Full-waveform velocity and impedance inversion using OBN and DAS-VSP data

Инверсия скорости и импеданса по полноволновым данным с использованием OBN и DAS-VSP
Yuting Yang, Yang Zhang, F Chen
2026-02-10

DAS-VSP axial strain-rate modelinganisotropic velocity and depth-dependent Q inversionfull-waveform inversion (FWI)ocean bottom node (OBN) datavirtual dipole sources
We propose a high-precision velocity modeling and imaging method that jointly utilizes OBN and DAS-VSP data. DASVSP records axial strain rates, which are challenging to integrate directly into full-waveform inversion (FWI). Conventional approaches convert DAS-VSP data into velocity components, introducing assumptions and approximations that that can lead to errors. To overcome this limitation, we present a novel method that directly simulates strain rate components under the acoustic wave equation using virtual dipole sources while accounting for the gauge length effect in DAS measurements. This approach reconstructs observed DAS data with high accuracy, eliminating errors associated with conventional data conversion. We applied the proposed method to a joint OBN and DASVSP survey conducted in the East China Sea. The combined use of OBN and DAS-VSP data mitigates parameter tradeoffs, enhances constraints on vertical velocity and anisotropy, and enables precise inversion of depthdependent Q models. Leveraging the derived anisotropic velocity and Q models from FWI, we performed impedance inversion on the raw data. The resulting impedance model effectively suppresses multiples and compensates for highfrequency losses due to the Q effects. These results demonstrate the method’s potential to enhance FWI applications, reduce inversion uncertainty, and provide significant theoretical and practical benefits.
1
A novel method directly simulates DAS-VSP axial strain rate components under the acoustic wave equation using virtual dipole sources.
2
Application to an East China Sea survey demonstrates the approach can enhance FWI accuracy, reduce inversion uncertainty, and offer practical benefits.
3
Joint inversion of OBN and DAS-VSP data reduces parameter tradeoffs and strengthens constraints on vertical velocity and anisotropy.
4
The combined data enable precise inversion of depth-dependent Q models, improving attenuation characterization.
5
The method accounts for the DAS gauge length effect, enabling high-accuracy reconstruction of observed DAS data and avoiding conversion-induced errors.
6
Using anisotropic velocity and Q models from FWI, impedance inversion on raw data suppresses multiples and compensates for high-frequency Q losses.

Joint OBN (ocean-bottom node) and DAS-VSP (distributed acoustic sensing vertical seismic profile) survey data and the subsurface model inferred from them in the East China Sea

Full-waveform inversion and impedance inversion methods that directly simulate DAS strain-rate components (including gauge-length effects) with virtual dipole sources to jointly invert OBN and DAS‑VSP data for high-precision anisotropic velocity, depth-dependent Q, and impedance models, reducing parameter tradeoffs and high-frequency loss

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2026-02-10
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Yuting Yang
Yang Zhang
F Chen
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