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Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing
Deformation-rate distributed acoustic sensing (DAS), made available by the unique designs of certain interrogator units, acquires seismic data that are theoretically equivalent to the along-fiber particle velocity motion recorded by geophones for scenarios involving elastic ground-fiber coupling. Wh...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695438/ https://www.ncbi.nlm.nih.gov/pubmed/36433373 http://dx.doi.org/10.3390/s22228777 |
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author | Yang, Jihyun Shragge, Jeffrey Jin, Ge |
author_facet | Yang, Jihyun Shragge, Jeffrey Jin, Ge |
author_sort | Yang, Jihyun |
collection | PubMed |
description | Deformation-rate distributed acoustic sensing (DAS), made available by the unique designs of certain interrogator units, acquires seismic data that are theoretically equivalent to the along-fiber particle velocity motion recorded by geophones for scenarios involving elastic ground-fiber coupling. While near-elastic coupling can be achieved in cemented downhole installations, it is less obvious how to do so in lower-cost horizontal deployments. This investigation addresses this challenge by installing and freezing fiber in shallow backfilled trenches (to 0.1 m depth) to achieve improved coupling. This acquisition allows for a reinterpretation of processed deformation-rate DAS waveforms as a “filtered particle velocity” rather than the conventional strain-rate quantity. We present 1D and 2D filtering experiments that suggest 2D velocity-dip filtering can recover improved DAS data panels that exhibit clear surface and refracted arrivals. Data acquired on DAS fibers deployed in backfilled, frozen trenches were more repeatable over a day of acquisition compared to those acquired on a surface-deployed DAS fiber, which exhibited more significant amplitude variations and lower signal-to-noise ratios. These observations suggest that deploying fiber in backfilled, frozen trenches can help limit the impact of environmental factors that would adversely affect interpretations of time-lapse DAS observations. |
format | Online Article Text |
id | pubmed-9695438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96954382022-11-26 Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing Yang, Jihyun Shragge, Jeffrey Jin, Ge Sensors (Basel) Article Deformation-rate distributed acoustic sensing (DAS), made available by the unique designs of certain interrogator units, acquires seismic data that are theoretically equivalent to the along-fiber particle velocity motion recorded by geophones for scenarios involving elastic ground-fiber coupling. While near-elastic coupling can be achieved in cemented downhole installations, it is less obvious how to do so in lower-cost horizontal deployments. This investigation addresses this challenge by installing and freezing fiber in shallow backfilled trenches (to 0.1 m depth) to achieve improved coupling. This acquisition allows for a reinterpretation of processed deformation-rate DAS waveforms as a “filtered particle velocity” rather than the conventional strain-rate quantity. We present 1D and 2D filtering experiments that suggest 2D velocity-dip filtering can recover improved DAS data panels that exhibit clear surface and refracted arrivals. Data acquired on DAS fibers deployed in backfilled, frozen trenches were more repeatable over a day of acquisition compared to those acquired on a surface-deployed DAS fiber, which exhibited more significant amplitude variations and lower signal-to-noise ratios. These observations suggest that deploying fiber in backfilled, frozen trenches can help limit the impact of environmental factors that would adversely affect interpretations of time-lapse DAS observations. MDPI 2022-11-14 /pmc/articles/PMC9695438/ /pubmed/36433373 http://dx.doi.org/10.3390/s22228777 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Jihyun Shragge, Jeffrey Jin, Ge Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing |
title | Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing |
title_full | Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing |
title_fullStr | Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing |
title_full_unstemmed | Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing |
title_short | Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing |
title_sort | filtering strategies for deformation-rate distributed acoustic sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695438/ https://www.ncbi.nlm.nih.gov/pubmed/36433373 http://dx.doi.org/10.3390/s22228777 |
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