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Abstract

Summary

In this work, we demonstrate a generic framework for integrating multiple types of data into an ensemble data assimilation workflow, with an application to the Smeaheia model. The framework allows us to explore different assimilation methods, various definitions of uncertain model parameters, and the inclusion of both well data and geophysical monitoring tools. Initial results show that by jointly assimilating synthetic 4D AVA, 4D gravity, vertical seafloor displacement, and injection well pressure data, we can reduce the uncertainty in several types of model parameters (e.g. reservoir temperature, porosity and permeability), with the combined time-lapse signatures of saturation changes due to CO2 injection, pressure changes from the depletion of the Troll field, dissolution of CO2 into brine, and geological uncertainty.

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2025-10-27
2026-01-17

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References

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/content/papers/10.3997/2214-4609.202521165
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Demonstrating a Multi-Physics Data Assimilation Framework on the Smeaheia CO2 Storage Case
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202521165
/content/papers/10.3997/2214-4609.202521165
/content/papers/10.3997/2214-4609.202521165
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