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Abstract

Summary

A critical component of CCS is the effective subsurface monitoring of CO2 storage sites to ensure their integrity and performance. The chosen monitoring methods should not only be robust and cost-efficient but potentially also flexible to utilize multiple data types. We have shown how we can effectively model and include DAS VSP and OBS data into a joint FWI inversion using accurate modelling of the different recorded data and using automatic gradient balancing to ensure a balanced update. Elastic modelling is essential to success and through direct modelling of strain data we can integrate the DAS and OBS datasets with minimal pre-processing required.

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/content/papers/10.3997/2214-4609.202510476
2025-06-02
2026-02-13
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References

  1. Fayemendy, C., Sadikhov, E., Bjåstad, A. E., Nakstad, H., Aasen, S. E., Cazeneuve, F., 2021, Practical implementation of a Permanent Reservoir Monitoring system at Johan Sverdrup. Third EAGE Workshop on Practical Reservoir Monitoring, Extended Abstracts.
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  2. Olsen, PA., H.Westerdahl, RDehghan-Niri, M.Galyga, and H.Moore, 2023, Experience from 3D DAS-VSP acquisition and imaging for assessment of CCS applications: 84th EAGE Annual Conference & Exhibition, Extended Abstracts.
    [Google Scholar]
  3. Xu, J., HallidayD. F., Andreasi, F. G., Zhao, X. and Rickett, J., 2024, Multi-survey full-waveform inversion gradient balancing with illumination probing method, SEG Technical Program Expanded Abstracts: 953–957.
    [Google Scholar]
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