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Ratnanabha Sain

Researcher at ExxonMobil

Publications -  19
Citations -  1093

Ratnanabha Sain is an academic researcher from ExxonMobil. The author has contributed to research in topics: Geology & Permeability (earth sciences). The author has an hindex of 7, co-authored 17 publications receiving 892 citations. Previous affiliations of Ratnanabha Sain include Stanford University.

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Journal ArticleDOI

Digital rock physics benchmarks-Part I: Imaging and segmentation

TL;DR: The goal is to explore and record the variability of the computed effective properties as a function of using different tools and workflows, and benchmarking is the topic of the two present companion papers.
Journal ArticleDOI

Digital rock physics benchmarks-part II: Computing effective properties

TL;DR: This analysis provides the DRP community with a range of possible outcomes which can be expected depending on the solver and its setup, and falls within the ranges consistent with the relevant laboratory data.
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Numerical simulation of pore-scale heterogeneity and its effects on elastic, electrical, and transport properties

TL;DR: In this article, acknowledgements and acknowledgements are given for the work presented in this article. ___________________________________________________________________________________________________________ ___________________________________________________________________________ Acknowledgements.................................................................................................................. ix
Proceedings ArticleDOI

Rock Property Inversion in Organic-Rich Shale: Uncertainties, Ambiguities, and Pitfalls

TL;DR: In this paper, the authors used the seismic measurements to estimate the acoustic impedance and Vp/Vs ratio of organic-rich shales, and the anisotropic elastic properties with varying degrees of measurement errors.
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How computational rock-physics tools can be used to simulate geologic processes, understand pore-scale heterogeneity, and refine theoretical models

TL;DR: In this article, a set of tools can be used to simulate geologic processes and interpret their signatures in the geophysical cross-property domain by computing macroscopic properties on a common or shared rock model.