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Xian-Huan Wen
Researcher at Chevron Corporation
Publications - 100
Citations - 3331
Xian-Huan Wen is an academic researcher from Chevron Corporation. The author has contributed to research in topics: Computer science & Reservoir simulation. The author has an hindex of 25, co-authored 91 publications receiving 3081 citations. Previous affiliations of Xian-Huan Wen include Polytechnic University of Valencia & Polytechnic University of Puerto Rico.
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Upscaling hydraulic conductivities in heterogeneous media: An overview
TL;DR: In this article, a grid of hydraulic conductivities is transformed into a coarser grid of block conductivity tensors amenable for input to a numerical flow simulator, which is called hydraulic conductivity upscaling.
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A coupled local-global upscaling approach for simulating flow in highly heterogeneous formations
TL;DR: In this paper, a new technique for generating coarse scale models of highly heterogeneous subsurface formations is developed and applied, which uses generic global coarse scale simulations to determine the boundary conditions for the local calculation of upscaled properties (permeability or transmissibility).
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To be or not to be multi-Gaussian? A reflection on stochastic hydrogeology
TL;DR: Three alternatives to a multi-Gaussian model, all sharing the same Gaussian histogram and the same covariance function, but with different continuity patterns for extreme values, were considered to model the spatial variability of log-conductivity.
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Geostatistical analysis of an experimental stratigraphy
TL;DR: In this paper, a high-resolution stratigraphic image of a flume-generated deposit was scaled up to sedimentary basin dimensions where a natural log hydraulic conductivity (ln(K)) was assigned to each pixel on the basis of gray scale and conductivity end-members.
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Computing Permeability of Fault Zones in Eolian Sandstone from Outcrop Measurements
TL;DR: In this article, the large-scale equivalent permeabilities of strike-slip faults in porous sandstone are computed from detailed field measurements, which can be used for any type of fault for which detailed structural and permeability data are available.