none 10.1190/INT-2021-0036.1 Society of Exploration Geophysicists Society of Exploration Geophysicists 186 129831837 226307 2025120913544834900 10.1190 2025-12-09T18:54:58Z 2021-08-31T04:34:56Z 20 Interpretation 2324-8858 2324-8866 11 01 2021 9 4 Vladimir Kazei Aramco Research Center 1 , Houston, Texas 77084, USA. E-mail: vladimir.kazei@aramcoamericas.com (corresponding author); konstantin.osypov@aramcoamericas.com . http://orcid.org/0000-0003-1214-3175 Konstantin Osypov Aramco Research Center 1 , Houston, Texas 77084, USA. E-mail: vladimir.kazei@aramcoamericas.com (corresponding author); konstantin.osypov@aramcoamericas.com . http://orcid.org/0000-0002-4671-6982 Abstract Distributed acoustic sensing (DAS) technologies are now becoming widespread, particularly in vertical seismic profiling (VSP). Being a spatially densely sampled recording of the seismic wavefield, DAS data provide an extended measurement compared with point geophone VSP. We have developed a basic theory that enables an intuitive geophysical understanding of DAS data amplitudes using the concepts of kinetic and potential energy and their fluxes. We start by relating DAS and geophone measurements to potential energy and kinetic energy, respectively. We use this relationship and energy balancing along the well to construct a scheme for inverting DAS and geophone wavefields for density and velocity simultaneously. Then, recognizing that it may be impractical to have geophones and DAS, we adopt a second inversion scheme that eliminates the need for geophones and uses up- and downgoing DAS wavefields instead. There is no need for first-break picking or windowing the data, and the full-length DAS records can be used in both inversion schemes. We test these inversion schemes on 2D elastic synthetics. 10 21 2021 11 01 2021 08 31 2021 SJ23 SJ32 Saudi Aramco http://dx.doi.org/10.13039/501100007809 http://www.niso.org/schemas/ali/1.0/ 1 10.1190/crossmark-policy library.seg.org true 2021-01-27 2021-06-23 2021-06-29 2021-10-21 Saudi Aramco http://dx.doi.org/10.13039/501100007809 http://creativecommons.org/licenses/by/4.0/ 10.1190/INT-2021-0036.1 https://pubs.geoscienceworld.org/interpretation/article/9/4/SJ23/608586/Inverting-distributed-acoustic-sensing-data-using https://pubs.geoscienceworld.org/seg/interpretation/article-pdf/9/4/SJ23/5454929/int-2021-0036.1.pdf https://pubs.geoscienceworld.org/seg/interpretation/article-pdf/9/4/SJ23/5454929/int-2021-0036.1.pdf https://pubs.geoscienceworld.org/interpretation/article/9/4/sj23/608586/inverting-distributed-acoustic-sensing-data-using 10.1190/segam2020-3419066.1 Alfataierge E. Aldawood A. Bakulin A. Stewart R. R. 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