Pore space characterization method of shale matrix formation based on superposed digital rock and pore-network model

Hygric properties can be estimated directly from pore structure information, represented by a network of regularly shaped pores, extracted from a pore structure image to conserve the real topology. On this network, pore-scale models of moisture behaviour determine the hygric properties of moisture storage and transport. The reliability of this approach is validated with a sintered-glass filter. Despite its more limited heterogeneity and pore size range relative to typical porous building materials, it provides a good basis for validating crucial pore-scale moisture processes. Measured storage data compare well to the estimated ad- and desorption moisture retention curves as well as to the saturated and capillary moisture content. Furthermore, the simulated whole-range moisture permeability curve agrees acceptably with measured data. The variation in modelling the pore space as a pore network model is also analysed by considering two distinct pore network extraction methods. The measured and simulated moisture contents agree well for the whole capillary range. Moreover, the resulting transport properties are generally accurate for the whole moisture content range. On the other hand, the estimated vapour permeabilities show notable variations between the two pore network models.

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Use of Micro-CT Images to Reconstruct Porous Media for Pore Network Model

ASME 2010 8th International Conference on Nanochannels, Microchannels, and Minichannels: Parts A and B ◽

10.1115/fedsm-icnmm2010-30308 ◽

2010 ◽

Author(s):

Bijoyendra Bera ◽

Sushanta K. Mitra

Keyword(s):

Network Model ◽

Pore Space ◽

Pore Network ◽

Ct Images ◽

Core Sample ◽

Pore Network Model ◽

Phase Flow ◽

Micro Ct ◽

Model Calculations ◽

Rock Structure

The present study is an investigation on the multi-phase flow, specifically oil-water phase flow inside an oil-reservoir using pore network modeling. Pore network model can be effectively used in understanding the transport process of the multiphase flow within the pores of oil reservoirs, which are typically in the range of 2–5 μm. Pore network model consists of two main components: the description of the pore geometry inside a porous rock material and the simulation of micro-scale processes to calculate various fluid flow properties. In the present study, the realistic description of the pore space is obtained using a Berea Sandstone Core sample. A small core of suitable dimension of this core sample is extracted and micro CT images of this sample are taken at a resolution of 2.1 m. Series of images are obtained in the form of cross-sectional view of individual layers as well as its two-dimensional reconstructions. These images are processed to reveal the exact positions of the void and solid spaces inside the rock-structure according to the pixel-distribution. Maximal ball algorithm is chosen and its extended form is applied to the image data to give the three dimensional reconstruction of the rock sample. In the 3D reconstruction, pores and throats are defined separately in a deterministic way. Thus, realistic complete network is possible to extract from high-resolution micro CT images, instead working with an equi-spaced pore throat system, normally used for such modeling. Pore network model calculations of the physical properties are easier to apply on the well-defined network and the property values such as permeability or capillary pressure are matched well against the experimental data.

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Three-dimensional pore network model of biofilter treating toluene: A study of the effect of the pore space morphology

Chemical Engineering Science ◽

10.1016/j.ces.2010.02.022 ◽

2010 ◽

Vol 65 (10) ◽

pp. 3293-3300 ◽

Cited By ~ 3

Author(s):

Farzad Jani ◽

Mitra Dadvar

Keyword(s):

Network Model ◽

Pore Space ◽

Three Dimensional ◽

Pore Network ◽

Pore Network Model

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Towards stochastic generation of 3D pore network models of building materials

MATEC Web of Conferences ◽

10.1051/matecconf/201928202022 ◽

2019 ◽

Vol 282 ◽

pp. 02022

Author(s):

Steven Claes ◽

Hans Janssen

Keyword(s):

Network Model ◽

Building Material ◽

Building Materials ◽

Pore Space ◽

Pore Network ◽

Attractive Alternative ◽

Pore Network Model ◽

Pore Scale ◽

Structure Information ◽

Hygric Properties

Pore-scale-based prediction of the hygric properties of porous building materials is on the rise as an attractive alternative for the current experimental procedure. Pore-scale simulations do however require a complete pore network model for the building material. With the currently available characterization techniques, such complete pore network model cannot be established, instead typically fragmented direct (pores sizes, shapes, positions, connections, …) or indirect (pore size distribution, pore surface area, …) information is obtained. The aim of this paper is to present stochastic pore network generation, wherein the fragmented pore structure information is used to generate a complete pore network for the building material involved. The novelty of our approach lies in the generation of a PNM by matching the distributions of direct parameters as well as indirect parameters of the input data and the model. Additionally, the position of the pores are no longer bound to a cubic lattice. This workflow will first be tested on a single scale material with a relatively straightforward pore space such as sintered glass. Finally, the hygric properties of the generated network will be compared to the measured properties of the real material as a validation step.

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