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J.C.S. Long

Researcher at Lawrence Berkeley National Laboratory

Publications -  13
Citations -  810

J.C.S. Long is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Fluid dynamics & Fracture (geology). The author has an hindex of 9, co-authored 13 publications receiving 784 citations.

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The relationship of the degree of interconnection to permeability in fracture networks

TL;DR: In this paper, the authors examined the effect of the degree of interconnection between fracture sets and the heterogeneity of individual fracture characteristics on the magnitude and nature of the fracture permeability.
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A Model for Steady Fluid Flow in Random Three‐Dimensional Networks of Disc‐Shaped Fractures

TL;DR: In this article, a model for steady fluid flow in three-dimensional, random networks of fractures has been developed, where fractures are disc shaped discontinuities in an impermeable matrix.
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Analytical models of slug tests

TL;DR: In this paper, the authors developed solutions to various models of slug tests that may be applicable in analyzing the results of such tests where existing solutions are inadequate, including linear flow, radial flow with boundaries, two layer, and concentric composite models with different flow geometries between the inner and outer regions.
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An inverse technique for developing models for fluid flow in fracture systems using simulated annealing

TL;DR: In this article, the authors developed a new type of fracture hydrology model called an equivalent discontinuum model, which represents the discontinuous nature of the problem through flow on a partially filled lattice.
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Detailed Characterization of a Fractured Limestone Formation by Use of Stochastic Inverse Approaches

TL;DR: In this article, two inverse approaches to fracture-flow models and their application in characterizing a fractured limestone formation are discussed. But the authors do not consider the hydrologic data in deriving the fracture networks and thus naturally emphasize the underlying features that impact fluid flow and transport.