Dataset title: Twenty months of continuous DAS-SOV direct wave signatures
DOI: 10.25917/0t9r-5113
 
  Principal Investigator Contact Information
         Name: Sinem Yavuz
         Email: sinem.yavuz@curtin.edu.au
		 Institution: Curtin University
		 ORCID: 0000-0002-9345-8517
 
 
  Associate or Co-investigator Contact Information
         Name: Roman Isaenkov
         Email: roman.isaenkov@curtin.edu.au
		 Institution: Curtin University
		 ORCID: 
 
 
  Associate or Co-investigator Contact Information
         Name: Boris Gurevich
         Email: b.gurevich@curtin.edu.au
		 Institution: Curtin University
		 ORCID: 
 
 
  Associate or Co-investigator Contact Information
         Name: Todd  Wood
         Email: toddwood@lbl.gov
		 Institution: Lawrence Berkeley National Laboratory
		 ORCID: 
 
 
  Associate or Co-investigator Contact Information
         Name: Barry M. Freifel
         Email: bmfreifeld@lbl.gov
		 Institution: Class VI Solutions, Inc.
		 ORCID: 
 
 
  Associate or Co-investigator Contact Information
         Name: Roman Pevzner
         Email: r.pevzner@curtin.edu.au
		 Institution: Curtin University
		 ORCID: 
 
 

Date of dataset publication: August 2023
Keywords: distributed acoustic sensing, surface orbital vibrators, direct wave signature

Primary dataset contact: Sinem Yavuz; sinem.yavuz@curtin.edu.au
If necessary, further information or contact details may be found by emailing researchdata@curtin.edu.au

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DATA INFORMATION

Data description: 

wavelets (direct wave signatures) are generated from the first 300 vintages covering twenty months of continuous DAS-SOV data. 
The raw shot records are produced by deconvolving DAS seismograms with the source sweeps recorded at the near-field geophones and then by vertically stacking each rotation daily.
Yavuz et al. (2021) discussed this method in detail. To estimate the direct wave signatures, we choose a set of deep traces for each well-source pair. 
These traces are deep enough (~1km), so primary energy (PP) or any other seismic energy does not interfere with the direct arrivals but are shallower than the reservoir depth (~1.5km). 
To improve the signal-to-noise in this estimation, selected traces are flattened along the first breaks before summation. 

Yavuz, S., Isaenkov, R., Pevzner, R., Gurevich, B., Tertyshnikov, K., Yurikov, A., Correa, J., Wood, T., & Freifeld, B. (2021). 
Processing of multi-well offset vertical seismic profile data acquired with distributed acoustic sensors and surface orbital vibrators: Stage 3 of the CO2CRC Otway Project case study. Geophysical Prospecting, Volume 69, Issue 8-9, Pages 1664-1677. https://doi.org/10.1111/1365-2478.13141 

Data collection time details: 
Number of files & types: 4,379 Files in sgy format, 5 matlab files in m format
Special software required to open files: generic seismic data display software and matlab

Geographic information (if relevant): Australia, Otway international test centre

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REUSE INFORMATION

Recommended citation: Yavuz, S., Isaenkov, R., Gurevich, B., Wood, T., Freifel, B. M., & Pevzner, R. (2023). Twenty months of continuous DAS-SOV direct wave signatures [Data set]. Curtin University. https://doi.org/10.25917/0T9R-5113

This dataset is provided under a CC BY 4.0 license. More details can be found at https://creativecommons.org/licenses/by/4.0/