Amplitude-frequency response of a helically-wound fiber distributed acoustic sensor (DAS)
https://doi.org/10.17073/2500-0632-2022-06-10
Abstract
The goals of this study were to analyze the capabilities of DAS (distributed sensors) in resolving mining problems, compare them with existing seismoacoustic data collection systems, and prepare the basis for conducting seismoacoustic studies with recording by a fiber optic distributed system. This paper considers the capabilities of recording seismoacoustic responses using fiber optic distributed acoustic systems (DAS). Based on physical and geometrical analysis, the amplitude-frequency responses (characteristics) of recorded longitudinal waves for straight and helically-wound fibers were obtained. In the case of helically-wound fiber, the frequency response depends on several key factors: integrating the measured value along the fiber based on the measurement; the angle of incidence on the cable; and the winding angle of the fiber in the cable. An increase in the winding angle increases the uniformity of the amplitude-frequency characteristics of longitudinal waves both in terms of frequencies and angles of incidence. At the same time, helical winding changes the effective response spacing (gauge length). This makes it possible, by summing the responses of the straight and helically-wound fibers due to the overlap of the spectra, to record frequencies that are suppressed in case of separate recording. Based on the study results, a cable design was proposed to record broadband seismoacoustic responses enabling a wide range of mining and engineering problems to be resolved, and for seismic surveys both in wells and on the surface to be carried out.
Keywords
About the Authors
A. V. ChugaevRussian Federation
Alexander V. Chugaev – Cand. Sci. (Eng.), Head of the Sector of Shallow Well Research of the Department of Active Seismic Acoustics.
Perm; Scopus ID 6602559950
M. V. Tarantin
Russian Federation
Mikhail V. Tarantin – Cand. Sci. (Eng.), Researcher, Department of Active Seismic Acoustics; Mining.
Perm; Scopus ID 36601605800
References
1. Mateeva A., Mestayer J., Cox B. et al. Advances in distributed acoustic sensing (DAS) for VSP. In: SEG Technical Program Expanded Abstracts 2012. Society of Exploration Geophysicists; 2012. https://doi.org/10.1190/segam2012-0739.1
2. Parker T., Shatalin S., Farhadiroushan M. Distributed Acoustic Sensing – a new tool for seismic applications. First Break. 2014;32(2):61–69. https://doi.org/10.3997/1365-2397.2013034
3. Wu X., Willis M. E., Palacios W. et al. Compressionaland shear-wave studies of distributed acoustic sensing acquired vertical seismic profile data. The Leading Edge. 2017;36(12):987–993. https://doi.org/org/10.1190/tle36120987.1
4. Hartog A., Kotov O. I., Liokumovich L. B. The optics of distributed vibration sensing. In: Second EAGE Workshop on Permanent Reservoir Monitoring 2013 – Current and Future Trends. Netherlands: EAGE Publications BV; 2013. https://doi.org/10.3997/2214-4609.20131301
5. Shatalin S.V., Treschikov V.N., Rogers A. J. Interferometric optical time-domain reflectometry for distributed optical-fiber sensing. Applied Optics. 1998;37(24):5600–5604. https://doi.org/10.1364/AO.37.005600
6. Dean T., Papp B., Hartog A. Wavenumber response of data recorded using distributed fibre-optic systems. In: 3rd EAGE Workshop on Borehole Geophysics. Netherlands: EAGE Publications BV; 2015. https://doi.org/10.3997/2214-4609.201412215
7. Dean T., Cuny T., Hartog A. H. The effect of gauge length on axially incident P-waves measured using fibre optic distributed vibration sensing: Gauge length effect on incident P-waves. Geophysical Prospecting. 2017;65(1):184–193. https://doi.org/10.1111/1365-2478.12419
8. Bona A., Dean T., Correa J. et al. Amplitude and phase response of DAS receivers. In: 79th EAGE Conference and Exhibition 2017. Netherlands: EAGE Publications BV; 2017. https://doi.org/10.3997/2214-4609.201701200
9. Stork A. L., Baird A. F., Horne S.A. et al. Application of machine learning to microseismic event detection in distributed acoustic sensing data. Geophysics. 2020;85(5):KS149–KS160. https://doi.org/10.1190/geo2019-0774.1
10. Näsholm S. P., Iranpour K., Wuestefeld A. et al. Array signal processing on distributed acoustic sensing data: Directivity effects in slowness space. Journal of Geophysical Research: Solid Earth. 2022;127(2). https://doi.org/10.1029/2021JB023587
11. Willis M. E., Barfoot D., Ellmauthaler A., Wu X. et al. Quantitative quality of distributed acoustic sensing vertical seismic profile data. The Leading Edge. 2016;35(7):605–609. https://doi.org/10.1190/tle35070605.1
12. Sudakova M. S., Belov M.V., Ponimaskin A. O. et al. Features of processing vertical seismic profiling data of offshore shallow wells with fiber-optic distributed systems. Journal of Geophysics. 2021;(6):110–118. (In Russ.)
13. Riedel M., Cosma C., Enescu N. et al. Underground Vertical Seismic Profiling with conventional and fiber-optic systems for exploration in the Kylylahti polymetallic mine, eastern Finland. Minerals (Basel). 2018;8(11):538. https://doi.org/10.3390/min8110538
14. Bellefleur G., Schetselaar E., Wade D. et al. Vertical seismic profiling using distributed acoustic sensing with scatter-enhanced fibre-optic cable at the Cu–Au New Afton porphyry deposit, British Columbia, Canada. Geophysical Prospecting. 2020;68(1):313–333. https://doi.org/10.1111/1365-2478.12828
15. Yaroslavtsev A. G., Fatkin K. B. Mine seismic surveys for the control of safety pillars in potash mines. In: Engineering and Mining Geophysics 2020. European Association of Geoscientists & Engineers; 2020. https://doi.org/10.3997/2214-4609.202051043
16. Sanfirov I. A., Yaroslavtsev A. G., Chugaev A. V. et al. Frozen wall construction control in mine shafts using land and borehole seismology techniques. Journal of Mining Science. 2020;56(3):359–369. https://doi.org/10.1134/S1062739120036641
17. Chugaev A.V., Sanfirov I.A., Lisin V.P. et al. The integrated borehole seismic surveys at the verkhnekamskoye potassium salt deposit. In: Lecture Notes in Networks and Systems. Vol. 342. Cham: Springer International Publishing; 2022. Pp. 255–269. https://doi.org/10.1007/978-3-030-89477-1_25
18. Correa J., Egorov A., Tertyshnikov K. et al. Analysis of signal to noise and directivity characteristics of DAS VSP at near and far offsets – A CO2CRC Otway Project data example. The Leading Edge. 2017;36(12):962–1044. https://doi.org/10.1190/tle36120994a1.1
19. Kuvshinov B. N. Interaction of helically wound fibre-optic cables with plane seismic waves. Geophysical Prospecting. 2016;64(3):671–688. https://doi.org/10.1111/1365-2478.12303
20. den Boer J. J., Mateeva A., Pearce J. G. et al. Detecting broadside acoustic signals with a fiber optical distributed acoustic sensing (DAS) assembly. Standard Patent WO2013/090544/A1, 2013. URL: https:// patentimages.storage.googleapis.com/6a/52/dc/6513f050b2f66c/AU2012352253C1.pdf
21. Tertyshnikov K., Bergery G., Freifeld B., Pevzner R. Seasonal effects on DAS using buried helically wound cables. In: EAGE Workshop on Fiber Optic Sensing for Energy Applications in Asia Pacific. European Association of Geoscientists & Engineers; 2020. https://doi.org/10.3997/2214-4609.202070007
22. Stork A. L., Chalari A., Durucan S. et al. Fibre-optic monitoring for high-temperature Carbon Capture, Utilization and Storage (CCUS) projects at geothermal energy sites. First Break. 2020;38(10):61–67. https://doi.org/10.3997/1365-2397.fb2020075
23. Baird A. Modelling the response of helically wound DAS cables to microseismic arrivals. In: First EAGE Workshop on Fibre Optic Sensing. European Association of Geoscientists & Engineers; 2020. https://doi.org/10.3997/2214-4609.202030019
24. Egorov A., Charara M., Alfataierge E., Bakulin A. Realistic modeling of surface seismic and VSP using DAS with straight and shaped fibers of variable gauge length. In: First International Meeting for Applied Geoscience & Energy Expanded Abstracts. Tulsa, OK, USA: Society of Exploration Geophysicists; 2021. Pp. 184–193. https://doi.org/10.1190/segam2021-3576626.1
Review
For citations:
Chugaev A.V., Tarantin M.V. Amplitude-frequency response of a helically-wound fiber distributed acoustic sensor (DAS). Mining Science and Technology (Russia). 2023;8(1):13-21. https://doi.org/10.17073/2500-0632-2022-06-10