Literatura científica selecionada sobre o tema "Distributed Acoustic Sensing (DAS)"
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Artigos de revistas sobre o assunto "Distributed Acoustic Sensing (DAS)"
Chambers, Derrick, Peiyao Li, Harpreet Sethi e Jeffery Shragge. "Monitoring industrial acoustics with distributed acoustic sensing". Journal of the Acoustical Society of America 151, n.º 4 (abril de 2022): A58. http://dx.doi.org/10.1121/10.0010648.
Texto completo da fonteShang, Ying, Maocheng Sun, Chen Wang, Jian Yang, Yuankai Du, Jichao Yi, Wenan Zhao, Yingying Wang, Yanjie Zhao e Jiasheng Ni. "Research Progress in Distributed Acoustic Sensing Techniques". Sensors 22, n.º 16 (13 de agosto de 2022): 6060. http://dx.doi.org/10.3390/s22166060.
Texto completo da fonteAbadi, Shima, William S. Wilcock e Brad P. Lipovsky. "Detecting hydro-acoustic signals using Distributed Acoustics Sensing technology". Journal of the Acoustical Society of America 152, n.º 4 (outubro de 2022): A201. http://dx.doi.org/10.1121/10.0016027.
Texto completo da fonteShen, Zhichao, Wenbo Wu e Ying-Tsong Lin. "High-resolution observations of shallow-water acoustic propagation with distributed acoustic sensing". Journal of the Acoustical Society of America 156, n.º 4 (1 de outubro de 2024): 2237–49. http://dx.doi.org/10.1121/10.0030400.
Texto completo da fonteEllmauthaler, Andreas, Brian C. Seabrook, Glenn A. Wilson, John Maida, Jeff Bush, Michel LeBlanc, James Dupree e Mauricio Uribe. "Distributed acoustic sensing of subsea wells". Leading Edge 39, n.º 11 (novembro de 2020): 801–7. http://dx.doi.org/10.1190/tle39110801.1.
Texto completo da fonteSchmidt, Henrik. "Distributed acoustic sensing in shallow water". Journal of the Acoustical Society of America 120, n.º 5 (novembro de 2006): 3297. http://dx.doi.org/10.1121/1.4778019.
Texto completo da fonteRosalie, Cedric, Nik Rajic, Patrick Norman e Claire Davis. "Acoustic Source Localisation Using Distributed Sensing". Procedia Engineering 188 (2017): 499–507. http://dx.doi.org/10.1016/j.proeng.2017.04.514.
Texto completo da fonteSchick, Yannik, Guilherme H. Weber, Marco Da Silva, Cicero Martelli e Mark W. Hlawitschka. "Flow monitoring in a bubble column reactor by Distributed Acoustic Sensing". tm - Technisches Messen 91, s1 (1 de agosto de 2024): 14–19. http://dx.doi.org/10.1515/teme-2024-0048.
Texto completo da fonteBecker, Matthew, Thomas Coleman, Christopher Ciervo, Matthew Cole e Michael Mondanos. "Fluid pressure sensing with fiber-optic distributed acoustic sensing". Leading Edge 36, n.º 12 (dezembro de 2017): 1018–23. http://dx.doi.org/10.1190/tle36121018.1.
Texto completo da fonteDouglass, Alexander S., John Ragland e Shima Abadi. "Overview of distributed acoustic sensing technology and recently acquired data sets". Journal of the Acoustical Society of America 153, n.º 3_supplement (1 de março de 2023): A64. http://dx.doi.org/10.1121/10.0018174.
Texto completo da fonteTeses / dissertações sobre o assunto "Distributed Acoustic Sensing (DAS)"
Hu, Di. "Fully Distributed Multi-parameter Sensors Based on Acoustic Fiber Bragg Gratings". Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/85112.
Texto completo da fontePh. D.
dos, Santos Maia Correa Julia. "Distributed Acoustic Sensing for Seismic Imaging and Reservoir Monitoring Applied to CO2 Geosequestration". Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/75668.
Texto completo da fonteMarcon, Leonardo. "Development of high performance distributed acoustic sensors based on Rayleigh backscattering". Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3423194.
Texto completo da fonteCiervo, Christopher M. "Establishing Hydraulic Connectivity in Bedrock by Measuring the Hydromechanical Response of Fractures with Distributed Acoustic Sensing (DAS)". Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10840951.
Texto completo da fonteFiber optic Distributed Acoustic Sensing (DAS) is based on the principles of Coherent Rayleigh Optical Time Domain Reflectometry, where light pulses are fired through an optical fiber, and photon backscatter is measured with an optical sensor. Strain in the fiber causes changes in the amplitude and phase of backscattered light. Using light’s two-way travel time, the optical sensor measures strain at distributed points along the length of fiber. In this work, DAS was adapted to establish hydraulic connectivity in bedrock by measuring hydromechanical strain in an observation well, as periodic well tests were conducted at mHz frequencies at an interrogation well ~30 m away. A lognormal relationship with a strong degree of interdependence was found between measured displacements and pressure amplitudes. This behavior is consistent with the semi-logarithmic closure law of fractured rock. The nanometer scale displacements reported here, however, suggest closure occurring as in-contact asperities deform, rather than opposing fracture surfaces coming into contact.
Wild, Graham. "Distributed optical fibre smart sensors for acoustic sensing in the structural health monitoring of robust aerospace vehicles". Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2010. https://ro.ecu.edu.au/theses/1873.
Texto completo da fonteWang, Yunjing. "Fiber-Optic Sensors for Fully-Distributed Physical, Chemical and Biological Measurement". Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/19222.
Texto completo da fonteThis dissertation presents a fully-distributed fiber-optic sensing technique based on a traveling long-period grating (T-LPG) in a single-mode fiber. The T-LPG is generated by pulsed acoustic waves that propagate along the fiber. When there are changes in the fiber surrounding medium or in the fiber surface coating, induced by various physical, chemical or biological stimuli, the optical transmission spectrum of the T-LPG may shift. Therefore, by measuring the T-LPG resonance wavelength at different locations along the fiber, distributed measurement can be realized for a number of parameters beyond temperature and strain.
Based on this platform, fully-distributed temperature measurement in a 2.5m fiber was demonstrated. Then by coating the fiber with functional coatings, fully-distributed biological and chemical sensing was also demonstrated. In the biological sensing experiment, immunoglobulin G (IgG) was immobilized onto the fiber surface, and the experimental results show that only specific antigen-antibody binding can introduce a measurable shift in the transmission optical spectrum of the T-LPG when it passes through the pretreated fiber segment. In the hydrogen sensing experiment, the fiber was coated with a platinum (Pt) catalyst layer, which is heated by the thermal energy released from Pt-assisted combustion of H2 and O2, and the resulted temperature change gives rise to a measurable T-LPG wavelength shift when the T-LPG passes through. Hydrogen concentration from 1% to 3.8% was detected in the experiment. This technique may also permit measurement of other quantities by changing the functional coating on the fiber; therefore it is expected to be capable of other fully-distributed sensing applications.
Ph. D.
Schilke, Sven. "Importance du couplage des capteurs distribués à fibre optique dans le cadre des VSP". Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEM042/document.
Texto completo da fonteDistributed Acoustic Sensing (DAS) is a new technology of seismic acquisition that relies on traditional fibre-optic cables to provide inline strain measurement. This acquisition system is largely used in vertical seismic profiling (VSP) surveys. Coupling is a key factor influencing data quality. While geophones and accelerometers are clamped to the borehole wall during VSP surveys, the fibre cable is either clamped and then cemented behind the casing, or attached with rigid clamps to the tubing, or loosely lowered into the borehole. The latter deployment strategy, also called wireline deployment, usually acquires the lowest level of signal but is regarded as the most cost-effective in particular for existing well installations. This PhD thesis addresses the problematic of coupling of DAS using wireline deployment. We develop numerical models that are used to analyse real data. The interpretation of these results allows us concluding that an immediate contact of the cable with the borehole wall with a computed contact force is required to provide good coupling conditions. Based on those findings, we propose solutions to further optimise DAS acquisitions. We numerically modify the contact force and the elastic properties of the DAS cable and show how these modifications can improve but also deteriorate data quality. Finally, we propose a coupling detection algorithm that is applied to real datasets and allows ensuring the acquisition of data with a high signal-to-noise ratio
Huynh, Camille. "Real-time seismic monitoring using DAS fiber-optic instrumentation and machine learning : towards autonomous classification of natural and anthropogenic events". Electronic Thesis or Diss., Strasbourg, 2025. http://www.theses.fr/2025STRAH001.
Texto completo da fonteIn recent years, alongside traditional seismometer-based approaches, a new technology based on the use of optical fibers has emerged for monitoring natural or anthropogenic acoustic events: Distributed Acoustic Sensing (DAS). This innovative technology enables the measurement of seismic vibrations at very high spatial resolution over distances ranging from tens of meters to several hundred kilometers. Although these data are larger and more complex to process than those from traditional seismometers, they offer promising perspectives, particularly for analyzing the wavefields generated by earthquakes, detecting landslides, monitoring various anthropogenic events (such as pedestrian movements, vehicle movements, or seismic signals from human activities), low-amplitude or highly localized events, and precisely locating the origin of these seismic events. The goal of this thesis is to develop and test automated data analysis chains using AI-based approaches to detect, classify and analyze near-real-time fiber-optics DAS data. The objective is focused on local and regional monitoring of specific areas to enable the real-time detection and identification of natural events such as earthquakes and landslides
Schilke, Sven. "Importance du couplage des capteurs distribués à fibre optique dans le cadre des VSP". Electronic Thesis or Diss., Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEM042.
Texto completo da fonteDistributed Acoustic Sensing (DAS) is a new technology of seismic acquisition that relies on traditional fibre-optic cables to provide inline strain measurement. This acquisition system is largely used in vertical seismic profiling (VSP) surveys. Coupling is a key factor influencing data quality. While geophones and accelerometers are clamped to the borehole wall during VSP surveys, the fibre cable is either clamped and then cemented behind the casing, or attached with rigid clamps to the tubing, or loosely lowered into the borehole. The latter deployment strategy, also called wireline deployment, usually acquires the lowest level of signal but is regarded as the most cost-effective in particular for existing well installations. This PhD thesis addresses the problematic of coupling of DAS using wireline deployment. We develop numerical models that are used to analyse real data. The interpretation of these results allows us concluding that an immediate contact of the cable with the borehole wall with a computed contact force is required to provide good coupling conditions. Based on those findings, we propose solutions to further optimise DAS acquisitions. We numerically modify the contact force and the elastic properties of the DAS cable and show how these modifications can improve but also deteriorate data quality. Finally, we propose a coupling detection algorithm that is applied to real datasets and allows ensuring the acquisition of data with a high signal-to-noise ratio
Becerril, Carlos Ernesto. "Développement de la mesure acoustique distribuée (DAS) à basse fréquence pour la détection des tsunamis". Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5078.
Texto completo da fonteTo date, an effective Tsunami Early-Warning System (TEWS) at a global scale is not yet in place. This reflects a proverbial challenge in geosciences: To instrument the world's ocean floors and conduct long-term observations with sufficient spatial and temporal coverage. A paradigm in the form of a novel photonic technology has been proposed for truly multi-scale monitoring, whilst keeping costs relatively low. Distributed Acoustic Sensing (DAS) uses optical fibers themselves to measure the spatial distribution of environmental properties along every point of the optic fiber. By leveraging the more than one million kilometers of optical fiber laid across the continents and oceans, the scientific community stands to gain permanent, global monitoring network of densely-spaced, highly sensitive single-component sensors, capable of providing continuous real-time data. Although it's been shown that DAS is capable of recording long-period oceanographic phenomena such as tides and gravity waves waves, and empirical observations of sensitivity to seafloor pressure variations; the pressure detection mechanism in DAS remains to be quantitatively described.Within this context, this thesis aims to provide a proof-of-concept of a specific DAS architecture (phase-sensitive detection employing chirped laser pulses) suitable for TEWS applications. Towards this objective, this work assessed the sensitivity required, and considers DAS instrument performance to ascertain detection of tsunami waves. A derived model of the expected seafloor strains potentially induced by tsunami waves is presented and finds seafloor compliance and the Poisson effect on the cable as the primary mechanisms through which DAS is anticipated to record the passage of tsunami waves. The analysis of the derived model is supported by fully coupled 3-D physics-based simulations of earthquake rupture, seismo-acoustic waves and tsunami wave propagation. Furthermore, as most instrumentation, the sensitivity at low frequencies is primarily hindered by 1/f instrument noise. This work identifies several enhancements in the opto-electronic hardware towards reducing instrument noise, and increase of sensitivity to low-frequency signals relevant to tsunami signals, specifically in the 1-10 mHz regime. The theoretical analysis and numerical simulations presented in this work point to the real possibility of detecting tsunami waves using fiber optic cables
Livros sobre o assunto "Distributed Acoustic Sensing (DAS)"
Singal, S. P., ed. Acoustic Remote Sensing Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0009557.
Texto completo da fonteBradley, Stuart. Atmospheric acoustic remote sensing. Boca Raton: CRC Press, 2008.
Encontre o texto completo da fonteP, Singal S., ed. Acoustic remote sensing applications. Berlin: Springer-Verlag, 1997.
Encontre o texto completo da fonteElhoseny, Mohamed, Xiaohui Yuan e Salah-ddine Krit, eds. Distributed Sensing and Intelligent Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-64258-7.
Texto completo da fonteColuccia, Giulio, Chiara Ravazzi e Enrico Magli. Compressed Sensing for Distributed Systems. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-390-3.
Texto completo da fonteMazzeo, Pier Luigi, Paolo Spagnolo e Thomas B. Moeslund, eds. Activity Monitoring by Multiple Distributed Sensing. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13323-2.
Texto completo da fonte1947-, Dakin John, ed. The Distributed fibre optic sensing handbook. Kempston, Bedford, UK: IFS Publications, 1990.
Encontre o texto completo da fonteGao, Fei. Multi-wave Electromagnetic-Acoustic Sensing and Imaging. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3716-0.
Texto completo da fonteSniatala, Pawel, M. Hadi Amini e Kianoosh G. Boroojeni. Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33132-0.
Texto completo da fonteUnited States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Distributed acoustic receptivity in laminar flow control configurations. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Distributed Acoustic Sensing (DAS)"
Li, Zhiheng. "Exploiting CNN-BiLSTM Model for Distributed Acoustic Sensing Event Recognition". In Advances in Intelligent Systems Research, 333–41. Dordrecht: Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-512-6_36.
Texto completo da fonteKosuke, Nakashima, Fujioka Kazuyori, Ueno Shinya, Yamazaki Mitsuru, Yashima Atsushi, Murata Yoshinobu e Sawada Kazuhide. "Structural Health Monitoring of Expressway Embankment Using Distributed Acoustic Sensing (DAS)". In Environmental Science and Engineering, 161–71. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9203-4_11.
Texto completo da fonteMa, G., W. Qin, C. Shi, H. Zhou, Y. Li e C. Li. "Electrical Discharge Localization for Gas Insulated Line Based on Distributed Acoustic Sensing". In Lecture Notes in Electrical Engineering, 606–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31676-1_57.
Texto completo da fonteShahabudin, Mohd Safuwan Bin, Nor Farisha Binti Muhamad Krishnan e Farahida Hanim Binti Mausor. "Spiking Neural Network for Microseismic Events Detection Using Distributed Acoustic Sensing Data". In Lecture Notes in Networks and Systems, 317–26. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66965-1_31.
Texto completo da fonteChandran, Satishvaran Ragu, Hisham Mohamad, Muhammad Yusoff Mohd Nasir, Muhammad Farid Ghazali, Muhammad Aizzuddin Abdullah e Vorathin Epin. "A Comparative Study of Seismic Characteristics Between Distributed Acoustic Sensing (DAS) and Geophones". In Advances in Civil Engineering Materials, 771–83. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0751-5_66.
Texto completo da fonteJensen, Andrew L., William A. Redford, Nimran P. Shergill, Luke B. Beardslee e Carly M. Donahue. "Identification of Bird Species in Large Multi-channel Data Streams Using Distributed Acoustic Sensing". In Conference Proceedings of the Society for Experimental Mechanics Series, 97–107. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68142-4_13.
Texto completo da fonteZhang, Cheng-Cheng, e Bin Shi. "Evaluating Dark Fiber Distributed Acoustic and Strain Sensing for Shallow Ground Movement Monitoring: A Field Trial". In Environmental Science and Engineering, 665–73. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9061-0_47.
Texto completo da fonteVantassel, Joseph P., Brady R. Cox, Peter G. Hubbard, Michael Yust, Farnyuh Menq, Kyle Spikes e Dante Fratta. "Effectiveness of Distributed Acoustic Sensing for Acquiring Surface Wave Dispersion Data Using Multichannel Analysis of Surface Waves". In Proceedings of the 4th International Conference on Performance Based Design in Earthquake Geotechnical Engineering (Beijing 2022), 1000–1008. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11898-2_77.
Texto completo da fonteAimar, Mauro, Brady R. Cox e Sebastiano Foti. "Surface Wave Testing with Distributed Acoustic Sensing Measurements to Estimate the Shear-Wave Velocity and the Small-Strain Damping Ratio". In Springer Series in Geomechanics and Geoengineering, 145–52. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34761-0_18.
Texto completo da fonteWang, Zheng, Tao Xie, Cheng-Cheng Zhang e Bin Shi. "Assessing the Impact of Borehole Coupling Materials on Shallow Downhole Fiber-Optic Distributed Acoustic Sensing (FO-DAS) Using Laboratory Simulations". In Environmental Science and Engineering, 51–60. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9069-6_4.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Distributed Acoustic Sensing (DAS)"
Badillo, Diego, e Marcelo A. Soto. "Acoustic Source Localisation Based on Distributed Acoustic Sensing and Sequential Least Squares Programming". In Optical Sensors, SF4C.4. Washington, D.C.: Optica Publishing Group, 2024. https://doi.org/10.1364/sensors.2024.sf4c.4.
Texto completo da fonteLu, Ping. "High Performance Distributed Acoustic Sensing Enabled by Continuously Enhanced Backscattering Fiber". In Bragg Gratings, Photosensitivity, and Poling in Glass Waveguides, BW2A.1. Washington, D.C.: Optica Publishing Group, 2024. https://doi.org/10.1364/bgpp.2024.bw2a.1.
Texto completo da fonteNing, Ivan Lim Chen, e Paul Sava. "Multicomponent distributed acoustic sensing". In SEG Technical Program Expanded Abstracts 2016. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/segam2016-13952981.1.
Texto completo da fonteCrickmore, R. I., C. Minto, A. Godfrey e R. Ellwood. "Quantitative Underwater Acoustic Measurements Using Distributed Acoustic Sensing". In Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.w4.15.
Texto completo da fonteParker, Tom R., Arran Gillies, Sergey V. Shatalin e Mahmoud Farhadiroushan. "The intelligent distributed acoustic sensing". In OFS2014 23rd International Conference on Optical Fiber Sensors, editado por José M. López-Higuera, Julian D. C. Jones, Manuel López-Amo e José L. Santos. SPIE, 2014. http://dx.doi.org/10.1117/12.2064889.
Texto completo da fonteKirkendall, Clay. "Distributed Acoustic and Seismic Sensing". In OFC/NFOEC 2007 - 2007 Conference on Optical Fiber Communication and the National Fiber Optic Engineers Conference. IEEE, 2007. http://dx.doi.org/10.1109/ofc.2007.4348619.
Texto completo da fonteGonzalez-Herraez, Miguel, Maria R. Fernandez-Ruiz, Regina Magalhaes, Luis Costa, Hugo F. Martins, Carlos Becerril, Sonia Martin-Lopez et al. "Distributed Acoustic Sensing in Seismology". In Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.th2.1.
Texto completo da fonteGonzalez-Herraez, Miguel, Maria R. Fernandez-Ruiz, Regina Magalhaes, Luis Costa, Hugo F. Martins, Andrés Garcia-Ruiz, Sonia Martin-Lopez, Ethan Williams, Zhongwen Zhan e Roel Vantilho. "Distributed acoustic sensing in seismology". In Optical Fiber Sensors. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/ofs.2020.th2.1.
Texto completo da fonteJin, Zhicheng, Jiageng Chen, Yanming Chang, Qingwen Liu e Zuyuan He. "Silicon Photonic Distributed Acoustic Sensing Interrogator". In Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ofs.2023.th5.5.
Texto completo da fonteClarke, A., D. Miller, T. Parker e J. Greer. "Advanced Applications of Distributed Acoustic Sensing". In EAGE/DGG Workshop 2017. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201700151.
Texto completo da fonteRelatórios de organizações sobre o assunto "Distributed Acoustic Sensing (DAS)"
Baker, Michael, Robert Abbott e William O'Rourke. The Cryosphere/Ocean Distributed Acoustic Sensing (CODAS) Experiment. Office of Scientific and Technical Information (OSTI), setembro de 2023. http://dx.doi.org/10.2172/2430275.
Texto completo da fonteQuinn, Meghan. Geotechnical effects on fiber optic distributed acoustic sensing performance. Engineer Research and Development Center (U.S.), julho de 2021. http://dx.doi.org/10.21079/11681/41325.
Texto completo da fonteViens, Loic. Distributed Acoustic Sensing as a Monitoring Tool at LANL. Office of Scientific and Technical Information (OSTI), outubro de 2023. http://dx.doi.org/10.2172/2203386.
Texto completo da fonteSiebenaler, Shane. PR-015-163766-R01 Field Testing of Distributed Acoustic Sensing Systems. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), julho de 2018. http://dx.doi.org/10.55274/r0011503.
Texto completo da fonteBecker, Matthew. Phase I Project: Fiber Optic Distributed Acoustic Sensing for Periodic Hydraulic Tests. Office of Scientific and Technical Information (OSTI), dezembro de 2017. http://dx.doi.org/10.2172/1430694.
Texto completo da fontePorritt, Robert, Robert Abbott e Christian Poppeliers. Quantitative assessment of Distributed Acoustic Sensing at the Source Physics Experiment, Phase II. Office of Scientific and Technical Information (OSTI), novembro de 2021. http://dx.doi.org/10.2172/1833177.
Texto completo da fontePorritt, Robert, Robert Abbott e Christian Poppeliers. Quantitative assessment of Distributed Acoustic Sensing at the Source Physics Experiment, Phase II. Office of Scientific and Technical Information (OSTI), janeiro de 2022. http://dx.doi.org/10.2172/1855336.
Texto completo da fonteViens, Loic. Probing the Solid Earth and the Hydrosphere with Ocean-Bottom Distributed Acoustic Sensing. Office of Scientific and Technical Information (OSTI), novembro de 2023. http://dx.doi.org/10.2172/2205032.
Texto completo da fonteBruno, Michael S., Kang Lao, Nicky Oliver e Matthew Becker. Use of Fiber Optic Distributed Acoustic Sensing for Measuring Hydraulic Connectivity for Geothermal Applications. Office of Scientific and Technical Information (OSTI), abril de 2018. http://dx.doi.org/10.2172/1434494.
Texto completo da fonteIchinose, G., e R. Mellors. Seismic Array Analysis Using Fiber-Optic Distributed Acoustic Sensing on Small Local and Regional Earthquakes. Office of Scientific and Technical Information (OSTI), agosto de 2021. http://dx.doi.org/10.2172/1818399.
Texto completo da fonte