying mobile methods and stationary measurements

Killops, S., Killops, V., 2013. Long-Term Fate of Organic Matter in the Geosphere, in: Introduction to Organic Geochemistry. Blackwell Publishing Ltd., Malden, MA USA, pp. 117–165. https://doi.org/10.1002/9781118697214.ch4 Kirschke, S., Bousquet, P., Ciais, P., Saunois, M., Canadell, J.G., Dlugokencky, E.J., Bergamaschi, P., Bergmann, D., Blake, D.R., Bruhwiler, L., Cameron-Smith, P., Castaldi, S., Chevallier, F., Feng, L., Fraser, A., Heimann, M., Hodson, E.L., Houweling, S., Josse, B., Fraser, P.J., Krummel, P.B., Lamarque, J.-F., Langenfelds, R.L., Le Quéré, C., Naik, V., O’Doherty, S., Palmer, P.I., Pison, I., Plummer, D., Poulter, B., Prinn, R.G., Rigby, M., Ringeval, B., Santini, M., Schmidt, M., Shindell, D.T., Simpson, I.J., Spahni, R., Steele, L.P., Strode, S. A., Sudo, K., Szopa, S., van der Werf, G.R., Voulgarakis, A., van Weele, M., Weiss, R.F., Williams, J.E., Zeng, G., 2013. Three decades of global methane sources and sinks. Nat. Geosci. 6, 813–
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From  Improved  Leakage  Detection  to  the  Detection  of  Points  of  Interests  in  Leakage  Traces

From Improved Leakage Detection to the Detection of Points of Interests in Leakage Traces

4 Experimental results In order to discuss the pros and cons of the two previous leakage detection test, we now consider various experimental results. We start with a simulated setting which allows us to control all the parameters of the leakages to detect, in order to discuss the sampling complexity of both methods. Next, we analyze actual leakage traces obtained from the measurement setup described in Section 2.1, which allows us to put forward the intuitions provided by the t-test and ρ-test regarding the time localization of the informative samples in our traces.
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Leakage Detection Using PLUMBOAT

Leakage Detection Using PLUMBOAT

Detection using acoustics: The above method is adopted in foreign countries for the detection of leakage in the underground pipes. It is also very costly since it requires the core knowledge and application of acoustics. It consists of methods wherein a human being has to hear the sounds and also study the intensity of the sounds underground. Also, the pressure and sound intensity need to be compared. Size of the pipe also needs to be considered. This method is not always accurate. Its implementation also requires a large amount of concentration. It is also very expensive.
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Leakage Detection Using “PLUMBOAT”

Leakage Detection Using “PLUMBOAT”

Detection using acoustics: The above method is adopted in foreign countries for the detection of leakage in the underground pipes. It is also very costly since it requires the core knowledge and application of acoustics. It consists of methods wherein a human being has to hear the sounds and also study the intensity of the sounds underground. Also, the pressure and sound intensity need to be compared. Size of the pipe also needs to be considered. This method is not always accurate. Its implementation also requires a large amount of concentration. It is also very expensive.
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Research on Leakage Detection and Analysis of Leakage Point in the Gas Pipeline System

Research on Leakage Detection and Analysis of Leakage Point in the Gas Pipeline System

2.6. Transient Simulation Model Transient flow is simulated utilizing perfect numerical methods based on actual data. Pressure and temperature served as independent variables are provided in order to get average pressure and average temperature. We can switch the Equations (13) and (14) to different equations which can be solved with boundary information by virtue of finite difference method. Then all the parameters of the gas in the pipeline system can be acquired.

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Detection Of Data Leakage In Cloud Storages

Detection Of Data Leakage In Cloud Storages

1089 Detection Of Data Leakage In Cloud Storages Naresh Vurukonda, Allu Venkata Dattatreya Reddy, Gutta Chiranjeevi, Kancharla Raviteja Abstract: Leakage of sensitive data may leads to the loss of confidential and integrity. Some of the data may be leaked and found on we b or untrusted users. Distributor have to take upon these situations in order to maintain data confidentiality and ensure a safe data transaction. Many small business authorities have data leak issues via internet or other means. We would like to propose a alternative methodology to implemen t in real world and it is different from traditional methods. Traditional methods contain “watermarking” and in some cases we can also inject “realistic but fake” data records to further improve our chances of detecting leakage and identifying the guilty party. But this also will not work if the guilt agent knows the fake objects. So the other method for getting the guilt agents is to be determined. Many methods have been in existence but every method is being override by other means using complex methodologies and by various combinations of the algorithms. These complex methods would secure much bet ter than older ones. We are finding the agents by taking the parameters like how much time he is spending in the data, how many times he ope ned that file etc.... we can find the probability if the probability is more than the threshold value then we can conclude that the agent had compromised. In this model we use the previous methods knowledge to predict the agents or to over come in the solution.
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Leakage  Detection  with  Kolmogorov-Smirnov  Test

Leakage Detection with Kolmogorov-Smirnov Test

Note that although it is difficult for the evaluator to precisely determine the location of l i , we assume that ` time point candidates can be discovered for each share by some advanced methods such as points of interest extraction [29,7,13] or a priori knowledge about the masked implementation. Thus, the (d+ 1)` time points should be analysed which implies that the size of all possible tuples would be ` d+1 . Since we focus on the general approach of leakage detection based on KS test and its efficiency in this paper, we just consider only one of the ` d+1 tuples.

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Specification for Water Leakage Detection Survey

Specification for Water Leakage Detection Survey

Requirements for Water Leakage Detection Survey Foreword It’s been more than ten years now since the disastrous landslip that occurred in Kwun Lung Lau on Hong Kong Island on 23 July, 1994. Since 1995, the Government of HKSAR has awarded tens of millions of dollars in contracts related to detection of leakage from buried water carrying services throughout the territory. As expected, this sequence of events generated an increasingly large pool of “underground Utility Specialists”, with most working almost independently, devoid of any standardized surveying methods, quality requirements (on survey results) and the “registration” of operation personnel in the market.
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Review of Water Leakage Detection Approaches

Review of Water Leakage Detection Approaches

5. CONCLUSION Water leakage detection is important aspect of water supply or distribution system for sustainable development of cities. This paper presents the study of different approaches of water leakage detection techniques and aiming to understand the methodologies implemented till now. The various described methods in this paper suggests various leakage detection techniques, majority of the techniques are build up on using acoustic measurements, pressure measurements and also vision based system, flow, temperature variations in the supply. Proper selection and implementation of any of the method should be done according to the need. The system should also be beneficial to the environmental, economic conditions of life cycle. The cost effective, high performance, and reliable leakage detection technique has to be build up. This paper describes the number methods for the finding the leaks and there location. However their real time application founded to be generally limited. The efficiency of each of the method is sensitive to the quality of information provided in the real time environment by the sensors.
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DATA LEAKAGE DETECTION IN CLOUD COMPUTING

DATA LEAKAGE DETECTION IN CLOUD COMPUTING

We propose data allocation strategies (across the agents) that improve the probability of identifying leakages. These methods do not rely on alterations of the released data (e.g., watermarks). In some cases we can also inject “realistic but fake” data records to further improve our chances of detecting leakage and identifying the guilty party.

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Data Leakage Detection using Cloud Computing

Data Leakage Detection using Cloud Computing

5. Proposed System We propose data allocation strategies (across the agents) that improve the chance of identifying leakages. These methods do not rely on alterations of the released data (e.g., watermarks). In some cases, we can also inject “realistic but fake” data records to any improve our chances of detecting leakage and identifying the guilty party. We also present an algorithm for distributing the object to an agent.

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Data Leakage Detection by using Fake Objects

Data Leakage Detection by using Fake Objects

In such cases, methods that attach watermarks to the distributed data are not applicable. Finally, there are also lots of other works on mechanisms that allow only authorized users to access sensitive data through access sensitive data Such approaches prevent in some sense data leakage by sharing information only with trusted parties. However, these policies are restrictive and may make it impossible to satisfy agents’

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Traffic Pattern-Based Content Leakage Detection

Traffic Pattern-Based Content Leakage Detection

2 MCA Student, Dept. o MCA, Narayana Engineering College, Nellore, A.P, India 3 Assistant Professor, Dept. of MCA, Narayana Engineering College, Nellore, A.P, India ABSTRACT: Due to the increasing popularity of multimedia streaming applications and services in recent years, the issue of trusted video delivery to prevent undesirable content-leakage has, become critical. While preserving user privacy, conventional systems have addressed this issue by proposing methods based on the observation of streamed traffic throughout the network. These conventional systems maintain a high detection accuracy while coping with some of the traffic variation in the network. By comparing videos of different lengths, we determine a relation between the length of videos to be compared and the similarity between the compared videos. Therefore, we enhance the detection performance of the proposed scheme even in an environment subjected to variation in length of video. Through a test bed experiment, the effectiveness of our proposed scheme is evaluated in terms of variation of video length, delay variation, and packet loss.
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Smart Gas Booking System & Leakage Detection

Smart Gas Booking System & Leakage Detection

(An ISO 3297: 2007 Certified Organization) Vol. 4, Issue 3, March 2016 II. R ELATED WORK Various methods for gas booking are there in current system. This system shows that there is more time required to deliver LPG after booking. There is no such facility of continuous gas level monitoring system. And also there is no provision for gas leakage detection and control action on gas leakage.We all are very busy in our daily life and it is difficult to know the status of LPG gas cylinder. If LPG is going to finish without informing us it can create very difficult condition for cooking etc. There is no facility for gas leakage detection and control action.
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Smart and Wireless Boiler Tube Leakage Detection

Smart and Wireless Boiler Tube Leakage Detection

Nowadays there are many methods available to detect these leakages. But all these methods are of complex. Hence we propose a novel system to detect and control boiler tube leakages. In our system a air quality sensor, temperature and humidity sensors are used to detect the leakages. When there is a variation in the set point of the above parameters, we can think of some leakages in the boiler tubes. A zigbee technology is used to transmit the sensor ’ s data to the remote center from where the power plant is monitored and controlled. This is all about detector unit. At the controller unit, two fans are used to control the leakage. One fan is used to cool when there is a temperature rise and the other is an exhaust fan which is used to remove the toxic gases from the boilers and stores it in a container which will be discarded safely.
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