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• W3123692611 abstract "Summary The objective of reservoir characterization is to understand the reservoir rocks and fluids through accurate measurements: in this context seismic inversion plays a dominant role in providing the structural framework and an estimation of rock properties. The advent of the Controlled-Source EM methodology, producing an estimate of the subsurface resistivity, brought the multiphysics data into the characterization workflow traditionally dominated by seismic and significantly enhanced the accuracy of the estimated rock and fluid properties. This work constitutes a first step towards the generalization of a framework that can exploit all the available geophysical measurements and properties for an improved understanding of reservoir uncertainties. We introduce two approaches to for the multigeophysical reservoir characterization: the first one is deterministic while the second is statistical. The two workflows have in common the rock-physics model that computes the geophysical properties from the petrophysical ones while they differ in the way the inversion step for the estimation of the reservoir properties from the observations is implemented. We evaluate the workflows on an offshore oil field where 3D seismic, 3D CSEM data and well logs are available." @default.
• W3123692611 created "2021-02-01" @default.
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• W3123692611 date "2020-01-01" @default.
• W3123692611 modified "2023-09-27" @default.
• W3123692611 title "Deterministic and Statistical Workflows for Multigeophysical Reservoir Characterization" @default.
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• W3123692611 doi "https://doi.org/10.3997/2214-4609.202011512" @default.
• W3123692611 hasPublicationYear "2020" @default.
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