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Abstract

Summary

Efficient CO storage monitoring is crucial for Carbon Capture and Storage (CCS) projects. At the Sleipner field, CO has been injected into the Miocene Utsira Formation since 1996, and seven seismic surveys have been acquired between 1994 and 2010 to monitor the movement of CO2. Due to acquisition and processing inconsistencies, traditional analysis methods face challenges in computing quantitative differences within series of time-lapse seismic surveys, affecting the quality of the results. This study introduces a novel quantitative method leveraging Relative Geological Time (RGT) models for accurate 4D time-shift estimation.

By systematically interpreting stratigraphic layers and calibrating RGT models, the proposed method achieves precise volumetric estimates of time-shifts in reservoirs within two seismic volumes. The approach reduces noise sensitivity and computational demands by focusing on cross-correlations between models rather than direct seismic trace correlations.

Applied to the seven Sleipner seismic surveys (1994–2010), the results reveal detailed analysis of the different steps of the plume migration. Results show improved detection of subtle reservoir changes, highlighting intra-impermeable barriers controlling the CO distribution.

This method enhances 4D seismic analysis by providing detailed time-shift estimations that are immune to local noise. As a result, it improves CO migration tracking and storage integrity assessment.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202522040
2025-09-01
2026-02-15

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References

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4D Seismic Monitoring of Sleipner Field Leveraging a New Quantitative 4D Time-Shift Estimation Workflow
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202522040
/content/papers/10.3997/2214-4609.202522040
/content/papers/10.3997/2214-4609.202522040
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