A comprehensive handbook on state-of-the-art DAS technology and applications

Distributed Acoustic Sensing (DAS) is a technology that records sound and vibration signals along a fiber optic cable. Its advantages of high resolution, continuous, and real-time measurements mean that DAS systems have been rapidly adopted for a range of applications, including hazard mitigation, energy industries, geohydrology, environmental monitoring, and civil engineering.

Distributed Acoustic Sensing in Geophysics: Methods and Applications presents experiences from both industry and academia on using DAS in a range of geophysical applications.

Volume highlights include:

DAS concepts, principles, and measurements
Comprehensive review of the historical development of DAS and related technologies
DAS applications in hydrocarbon, geothermal, and mining industries
DAS applications in seismology
DAS applications in environmental and shallow geophysics

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Yingping Li, BlueSkyDas, USA

Martin Karrenbach, OptaSense Inc., USA

Jonathan B. Ajo-Franklin, Rice University, USA

Section I General

Chapter 01. Introduction to Geophysical Applications of Distributed Acoustic Sensing (DAS)
Yingping Li, Martin Karrenbach, Jonathan Ajo-Franklin

Section II DAS Concept, Principle, and Measurements

Chapter 02. High Definition Seismic and Microseismic Data Acquisition Using Distributed and Engineered Fiber Optic Acoustic Sensors
Mahmoud Farhadiroushan, Tom Parker, et al., Silixa Ltd.

Chapter 03. Distributed microstructure optical fiber (DMOF) based Ultra-high sensitive DAS for borehole seismic survey
Qizhen Sun, Z. Yan, and Gang Yu et al., Huazhong University of Science & Technology / BGP Inc

Chapter 04. Distributed acoustic sensing system based on phase-generated carrier algorithm
Tuanwei Xu, Institute of semiconductors, Chinese Academy of Science

Section III DAS Applications in Oil and Gas, Geothermal, and Mining industries

Chapter 05. The seismic imaging with DAS in an active room-and-pillar mine
Xiangfang Zeng/Herb Wang, Institute of Geodesy & Geophysics, CAS / University Wisconsin-Madison

Chapter 06. 3D Imaging from vertical DAS fiber at Brady's Natural Laboratory
Whitney TRAINOR-GUITTON, Antoine GUITTON et al., Colorado School of Mines

Chapter 07. Fiber-optic DAS and applications in petroleum industry
Yong Wang*, J. Ni, Y Shang et. al., Laser Research Institute, Qilu University of Technology

Chapter 08. Improving Point-Sensor Image Resolution with Distributed Acoustic Sensing at Brady's Enhanced Geothermal System
Samir F. JREIJ, Whitney J. TRAINOR-GUITTON, James L. SIMMONS, Colorado School of Mines

Chapter 09. DAS VSP to Characterize Host Rocks and Alteration of Porphyry Deposits
Gilles Bellefleur, Natural Resources Canada

Section IV DAS Applications in Microseismic Monitoring of Fracturing

Chapter 10. Integration of DAS and DTS Fiber-optic data with Microseismic monitoring, logs and MicroCT core scans to develop and integrated shale-gas reservoir model (May 2018)
Payam Kavousi, Timothy Carr, Haibin Di, West Virginia University/ Georgia Institute of Technology

Chapter 11. Coalescence Microseismic Mapping for DAS and Geophone Hybrid Array
Takashi Mizuno, Joel Le Calvez, Daniel Raymer, Schlumberger

Chapter 12. Integration of DAS microseismic monitoring, strain and DTS for hydraulic fracturing
Martin Karrenbach, Steve Cole, and D. Kahn, et al., OptaSense Ltd./Devon

Section V DAS applications for Earthquake Seismology and Monitoring Faulting Activity

Chapter 13. Opportunity and challenges of using telecommunication-fiber infrastructure for earthquake monitoring and analysis
Siyuan Yuan, Fantine Huot, Eileen Martin (Stanford now, Virgini Tech later), Bob, Clapp, Biondo Biondi

Chapter 14. Earthquake detection on existing infrastructure telecom fiber using DAS systems (Early-Warning-Systems)
Martin Karrenbach, Steve Cole et al., OptaSense Ltd.

Chapter 15. Utilization of “Dark” Fiber Networks for Seismic Monitoring
Jonathan Ajo-Franklin et al., LBNL

Chapter 16. Understanding DAS recording of all elastic wavefield modes
Eileen Martin (Stanford now, Virginia Tech later), Biondo Biondi, Jonathan Ajo-Franklin & Nate Lindsey

Chapter 17. Full wave field recording of the vertical strain at SAFOD from local, regional and teleseismic earthquakes
William Ellsworth et al. Stanford University / OptaSense, Inc.

Chapter 18. Earthquake Monitoring from DAS at Brady's Hot Springs, Fernley, Nevada
Dante Fratta, University of Wisconsin -- Madison

Section VI DAS Applications in Environmental and Shallow geophysics

Chapter 19. Introduction to DAS Applications in Environmental and Shallow Geophysics
Whitney Trainor-Guitton, and Thomas Coleman, Colorado School of Mines / Silixa LLC

Chapter 20. DAS Solutions for Near-Surface and Geotechnical Sensing Challenges
Jonathan Ajo-Franklin, Nate Lindsey, Shan Dou, et. al., LBNL

Chapter 21. 3D shear wave velocity structure revealed with ambient noise tomography on a DAS array
Xiangfang Zeng, C. Thurber et al., Univ. Wisconsin-Madison/Institute of Geodesy & Geophysics, CAS

Chapter 22. Time-lapse seismic monitoring using DAS
Freifeld, B. M. et al., LBNL

Chapter 23. Seismic Time-Lapse Imaging of a CO2 Injection at the Otway Project
Roman Pevzner, Curtin University

Chapter 24. Outlook on the Future of DAS for Environmental and Shallow Geophysics Applications
By Herb Wang, University of Wisconsin -- Madison

Section VII Processing methods for Big Data from DAS Applications

Chapter 25. Algorithms for reading and processing DAS data
By Payam Kavousi, Timothy Carr, Haibin Di, West Virginia University/ Georgia Institute of Technology

Chapter 26. MASW analysis of fiber optic DAS data along
By Steve Cole, et. al, OptaSense Ltd.

Chapter 27. The Study on improving SNR of DAS VSP Data
Yuanzhong Chen, Gang Yu, Yanpeng Li et. al., BGP CNPC

Chapter 28. Data reduction communications, practical schemes, compression, PRODML, HDF5 and streams
Zisk Boon, et. al., OptaSense Ltd.

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