Please use this identifier to cite or link to this item:
|Title:||An integrated and quantitative approach to petrophysical heterogeneity|
|Authors:||Fitch, P. J. R.|
Lovell, Michael A.
Davies, S. J.
Harvey, P. K.
|Citation:||Fitch, P.J.R., Lovell, M.A., Davies, S.J., Pritchard, T., Harvey, P.K., An integrated and quantitative approach to petrophysical heterogeneity, Marine and Petroleum Geology (2015)|
|Abstract:||Exploration in anything but the simplest of reservoirs is commonly more challenging because of the intrinsic variability in rock properties and geological characteristics that occur at all scales of observation and measurement. This variability, which often leads to a degree of unpredictability, is commonly referred to as “heterogeneity”, but rarely is this term defined. Although it is widely stated that heterogeneities are poorly understood, researchers have started to investigate the quantification of various heterogeneities and the concept of heterogeneity as a scale-dependent descriptor in reservoir characterization. Based on a comprehensive literature review we define “heterogeneity” as the variability of an individual or combination of properties within a specified space and / or time, and at a specified scale. When investigating variability, the type of heterogeneity should be defined in terms of grain - pore components and the presence or absence of any dominant features (including sedimentological characteristics and fractures). Hierarchies of geologic heterogeneity can be used alongside an understanding of measurement principles and volumes of investigation to ensure we understand the variability in a dataset. Basic statistics can be used to characterise variability in a dataset, in terms of the amplitude and frequency of variations present. A better approach involves heterogeneity measures since these can provide a single value for quantifying the variability, and provide the ability to compare this variability between different datasets, tools / measurements, and reservoirs. We use synthetic and subsurface datasets to investigate the application of the Lorenz Coefficient, Dykstra-Parsons Coefficient and the coefficient of variation to petrophysical data – testing assumptions and refining classifications of heterogeneity based on these measures.|
|Embargo on file until:||23-Feb-2017|
|Rights:||NOTICE: this is the author’s version of a work that was accepted for publication in Marine and Petroleum Geology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Marine and Petroleum Geology (2015) DOI 10.1016/j.marpetgeo.2015.02.014|
|Appears in Collections:||Published Articles, Dept. of Geology|
Files in This Item:
|Fitch et al 2015 preprint.pdf||Pre-review (submitted draft)||5.25 MB||Adobe PDF||View/Open|
Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.