A framework for subsurface monitoring by integrating reservoir simulation with time-lapse seismic surveys

Journal Article (2023)
Author(s)

J. Van Ijsseldijk (TU Delft - Applied Geophysics and Petrophysics)

Hadi Hajibeygi (TU Delft - Reservoir Engineering)

K. Wapenaar (TU Delft - Applied Geophysics and Petrophysics)

Research Group
Applied Geophysics and Petrophysics
Copyright
© 2023 J.E. van IJsseldijk, H. Hajibeygi, C.P.A. Wapenaar
DOI related publication
https://doi.org/10.1038/s41598-023-40548-0
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 J.E. van IJsseldijk, H. Hajibeygi, C.P.A. Wapenaar
Research Group
Applied Geophysics and Petrophysics
Issue number
1
Volume number
13
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Abstract

Reservoir simulations for subsurface processes play an important role in successful deployment of geoscience applications such as geothermal energy extraction and geo-storage of fluids. These simulations provide time-lapse dynamics of the coupled poromechanical processes within the reservoir and its over-, under-, and side-burden environments. For more reliable operations, it is crucial to connect these reservoir simulation results with the seismic surveys (i.e., observation data). However, despite being crucial, such integration is challenging due to the fact that the reservoir dynamics alters the seismic parameters. In this work, a coupled reservoir simulation and time-lapse seismic methodology is developed for multiphase flow operations in subsurface reservoirs. To this end, a poromechanical simulator is designed for multiphase flow and connected to a forward seismic modeller. This simulator is then used to assess a novel methodology of seismic monitoring by isolating the reservoir signal from the entire reflection response. This methodology is shown to be able to track the development of the fluid front over time, even in the presence of a highly reflective overburden with strong time-lapse variations. These results suggest that the proposed methodology can contribute to a better understanding of fluid flow in the subsurface. Ultimately, this will lead to improved monitoring of reservoirs for underground energy storage or production.