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Wenhui Song
Researcher at China University of Petroleum
Publications - 56
Citations - 1369
Wenhui Song is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Porous medium & Relative permeability. The author has an hindex of 14, co-authored 45 publications receiving 923 citations. Previous affiliations of Wenhui Song include University of Texas at Austin.
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New pore space characterization method of shale matrix formation by considering organic and inorganic pores
TL;DR: A digital core and a pore network model that could describe these two types of pores at the same time are constructed in this paper, which shows that the pore size distribution and the coordination number of a shale sample are analyzed.
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Apparent gas permeability in an organic-rich shale reservoir
TL;DR: In this article, a unified model of nanopore gas transport in shale gas reservoirs is presented, which considers the gas transport mechanisms of viscous flow, Knudsen diffusion, surface diffusion, adsorption and desorption.
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Dynamic Pore‐Scale Dissolution by CO 2 ‐Saturated Brine in Carbonates: Impact of Homogeneous Versus Fractured Versus Vuggy Pore Structure
Yongfei Yang,Li Yingwen,Jun Yao,Stefan Iglauer,Linda Luquot,Kai Zhang,Hai Sun,Lei Zhang,Wenhui Song,Zhiyu Wang +9 more
TL;DR: In this paper, the dissolution patterns of a homogeneous, a fractured, and a vuggy limestone were studied when flooded with CO2-saturated brine at representative storage conditions.
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Grand canonical Monte Carlo simulations of pore structure influence on methane adsorption in micro-porous carbons with applications to coal and shale systems
TL;DR: In this paper, the influence of pore structure on methane adsorption at temperature 318,K, 333,K and pressure up to 20 MPa was assessed by Grand canonical Monte Carlo simulations.
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Multiscale image-based fractal characteristic of shale pore structure with implication to accurate prediction of gas permeability
TL;DR: In this paper, the image-based fractal characteristic of shale pore structure at multiscale resolutions is investigated and its impact on the accurate prediction of gas permeability is analyzed.