Model-based reservoir rock physics for improved understanding of compressible reservoirs: Applications and results from the Sandbox

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Presenter

Mark G. Kittridge
Principal and Manager
Quantitative Interpretation (Ql) Geophysics Occidental

Description

We describe a novel workflow for rock physics model development in high porosity (compressible) reservoir sands where seismic data are frequently used to identify reservoir presence, infer fluid type(s), and monitor dynamic (4D) reservoir behavior. We apply a stress dependent model that yields robust dry-rock moduli that is consistent with the mineral-based grain Poisson’s ratio. The workflow is data-driven and model-based and relies on the shear modulus for fluid independent model calibration, enabling a wide range of well-based interpretive workflows. Core data, including representative analog measurements, provide independent model calibration when available. We highlight applications using high-quality Gulf of America well data including model calibration, stress-dependent elastic properties, model-based shear log QC and forward modeling, well-based rock physics close-the-loop (CtL) and a clear example of time-lapse invasion affecting wellbore acoustic log data.