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News Article | May 12, 2017
Site: www.PR.com

The global distributed acoustic sensing (DAS) market is projected to reach US$ 460.8 Mn in 2017, up from US$ 404.3 Mn in 2016. Persistence Market Research, in its new research, projects the market to grow at 20.2% CAGR and surpass US$ 2 Bn in revenues by 2025. New York, NY, May 12, 2017 --( The key factors driving the global acoustic sensing market include, Increasing global energy demand: According to International Energy Agency, global energy demand will increase by 50% by 2030-end. Distributed acoustic sensing has emerged as a feasible cost-effective method to optimize energy production and transfer., Distributed acoustic sensors are capable of withstanding harsh environment and temperature conditions, owing to which their adoption is steadily gaining traction, especially in the petroleum sector., Increasing adoption of distributed acoustic sensing in the railways sector is contributing to the growth of the market. Distributed acoustic sensors are being used to protect track-side assets, including location cabinets and Relocatable Equipment Buildings (REB). The key trends impacting the distributed acoustic sensing market include, growing adoption of distributed acoustic sensing in non- oil and gas verticals. Owing to various developments and improvisations, digital acoustic sensing is being increasingly deployed in perimeter intrusion detection. Storage of information collected through distributed acoustic sensing remains a key challenge. It is estimated that during a typical hydraulic fracturing monitoring operation, a DAS system can generate data up to 5 TB per day. Storing such large volumes of data has been a longstanding challenge for companies, with most vendors using a patchwork of software solutions to extract data from DAS. By application, Persistence Market Research has segmented the distributed acoustic sensing market into oilfield services, pipeline management, security & surveillance, and transport services. Oilfield services accounted for the largest revenue share of the market; by 2025, this segmented is projected to reach 63.3% in revenues. In terms of revenues, this segment is projected to reach a market value of over US$ 1.26 billion. Unsurprisingly, Middle East & Africa (MEA) is the largest market for distributed acoustic sensors. The region is expected to account for a revenue share of 38.1% in 2017. North America is the second largest market for distributed acoustic sensors globally. In North America, the U.S. continues to dominate the demand for distributed acoustic sensors, with nearly 75% revenue share of the market. Leading companies profiled by Persistence Market Research in its report are Halliburton Co., Schlumberger Limited, Optasense, Baker Hughes Incorporated, Future Fibre Technologies, Fotech Solutions Ltd., Silixa Ltd., Bandweaver, Omnisens SA, and Hifi Engineering Inc. Browse Complete Report @ http://www.persistencemarketresearch.com/market-research/distributed-acoustic-sensing-market.asp New York, NY, May 12, 2017 --( PR.com )-- Although PMR maintains a positive outlook on the global distributed acoustic sensing market, few challenges can impede the growth of the market. Depreciating oil prices and large volume of data generated by distributed acoustic sensing are currently the key impediments to growth.The key factors driving the global acoustic sensing market include,Increasing global energy demand: According to International Energy Agency, global energy demand will increase by 50% by 2030-end. Distributed acoustic sensing has emerged as a feasible cost-effective method to optimize energy production and transfer., Distributed acoustic sensors are capable of withstanding harsh environment and temperature conditions, owing to which their adoption is steadily gaining traction, especially in the petroleum sector., Increasing adoption of distributed acoustic sensing in the railways sector is contributing to the growth of the market. Distributed acoustic sensors are being used to protect track-side assets, including location cabinets and Relocatable Equipment Buildings (REB).The key trends impacting the distributed acoustic sensing market include,growing adoption of distributed acoustic sensing in non- oil and gas verticals. Owing to various developments and improvisations, digital acoustic sensing is being increasingly deployed in perimeter intrusion detection. Storage of information collected through distributed acoustic sensing remains a key challenge. It is estimated that during a typical hydraulic fracturing monitoring operation, a DAS system can generate data up to 5 TB per day. Storing such large volumes of data has been a longstanding challenge for companies, with most vendors using a patchwork of software solutions to extract data from DAS.By application, Persistence Market Research has segmented the distributed acoustic sensing market into oilfield services, pipeline management, security & surveillance, and transport services. Oilfield services accounted for the largest revenue share of the market; by 2025, this segmented is projected to reach 63.3% in revenues. In terms of revenues, this segment is projected to reach a market value of over US$ 1.26 billion.Unsurprisingly, Middle East & Africa (MEA) is the largest market for distributed acoustic sensors. The region is expected to account for a revenue share of 38.1% in 2017. North America is the second largest market for distributed acoustic sensors globally. In North America, the U.S. continues to dominate the demand for distributed acoustic sensors, with nearly 75% revenue share of the market.Leading companies profiled by Persistence Market Research in its report are Halliburton Co., Schlumberger Limited, Optasense, Baker Hughes Incorporated, Future Fibre Technologies, Fotech Solutions Ltd., Silixa Ltd., Bandweaver, Omnisens SA, and Hifi Engineering Inc.Browse Complete Report @ http://www.persistencemarketresearch.com/market-research/distributed-acoustic-sensing-market.asp Click here to view the list of recent Press Releases from Persistence Market Research


Although PMR maintains a positive outlook on the global distributed acoustic sensing market, few challenges can impede the growth of the market. Depreciating oil prices and large volume of data generated by distributed acoustic sensing are currently the key impediments to growth. By application, Persistence Market Research has segmented the distributed acoustic sensing market into oilfield services, pipeline management, security & surveillance, and transport services. Oilfield services accounted for the largest revenue share of the market; by 2025, this segmented is projected to reach 63.3% in revenues. In terms of revenues, this segment is projected to reach a market value of over US$ 1.26 billion. A sample of this report is available upon request @ http://www.persistencemarketresearch.com/samples/12673 Unsurprisingly, Middle East & Africa (MEA) is the largest market for distributed acoustic sensors. The region is expected to account for a revenue share of 38.1% in 2017. North America is the second largest market for distributed acoustic sensors globally. In North America, the U.S. continues to dominate the demand for distributed acoustic sensors, with nearly 75% revenue share of the market. Leading companies profiled by Persistence Market Research in its report are Halliburton Co., Schlumberger Limited, Optasense, Baker Hughes Incorporated, Future Fibre Technologies, Fotech Solutions Ltd., Silixa Ltd., Bandweaver, Omnisens SA, and Hifi Engineering Inc. DNA & RNA Sample Preparation Market Report 2017-2025 is available for $4900 (Single User License) @ http://www.persistencemarketresearch.com/checkout/12673 Persistence Market Research (PMR) is a third-platform research firm. Our research model is a unique collaboration of data analytics and market research methodology to help businesses achieve optimal performance. To support companies in overcoming complex business challenges, we follow a multi-disciplinary approach. At PMR, we unite various data streams from multi-dimensional sources. By deploying real-time data collection, big data, and customer experience analytics, we deliver business intelligence for organizations of all sizes.


Although PMR maintains a positive outlook on the global distributed acoustic sensing market, few challenges can impede the growth of the market. Depreciating oil prices and large volume of data generated by distributed acoustic sensing are currently the key impediments to growth. By application, Persistence Market Research has segmented the distributed acoustic sensing market into oilfield services, pipeline management, security & surveillance, and transport services. Oilfield services accounted for the largest revenue share of the market; by 2025, this segmented is projected to reach 63.3% in revenues. In terms of revenues, this segment is projected to reach a market value of over US$ 1.26 billion. A sample of this report is available upon request @ http://www.persistencemarketresearch.com/samples/12673 Unsurprisingly, Middle East & Africa (MEA) is the largest market for distributed acoustic sensors. The region is expected to account for a revenue share of 38.1% in 2017. North America is the second largest market for distributed acoustic sensors globally. In North America, the U.S. continues to dominate the demand for distributed acoustic sensors, with nearly 75% revenue share of the market. Leading companies profiled by Persistence Market Research in its report are Halliburton Co., Schlumberger Limited, Optasense, Baker Hughes Incorporated, Future Fibre Technologies, Fotech Solutions Ltd., Silixa Ltd., Bandweaver, Omnisens SA, and Hifi Engineering Inc. DNA & RNA Sample Preparation Market Report 2017-2025 is available for $4900 (Single User License) @ http://www.persistencemarketresearch.com/checkout/12673 Persistence Market Research (PMR) is a third-platform research firm. Our research model is a unique collaboration of data analytics and market research methodology to help businesses achieve optimal performance. To support companies in overcoming complex business challenges, we follow a multi-disciplinary approach. At PMR, we unite various data streams from multi-dimensional sources. By deploying real-time data collection, big data, and customer experience analytics, we deliver business intelligence for organizations of all sizes.


Al-Qahtani F.S.,RMIT University | Gurung A.K.,RMIT University | Zummo S.A.,King Fahd University of Petroleum and Minerals | Mahmoud S.S.,Future Fibre Technologies Pty Ltd. | Hussain Z.M.,RMIT University
Wireless Personal Communications | Year: 2011

In this paper we derive closed-form expressions for the single-user adaptive capacity of generalized selection combining (GSC) system, taking into account the effect of imperfect channel estimation at the receiver. The channel considered is a slowly varying spatially independent flat Rayleigh fading channel. The complex channel estimate and the actual channel are modelled as jointly Gaussian random variables with a correlation that depends on the estimation quality. Three adaptive transmission schemes are analyzed: (1) optimal power and rate adaptation; and (2) constant power with optimal rate adaptation, and (3) channel inversion with fixed rate. In addition to deriving an exact expression for the capacity of the aforementioned adaptive schemes, we analyze the impact of channel estimation error on the capacity statistics and the symbol error rate for GSC systems. The capacity statistics derived in this paper are the moment generating function, complementary cumulative distribution function and probability density function for arbitrary number of receive antennas. Moreover, exact closed-form expressions for M-PAM/PSK/QAM employing GSC are derived. As expected, the channel estimation error has a significant impact on the system performance. © 2009 Springer Science+Business Media, LLC.


Koziol B.G.,Victoria University of Melbourne | Koziol B.G.,Future Fibre Technologies Pty Ltd | Baxter G.W.,Victoria University of Melbourne | Collins S.F.,Victoria University of Melbourne
Journal of Optics A: Pure and Applied Optics | Year: 2010

Measurements of the temperature and strain responses of fluorescence lifetimes for two transitions in praseodymium-doped silica optical fibres are presented. These properties were found to be similar to those measured for other rare-earth-doped fibres, except for the strain response. In particular, the fluorescence lifetime of the, 3H6 transition (centred on 870nm) exhibited a slight decrease with applied strain, rather than an increase. This has implications for our understanding of how strain in rare-earth-doped optical fibres affects fluorescence properties. © 2010 IOP Publishing Ltd.


Mahmoud S.S.,Future Fibre Technologies Pty Ltd. | Katsifolis J.,Future Fibre Technologies Pty Ltd.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2010

Discriminating between intrusion and nuisance events without compromising sensitivity is a key performance parameter for any outdoor perimeter intrusion detection system. This is especially the case for intrusion and nuisance events which may have a similar impact on a perimeter fence. In this paper, a robust event classification system using features based on level crossings is presented for the detection and recognition of intrusion and non-intrusion events in an outdoor fence-mounted intrusion detection system for a range of operating environments and fence styles. The proposed classification system is applied to a distributed fiber-optic Mach Zehnder (MZ) mounted on a perimeter fence. It consists of a pre-processing stage employing high resolution time-frequency distribution, a novel event detection and feature extraction scheme based on level crossings, and a classification algorithm using a supervised neural network. Experimental results are presented showing accurate classification of different intrusion and non-intrusion events such as fence-climbing, fence-cutting, stone-throwing and stick-dragging. These results demonstrate the robustness of the proposed algorithm for various types of fence fabric and operating environments. © 2010 SPIE.


Mahmoud S.S.,Future Fibre Technologies Pty. Ltd. | Katsifolis J.,Future Fibre Technologies Pty. Ltd.
Proceedings - International Carnahan Conference on Security Technology | Year: 2010

The success of any perimeter intrusion detection system depends on three important performance parameters: the probability of detection (POD), the nuisance alarm rate (NAR), and the false alarm rate (FAR). The most fundamental parameter, POD, is normally related to a number of factors such as the event of interest, the sensitivity of the sensor, the installation quality of the system and the reliability of the sensing equipment. A critical performance parameter of any outdoor perimeter intrusion detection system is its capability of discriminating between intrusion and nuisance events without compromising its sensitivity or POD. In this paper, the performance criteria of a real-time fence-mounted distributed fiber-optic intrusion detection system are discussed. The use of event recognition and classification techniques to maintain high detection rates and minimize alarms caused by nuisance events is presented with a performance analysis for different event classification algorithms. Practical results for the detection of intrusion events and suppression of nuisances are also shown. ©2010 Crown.


Mahmoud S.S.,Future Fibre Technologies Pty Ltd. | Visagathilagar Y.,Future Fibre Technologies Pty Ltd. | Katsifolis J.,Future Fibre Technologies Pty Ltd.
Photonic Sensors | Year: 2012

The success of any perimeter intrusion detection system depends on three important performance parameters: the probability of detection (POD), the nuisance alarm rate (NAR), and the false alarm rate (FAR). The most fundamental parameter, POD, is normally related to a number of factors such as the event of interest, the sensitivity of the sensor, the installation quality of the system, and the reliability of the sensing equipment. The suppression of nuisance alarms without degrading sensitivity in fiber optic intrusion detection systems is key to maintaining acceptable performance. Signal processing algorithms that maintain the POD and eliminate nuisance alarms are crucial for achieving this. In this paper, a robust event classification system using supervised neural networks together with a level crossings (LCs) based feature extraction algorithm is presented for the detection and recognition of intrusion and non-intrusion events in a fence-based fiber-optic intrusion detection system. A level crossings algorithm is also used with a dynamic threshold to suppress torrential rain-induced nuisance alarms in a fence system. Results show that rain-induced nuisance alarms can be suppressed for rainfall rates in excess of 100 mm/hr with the simultaneous detection of intrusion events. The use of a level crossing based detection and novel classification algorithm is also presented for a buried pipeline fiber optic intrusion detection system for the suppression of nuisance events and discrimination of intrusion events. The sensor employed for both types of systems is a distributed bidirectional fiber-optic Mach-Zehnder (MZ) interferometer. © The Author(s) 2012.


Mahmoud S.S.,Future Fibre Technologies Pty Ltd. | Visagathilagar Y.,Future Fibre Technologies Pty Ltd. | Katsifolis J.,Future Fibre Technologies Pty Ltd.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2012

The suppression of nuisance alarms without degrading sensitivity in fibre-optic intrusion detection systems is important for maintaining acceptable performance. Signal processing algorithms that maintain the POD and minimize nuisance alarms are crucial for achieving this. A level crossings algorithm is presented for suppressing torrential rain-induced nuisance alarms in a fibre-optic fence-based perimeter intrusion detection system. Results show that rain-induced nuisance alarms can be suppressed for rainfall rates in excess of 100 mm/hr, and intrusion events can be detected simultaneously during rain periods. The use of a level crossing based detection and novel classification algorithm is also presented demonstrating the suppression of nuisance events and discrimination of nuisance and intrusion events in a buried pipeline fibre-optic intrusion detection system. The sensor employed for both types of systems is a distributed bidirectional fibre-optic Mach Zehnder interferometer. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).


Patent
Future Fibre Technologies Pty Ltd | Date: 2010-10-13

A modalmetric fibre sensor comprises a multimode sensor fibre (26) and a light source (14) for launching light into the sensor fibre to produce a multimode speckle pattern at an end of the sensor fibre. A single mode fibre (22) receives light from the multimode speckle pattern for transmission to a detector (18). A further multimode fibre (41) is disposed between the sensor fibre (26) and the single mode fibre (22) so that the single mode fibre (22) receives light from the speckle pattern by transmission through the further multimode fibre (41) and the received light includes higher order modes regenerated in the further multimode fibre (41). The light source may be connected to the single mode fibre (22) so as to launch light through the single mode fibre into the multimode sensor fibre (26) via the further multimode fibre (41) and the remote end (28) of the sensor fibre (26) may be mirrored to reflect light back through the sensor fibre to produce the speckle pattern.

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