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Journal Article
Journal: The Leading Edge
Published: 01 September 2022
The Leading Edge (2022) 41 (9): 636–640.
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First thumbnail for: Digitalization of asset surveillance through distr...
Second thumbnail for: Digitalization of asset surveillance through distr...
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Journal Article
Journal: Geophysics
Published: 07 May 2024
Geophysics (2024) 89 (4): KS95–KS103.
.... engineering geophysics fiber optics intertidal seismic surface waves Geological Survey of Ireland (GSI), Science Foundation Ireland (SFI), the European Regional Development Fund and Optasense Limited 13/RC/2092_P2 Science Foundation Ireland, Geological Survey of Ireland and the Environmental...
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First thumbnail for: Distributed acoustic sensing for seismic surface w...
Second thumbnail for: Distributed acoustic sensing for seismic surface w...
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Journal Article
Journal: The Leading Edge
Published: 01 November 2024
The Leading Edge (2024) 43 (11): 740–746.
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First thumbnail for: Detection of microseismic events in continuous DAS...
Second thumbnail for: Detection of microseismic events in continuous DAS...
Third thumbnail for: Detection of microseismic events in continuous DAS...
Journal Article
Journal: Interpretation
Published: 29 May 2015
Interpretation (2015) 3 (3): SW37–SW49.
... for OptaSense Inc. He is one of the founders of 4th Wave Imaging, a service company specializing in time-lapse seismic, which was acquired by Fugro in 2007. He worked for Fugro following that acquisition until joining SR2020, Inc., in 2013. He has also worked for Chevron and Western Geophysical. He is a member...
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First thumbnail for: Interferometric salt-flank estimation
Second thumbnail for: Interferometric salt-flank estimation
Third thumbnail for: Interferometric salt-flank estimation
Journal Article
Published: 06 May 2020
Seismological Research Letters (2020) 91 (4): 2395–2398.
... shown in this figure were acquired by the OptaSense 3rd Generation Distributed Acoustic Sensor (ODH‐3) system; similar seismic signals have also been clearly observed on the High‐Fidelity Distributed Acoustic system (HDAS; Fig. S2). The color version of this figure is available only in the electronic...
FIGURES
First thumbnail for: Rose Parade Seismology: Signatures of Floats and B...
Second thumbnail for: Rose Parade Seismology: Signatures of Floats and B...
Third thumbnail for: Rose Parade Seismology: Signatures of Floats and B...
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Demonstration of signal processing and visualization. (a) Original strain recording for 100 s beginning on 4 November 2021 01:59:02 UT, recorded by the Optasense interrogator channel 9000–19,000 on north ocean‐bottom cable from RAPID dataset (Wilcock and Ocean Observatories Initiative, 2023). (b) Filter to 15–27 Hz, following Wilcock et al. (2023). (c) Spectrogram averaged over 100 channels. (d) Frequency–wavenumber (f‐k) spectrum calculated from 2D fast Fourier transform. The color version of this figure is available only in the electronic edition.
Published: 26 July 2024
Figure 3. Demonstration of signal processing and visualization. (a) Original strain recording for 100 s beginning on 4 November 2021 01:59:02 UT, recorded by the Optasense interrogator channel 9000–19,000 on north ocean‐bottom cable from RAPID dataset ( Wilcock and Ocean Observatories Initiative
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Probabilistic PSD (PPSD) as a function of distance. (a) The PSDs centered at nine locations of the 2024 DAS data during the network downtime. Each PSD is the average of over 200 consecutive channels of which the center location is indicated by the legend color. The water depth at the center channels is 26, 93, 171, 366, 352, 464, 597, 705, and 955 m. (b) The PSDs of the 2024 DAS with multiplexing, with network throughput between 700 and 800 Mbps. (c) The PSDs of the 2024 DAS data with multiplexing, at the same hour but different day from panel (a), with RCA communication throughput between 250 and 350 Mbps. (d) The PSDs of 2021 DAS data at the same locations, were acquired on dark fiber with an OptaSense QuantX interrogator. The background colors of the two subfigures represent the probability density of the PSD for the segment centered at the 12.3 km distance.
Published: 28 February 2025
between 250 and 350 Mbps. (d) The PSDs of 2021 DAS data at the same locations, were acquired on dark fiber with an OptaSense QuantX interrogator. The background colors of the two subfigures represent the probability density of the PSD for the segment centered at the 12.3 km distance.
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Workflow for DASstore: distributed acoustic sensing (DAS) data are converted into Zarr or TileDB format in the MinIO object storage server. The computing server sends a data request to the MinIO object storage and loads the data directly into the memory. A conventional workflow would be downloading the HDF5 file from the raw data server and loading data to memory on the server where computing is performed (gray dashed arrows). The data attributes converted from the raw HDF5 files are stored in the new format, which in the Ocean Observatories Initiative (OOI) examples are: RawData–2D DAS data, RawDataTime–1D time axis, with four customized datasets: GpBits, GpsStatus, PpsOffset, and SampleCount. These datasets are specific to the OptaSense interrogator of the OOI data. The color version of this figure is available only in the electronic edition.
Published: 20 October 2023
, RawDataTime–1D time axis, with four customized datasets: GpBits, GpsStatus, PpsOffset, and SampleCount. These datasets are specific to the OptaSense interrogator of the OOI data. The color version of this figure is available only in the electronic edition.
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Cases of wavefield denoising. (a) Waveforms of an MD 2.8 earthquake (see Data and Resources) recorded by Stanford‐1 DAS array (Biondi et al., 2017; Martin et al., 2017). Bad channels are removed and band‐pass filter to 1–20 Hz. (b) Waveforms with spikes removed based on panel (a). (c) Waveforms with stochastic noise removed by curvelet transform based on panel (b). (d) Strain recording filtered to 15–27 Hz for 10 s beginning on 4 November 2021 01:59:22 UT, recorded by the Optasense interrogator on north ocean‐bottom cable from RAPID dataset (Wilcock and Ocean Observatories Initiative, 2023). (e) Waveforms with common‐mode noise removed based on panel (d). The color version of this figure is available only in the electronic edition.
Published: 26 July 2024
on panel (a). (c) Waveforms with stochastic noise removed by curvelet transform based on panel (b). (d) Strain recording filtered to 15–27 Hz for 10 s beginning on 4 November 2021 01:59:22 UT, recorded by the Optasense interrogator on north ocean‐bottom cable from RAPID dataset ( Wilcock and Ocean
Journal Article
Published: 28 February 2025
Seismological Research Letters (2025) 96 (2A): 801–815.
... and time. This study utilized the OptaSense QuantX interrogator and the OptaSense Proteus sensing cable. The DAS system was configured with a channel spacing of 1.03 m (preset by the interrogator), and an initial ping rate of 40 kHz, which was decimated to 10 kHz to reduce computational costs...
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First thumbnail for: Distributed Acoustic Sensing for Whale Vocalizatio...
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Swell‐modulated noise. (a–d) A 2 min section of 2024 ASN OptoDAS data on lit fiber showing: (a) direct SGW loading in intermediate water depth (low‐pass filtered below 0.5 Hz), (b) modulated high‐frequency noise (band‐pass filtered 2–25 Hz), (c) zoom‐in to panel (b) showing coherent propagation around 300–500 m/s, (d) spectral amplitude at 2 Hz calculated from a short‐time Fourier transform along each channel, with a black contour at 200  nε/s the absolute value of the low‐pass filtered data from (a) overlaid. (e–h) Same as panels (a–d) but for the 2021 OptaSense QuantX data on dark fiber. In panel (g), the swell‐modulated noise appears less coherent than in panel (c). (i–l, m–p) Same as panels (a–d, e–h) but for a 20 s data section in deeper water where no direct loading from SGW is visible, showing that similar noise appears modulated by low‐frequency microseism only in the 2021 dataset. The first three columns are in units of strain rate (m/m/s), and the fourth column is in units of log strain rate.
Published: 28 February 2025
propagation around 300–500 m/s, (d) spectral amplitude at 2 Hz calculated from a short‐time Fourier transform along each channel, with a black contour at 200    n ε / s the absolute value of the low‐pass filtered data from (a) overlaid. (e–h) Same as panels (a–d) but for the 2021 OptaSense QuantX
Image
Spectrograms for DAS channels at different distances from shore: (a) 25 km and (b) 45 km using the same color scale. The black lines indicate days with missing data: the interrogator swap on day 265 and the OPTASENSE license renewal on day 334. (a) The ocean surface gravity waves (OSGW) consistently dominate (range 0.05–0.15 Hz), and we observe many dispersed swell arrivals (dashed boxes), excited by distant storms (e.g., Dolenc et al., 2005). (b) Here, secondary microseisms can be observed in the frequency range 0.2–0.4 Hz. The narrow broadband peak observed on day 298 corresponds to a local Mw 5 earthquake, whereas on day 262, an Mw 7.6 teleseismic event occurred in Mexico. The interrogator swap on day 263 resulted in a slight decrease of noise, most notable around 20–30 s period. The infragravity wave energy level (in the frequency band at 0.01–0.06 Hz) gradually increases after day 290 because of the onset of winter stormy weather.
Published: 09 June 2023
Figure 3. Spectrograms for DAS channels at different distances from shore: (a) 25 km and (b) 45 km using the same color scale. The black lines indicate days with missing data: the interrogator swap on day 265 and the OPTASENSE license renewal on day 334. (a) The ocean surface gravity waves (OSGW
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Seismic records show the amplitude of shaking on the Pasadena distributed acoustic sensing (DAS) array. (a,b) Maps show the locations of the Rose Parade route and the Pasadena DAS array, which consists of ∼5000 single‐component DAS strain sensors with a spatial sampling interval of 8 m. The two blue balloons indicate the section of the DAS records shown in (c). (c) The envelope of seismic signals filtered at different frequency bands. The seismic signals at 0.05–1.0 Hz are from the floats, whereas the 1.0–10.0 Hz signals are from the marching bands. Note the floats and bands appeared sequentially (Fig. S1). The gaps on the yellow stripes are caused by traffic congestion. The seismic data shown in this figure were acquired by the OptaSense 3rd Generation Distributed Acoustic Sensor (ODH‐3) system; similar seismic signals have also been clearly observed on the High‐Fidelity Distributed Acoustic system (HDAS; Fig. S2). The color version of this figure is available only in the electronic edition.
Published: 06 May 2020
appeared sequentially (Fig. S1). The gaps on the yellow stripes are caused by traffic congestion. The seismic data shown in this figure were acquired by the OptaSense 3rd Generation Distributed Acoustic Sensor (ODH‐3) system; similar seismic signals have also been clearly observed on the High‐Fidelity
Journal Article
Journal: The Leading Edge
Published: 01 February 2018
The Leading Edge (2018) 37 (2): 149.
... Joaquin Basin. Brad Bacon will give a presentation on PDC Energy's Wattenberg integrated multivariate study. Martin Karrenbach, OptaSense, will present a Devon project from Oklahoma's STACK play, discussing a combined analysis of distributed acoustic sensing microseismic and strain. At the time...
Journal Article
Published: 04 January 2023
Seismological Research Letters (2023) 94 (2A): 983–998.
... ˙ FORESEE Silixa iDAS‐v2 365 HDF5 125 ‡ 29,338 10 4,900 2 ε ˙ FOSSA Silixa iDAS‐v2 7 TDMS 500 11,680 10 23,300 2 ε ˙ LaFarge Silixa iDAS 2 * SEG‐Y 1,000 45 10 1,120 1 ε ˙ Stanford‐1 OptaSense ODH3 940 SEG‐Y 50 18,908 7.14 2,500 8.16...
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First thumbnail for: PubDAS: A PUBlic Distributed Acoustic Sensing Data...
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Journal Article
Published: 27 November 2023
Seismological Research Letters (2024) 95 (3): 1569–1577.
... ProdML 19.2 51,187 2,666 11.2 100 439 27 Stanford University Optasense ODH‐3 custom H5 8.2 2,856 350 16 100 125 28 SUS Tech Silixa iDAS‐MG NPY 20.4 3,000 147 10 100 15 29 T8 sensor T8 DAS Dunay T8 (H5) 19.2 700 36 20 100 4.6 30 Tampnet/ASN ASN OptoDAS ASN...
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First thumbnail for: The Global DAS Month of February 2023
Second thumbnail for: The Global DAS Month of February 2023
Third thumbnail for: The Global DAS Month of February 2023
Journal Article
Published: 28 February 2025
Seismological Research Letters (2025) 96 (2A): 784–800.
... between 250 and 350 Mbps. (d) The PSDs of 2021 DAS data at the same locations, were acquired on dark fiber with an OptaSense QuantX interrogator. The background colors of the two subfigures represent the probability density of the PSD for the segment centered at the 12.3 km distance. ...
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First thumbnail for: Multiplexed Distributed Acoustic Sensing Offshore ...
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Journal Article
Journal: The Leading Edge
Published: 01 October 2013
The Leading Edge (2013) 32 (10): 1278–1283.
... this technology. We also thank Optasense for a fruitful collaboration. All DAS data shown in this article were acquired by OptaSense. ...
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First thumbnail for: Distributed acoustic sensing for reservoir monitor...
Second thumbnail for: Distributed acoustic sensing for reservoir monitor...
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Journal Article
Published: 09 June 2023
Seismological Research Letters (2023) 94 (5): 2348–2359.
...Figure 3. Spectrograms for DAS channels at different distances from shore: (a) 25 km and (b) 45 km using the same color scale. The black lines indicate days with missing data: the interrogator swap on day 265 and the OPTASENSE license renewal on day 334. (a) The ocean surface gravity waves (OSGW...
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First thumbnail for: SeaFOAM: A Year‐Long DAS Deployment in Monterey Ba...
Second thumbnail for: SeaFOAM: A Year‐Long DAS Deployment in Monterey Ba...
Third thumbnail for: SeaFOAM: A Year‐Long DAS Deployment in Monterey Ba...
Journal Article
Published: 21 April 2025
Seismological Research Letters (2025)
... since 10 December 2019. Data acquisition was performed using an ODH‐3 interrogator from Luna–OptaSense, operating at a sampling rate of 250 samples per second with a gauge length of 16 m. The DAS array comprises 1250 channels, each spaced 8.16 m apart. We utilized a section of the fiber along Sand Hill...
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First thumbnail for: Characterizing Vehicle‐Induced Distributed Acousti...
Second thumbnail for: Characterizing Vehicle‐Induced Distributed Acousti...
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