The seismic quality factor, Q, is a critical parameter for seismic data processing and interpretation. Distributed acoustic sensing (DAS) provides a unique acquisition geometry that is ideal for estimating Q. We use a simple twolayer model to generate synthetic DAS data along a vertical well using typical velocity values representative of the end points of the observed well velocity range. We show that Q estimation with the spectral ratios method using DAS measurement, when performed without gauge length correction, results in significant errors. Properly correcting the DAS measurement for gauge length effects yields axial strain that permits accurate Q estimation. Gauge length corrections are shown to reduce Q estimation errors in synthetic data (Q=100) from 210% for DAS measurement to 1% for axial strain.
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SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy
September 26–October 1, 2021
Denver, Colorado, USA and online
Characterizing anelastic attenuation using distributed acoustic sensing (DAS) data
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, Denver, Colorado, USA and online, September 2021.
Paper Number:
SEG-2021-3563438
Published:
October 30 2021
Citation
Sayed, Ali, Khaitan, Manish Lal, Ali, Shujaat, and Alejandro Martinez. "Characterizing anelastic attenuation using distributed acoustic sensing (DAS) data." Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, Denver, Colorado, USA and online, September 2021. doi: https://doi.org/10.1190/segam2021-3563438.1
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