Science Score: 67.0%
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Low similarity (7.2%) to scientific vocabulary
Repository
Supplement for doi.org/asdasd
Basic Info
- Host: GitHub
- Owner: miili
- License: gpl-3.0
- Language: Python
- Default Branch: master
- Size: 45 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Extended Supplement: DAS Adaptive frquency-wavenumber filter
De-noising distributed acoustic sensing data using an adaptive frequency-wavenumber filter; Marius P Isken, S Heimann, H Vasyura-Bathke, T Dahm;
Electronic supplement for doi.org/
Abstract
Data recorded by distributed acoustic sensing (DAS) along an optical fiber sample the spatial and temporal properties of seismic wavefields at high spatial density. This lead to massive data when collected for seismic monitoring along kilometer long cables. The spatially coherent signals from weak seismic arrivals within the data are often obscured by incoherent noise. We present a flexible and computationally efficient filtering technique which makes use of the dense spatial and temporal sampling of the data and can handle the large amount of data. The presented adaptive frequency-wavenumber filter suppresses the incoherent seismic noise while amplifying the coherent wave field. We analyse the response of the filter in time and spectral domain, and we demonstrate its performance on a noisy data set that was recorded in a vertical borehole observatory showing active and passive seismic phase arrivals. In these data we can suppress the noise up to 20 dB. Lastly, we present a performant open-source software implementation enabling real-time filtering of large DAS data sets.
Distributed Acoustic Sensing Data
The different DAS data sets are located in data/
VSP shot at 200 m distance:
das-data-vsp.npy, shown in Figure 1 and Figure 2.Regional earthquake M=4.0:
data-DAS-gfz2020wswf.npy, shown in Figure S1 and Figure S2.Local earthquake Ml=1:
landwuest_UTC_20210422_034648.386.tdms, shown in Figure S4.
Plotting scripts
The plotting scripts require pyrocko and the package lightguide.
Owner
- Name: Mi!
- Login: miili
- Kind: user
- Location: Germany
- Repositories: 79
- Profile: https://github.com/miili
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Extended Supplement for De-noising distributed
acoustic sensing data using an adaptive
frequency-wavenumber filter
message: 'If you use this resource, please cite it as below.'
type: dataset
authors:
- given-names: Marius Paul
family-names: Isken
email: mi@gfz-potsdam.de
affiliation: GFZ German Research Centre for Geosciences
orcid: 'https://orcid.org/0000-0003-2464-1630'
- given-names: Sebastian
family-names: Heimann
email: sebastian.heimann@gfz-potsdam.de
affiliation: 'University of Potsdam, Germany'
- given-names: Hannes
family-names: Vasyura-Bathke
affiliation: GFZ German Research Centre for Geosciences
- affiliation: GFZ German Research Centre for Geosciences
given-names: Torsten
family-names: Dahm
email: dahm@gfz-potsdam.de
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