Multi-Objective Petrophysical Seismic Inversion Based on the Double-Porosity Biot–Rayleigh Model

Petrophysical seismic inversion, aided by rock physics, aims at estimating reservoir properties based on reflection events, but it is generally based on the Gassmann equation, which precludes its applicability to complex reservoirs. To overcome this problem, we present a methodology based on the dou...

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Bibliographic Details
Published in:Surveys in geophysics 2022-08, Vol.43 (4), p.1117-1141
Main Authors: Guo, Qiang, Ba, Jing, Carcione, José M.
Format: Article
Language:English
Subjects:
Algorithms
Astronomy
Bayes Theorem
Bayesian analysis
Earth and Environmental Science
Earth Sciences
Estimation
Geophysics/Geodesy
Inclusions
Microstructure
Modelling
Multiple objective analysis
Observations and Techniques
Optimization
Physics
Porosity
Properties
Reservoirs
Rocks
Sandstone
Sedimentary rocks
Seismic activity
Seismic surveys
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Summary:Petrophysical seismic inversion, aided by rock physics, aims at estimating reservoir properties based on reflection events, but it is generally based on the Gassmann equation, which precludes its applicability to complex reservoirs. To overcome this problem, we present a methodology based on the double-porosity Biot–Rayleigh (BR) model, which takes into account the rock heterogeneities. The volume ratio of inclusions in the BR model is treated as a spatially varying parameter, facilitating a better description of the pore microstructure. The method includes the Zoeppritz equations to extract reservoir properties from prestack data. To handle the ill-posedness of the inversion and achieve a stable solution, the algorithm is formulated as a multi-objective optimization based on the Bayes theorem, where the reservoir-property estimation is jointly conditioned to seismic and elastic data with multiple prior terms. The method is validated with field data of a tight gas sandstone reservoir, illustrating its effectiveness compared to the Gassmann-based estimation, reducing uncertainties and improving the accuracy of identifying gas zones. Article Highlights The petrophysical seismic inversion is based on the double-porosity Biot–Rayleigh model Spatially varying inclusion volumes are used to describe complex pore structures A multi-objective optimization with joint data misfit enables stable results
ISSN:0169-3298
1573-0956
DOI:10.1007/s10712-022-09692-6