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Noelle E. Odling

Researcher at University of Leeds

Publications -  32
Citations -  2412

Noelle E. Odling is an academic researcher from University of Leeds. The author has contributed to research in topics: Aquifer & Fracture (geology). The author has an hindex of 16, co-authored 32 publications receiving 2109 citations. Previous affiliations of Noelle E. Odling include IBM.

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Scaling of fracture systems in geological media

TL;DR: In this paper, the authors provide guidelines for the accurate and practical estimation of exponents and fractal dimensions of natural fracture systems, including length, displacement and aperture power law exponents.
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Scaling and connectivity of joint systems in sandstones from western Norway

TL;DR: In this paper, the scaling properties of a joint system in Devonian sandstones in western Norway have been investigated using seven maps, covering areas from 18 to 720 m across, which were generated by mapping in the field and from low-level aerial photography taken from different heights.
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A statistical scaling model for fracture network geometry, with validation on a multiscale mapping of a joint network (Hornelen Basin, Norway)

TL;DR: In this paper, the authors propose a first-order model for the characterization of the number of fractures of a given length and at a given scale, and verify the applicability of this model on seven fracture patterns mapped from the metric scale up to almost the kilometric scale in the Hornelen basin.
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Network properties of a two-dimensional natural fracture pattern

TL;DR: The network properties of a two-dimensional natural pattern, mapped from the surface of a sandstone layer, are investigated and compared to those of realizations of spatially randomly distributed line segments with similar orientation and length distributions and line segment density to the natural pattern.
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Permeability scaling properties of fault damage zones in siliclastic rocks

TL;DR: In this paper, a three-dimensional statistical model of fault damage zone architecture, incorporating fault size, orientation and spatial characteristics observed in natural examples, is used with a two-dimensional discrete fault flow model to investigate fluid flow and up-scaling of permeability in fault damage zones with a permeability contrast between rock matrix and fault rock of four orders of magnitude.