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Lookup NU author(s): Majid Goodarzi,
Dr Mohamed Rouainia,
Professor Andrew Aplin
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Wiley-Blackwell, 2017.
For re-use rights please refer to the publisher's terms and conditions.
Determination of the mechanical response of shales through experimental procedures is a practical challenge due to their heterogeneity and the practical difficulties of retrieving good quality core samples. Here, we investigate the possibility of using multi-scale homogenisation techniques to predict the macroscopic mechanical response of shales, based on quantitative mineralogical descriptions. We use the novel PeakForce Quantitative Nanomechanical Mapping (QNM) technique to generate high resolution mechanical images of shales, allowing the response of porous clay, organic matter and mineral inclusions to be measured at the nanoscale. These observations support some of the assumptions previously made in the use of homogenisation methods to estimate the elastic properties of shale, and also earlier estimates of the mechanical properties of organic matter. We evaluate the applicability of homogenisation techniques against measured elastic responses of organicrich shales, partly from published data and also from new indentation tests carried out in this work. Comparison of experimental values of the elastic constants of shale samples with those predicted by homogenisation methods showed that almost all predictions were within the standard deviation of experimental data. This suggests that the homogenisation approach is a useful way of estimating the elastic and mechanical properties of shales, in situations where conventional rock mechanics test data cannot be measured.
Author(s): Goodarzi M, Rouainia M, Aplin AC, Cubillas P, de Block M
Publication type: Article
Publication status: Published
Journal: Geophysical Prospecting
Print publication date: 01/11/2017
Online publication date: 24/01/2017
Acceptance date: 07/10/2016
Date deposited: 23/10/2016
ISSN (print): 0016-8025
ISSN (electronic): 1365-2478
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