1887
2nd Australasian Exploration Geoscience Conference: Data to Discovery
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

Summary

CO injection into clastic brine-saturated reservoirs leads to a detectable reduction of the elastic moduli of the reservoir rocks. However, quantitative interpretation of the time-lapse seismic anomalies obtained for CO storage projects is challenging, because the injected gas can form thin plumes with low saturated narrow streaks. That is why, the time-lapse interpretation is often limited to qualitative detection of CO leakages. This paper is concerned with two questions: what CO plume parameters can be estimated from realistic bandlimited seismic data and how noise in the data affects the quality of the estimates. To this end we perform stochastic rock physics simulations of the injection reservoirs. The reservoir realisations differ in thickness, net-to-gross, contrast between the permeable and impermeable sediments and vertical distribution of the CO. The rock physics analysis suggests that maximum and integral value of the relative acoustic impedance changes are most sensitive to the parameters of the plume. The remainder of the analysis of the noise focuses on the survey repeatability and errors in the wavelet estimation. We show that both of the noise types strongly affect the accuracy of the timelapse inversion. The proposed workflow provided rigorous means to estimate limitations of the time-lapse seismic inversion for CO storage projects. It may be easily adapted to real projects and guide the monitoring system design or optimisation of data analysis workflows.

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/content/journals/10.1080/22020586.2019.12073195
2019-12-01
2026-01-18
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References

  1. Elfeki, A., & Dekking, M. (2001). A Markov chain model for subsurface characterization: Theory and applications. Mathematical Geology, 33(5), 569–589. https://doi.org/10.1023/A:1011044812133
  2. Kennett, B. (1983). Seismic Wave Propagation in Stratified Media. In Cambridge University Press. https://doi.org/10.1111/j.1365-246X.1986.tb01087.x
  3. Wollner, U., & Dvorkin, J. (2018). Seismic-scale dependence of the effective bulk modulus of pore fluid upon water saturation. Geophysics, 83(2), MR81-MR91. https://doi.org/10.1190/geo2017-0293.1
/content/journals/10.1080/22020586.2019.12073195
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  • Article Type: Research Article
Keyword(s): CO2 monitoring; inversion robustness; Time-lapse quantitative interpretation
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