Journal article
Feasibility of a data-constrained prediction of hydrocarbon reservoir sandstone microstructures
YS Yang, TE Gureyev, A Tulloh, MB Clennell, M Pervukhina
Measurement Science and Technology | IOP PUBLISHING LTD | Published : 2010
Abstract
Microstructures are critical for defining material characteristics such as permeability, mechanical, electrical and other physical properties. However, the available techniques for determining compositional microstructures through segmentation of x-ray computed tomography (CT) images are inadequate when there are finer structures than the CT spatial resolution, i.e. when there is more than one material in each voxel. This is the case for CT imaging of geomaterials characterized with submicron porosity and clay coating that control petrophysical properties of rock. This note outlines our data-constrained modelling (DCM) approach for prediction of compositional microstructures, and our investi..
View full abstractGrants
Funding Acknowledgements
The authors wish to thank Dr Ivan Cole, Dr Scott Furman, Dr Anthony Hughes, Dr Tim Muster, Dr Andrew Stevenson, Dr Maxim Lebedev and Dr Steve Wilkins for stimulating discussions. This work is sponsored by the CSIRO Computational and Simulation Science Transformational Capability Platform and the CSIRO Petroleum and Geothermal portfolio. Peter Austin from CSIRO Minerals obtained x-ray CT images of the sandstone sample. SEM images and petrophysical description of the sample were done by Dr Jean-Baptiste Peyaud.