Recovery of transport and geometrical properties of rock by statistical analysis of microtomographic images

Y. Bazaikin, B. Gurevich, T. Khachkova, D. R. Kolyukhin, M. Lebedev, V. V. Lisitsa, V. A. Tcheverda

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

We present numerical analysis of four microCT images of a Bentheimer outcrop sandstone sample acquired with different resolution. On the base of statistical analysis we show that the porosity and poretoskeleton distribution can be reliably obtained on samples of about 150 voxels with resolution coarser than 3 micrometers. In contrast, the statistically representative volume to determine complex properties such as permeability, tortuosity, or geometrical properties of the pore space may exceed 500 voxels and cannot be estimated reliably from conventional CT-scans. To overcome this difficulty we apply truncated Gaussian field technique for statistical simulation of images. We show that this technique allows to reproduce images with given porosity, pore-to-skeleton distribution, and permeability. However, geometrical properties of the simulated images do not match those of original CT-scans, and require higher-order statistics.

Язык оригиналаанглийский
Название основной публикации78th EAGE Conference and Exhibition 2016
Подзаголовок основной публикацииEfficient Use of Technology - Unlocking Potential
ИздательEuropean Association of Geoscientists and Engineers, EAGE
ISBN (электронное издание)9789462821859
DOI
СостояниеОпубликовано - июн 2016
Опубликовано для внешнего пользованияДа
Событие78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential - Vienna, Австрия
Продолжительность: 30 мая 20162 июн 2016

Серия публикаций

Название78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential

Конференция

Конференция78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential
СтранаАвстрия
ГородVienna
Период30.05.201602.06.2016

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