The time-lapse AVO difference inversion for changes in reservoir parameters

Zhi, Longxiao; Gu, Hanming; Li, Yan

doi:10.1088/1742-2132/13/6/899

Cited by 7 publications

(1 citation statement)

References 10 publications

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“…Seismic time-lapse signals are sensitive to changes in subsurface elastic properties, where changes due to contrasts in both saturation and pressure are important for CO 2 monitoring. Discrimination between saturation and pressure effects is discussed, e.g., in [16,33,47,58,68,73,74]. Obtaining reliable saturation and pressure estimates from AVO data can be difficult, due to data and modelling errors, poor conditioning of the linearized AVO system, and significant uncertainties in the petroelastic model.…”

Section: Introductionmentioning

confidence: 99%

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

et al. 2020

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A sequential inversion methodology for combining geophysical data types of different resolutions is developed and applied to monitoring of large-scale CO 2 injection. The methodology is a two-step approach within the Bayesian framework where lower resolution data are inverted first, and subsequently used in the generation of the prior model for inversion of the higher resolution data. For the application of CO 2 monitoring, the first step is done with either controlled source electromagnetic (CSEM) or gravimetric data, while the second step is done with seismic amplitude-versus-offset (AVO) data. The Bayesian inverse problems are solved by sampling the posterior probability distributions using either the ensemble Kalman filter or ensemble smoother with multiple data assimilation. A model-based parameterization is used to represent the unknown geophysical parameters: electric conductivity, density, and seismic velocity. The parameterization is well suited for identification of CO 2 plume location and variation of geophysical parameters within the regions corresponding to inside and outside of the plume. The inversion methodology is applied to a synthetic monitoring test case where geophysical data are made from fluid-flow simulation of large-scale CO 2 sequestration in the Skade formation. The numerical experiments show that seismic AVO inversion results are improved with the sequential inversion methodology using prior information from either CSEM or gravimetric inversion.

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Section: Introductionmentioning

confidence: 99%

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

et al. 2020

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Monitoring of Large‐Scale CO ₂ Injection Using CSEM, Gravimetric, and Seismic AVO Data

Tveit¹,

Mannseth²

2022

Geophysical Monitoring for Geologic Carbon Storage

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Time-lapse joint AVO inversion using generalized linear method based on exact Zoeppritz equations

Zhi

2018

Journal of Applied Geophysics

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The time-lapse AVO difference inversion for changes in reservoir parameters

Cited by 7 publications

References 10 publications

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

Monitoring of Large‐Scale CO ₂ Injection Using CSEM, Gravimetric, and Seismic AVO Data

Time-lapse joint AVO inversion using generalized linear method based on exact Zoeppritz equations

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The time-lapse AVO difference inversion for changes in reservoir parameters

Cited by 7 publications

References 10 publications

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

Monitoring of Large‐Scale CO 2 Injection Using CSEM, Gravimetric, and Seismic AVO Data

Time-lapse joint AVO inversion using generalized linear method based on exact Zoeppritz equations

Contact Info

Product

Resources

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Monitoring of Large‐Scale CO ₂ Injection Using CSEM, Gravimetric, and Seismic AVO Data