120 0

Capillary pressure at irregularly shaped pore throats: Implications for water retention characteristics

Title
Capillary pressure at irregularly shaped pore throats: Implications for water retention characteristics
Author
장재원
Keywords
Capillary pressure; Irregular pore channel; Shape factor; Lattice Boltzmann simulation; Water retention curve
Issue Date
2017-09
Publisher
ELSEVIER SCI LTD
Citation
ADVANCES IN WATER RESOURCES, v. 110, page. 51-58
Abstract
random shapes of pore throats in geomaterials hinder accurate estimation of capillary pressure, and conventional pore network models that simply use the Young-Laplace equation assuming circular pore throats overestimate the capillary pressure. As a solution to this problem that does not complicate the pore network model or slow its implementation, we propose a new morphological analysis method to correlate the capillary pressure at an irregular pore channel with its cross-sectional geometry using lattice Boltzmann (LB) simulation and Mayer and Stowe-Princen theory. Geometry-based shape factors for pore throats are shown here to correlate strongly with the capillary pressure obtained by LB simulation. Water retention curves obtained by incorporating the morphological calibration into conventional pore network simulation and their correlative scheme agree well with experimental data. The suggested method is relevant to pore-scale processes such as geological CO2 sequestration, methane bubbling from wetlands, and enhanced carbon recovery.
URI
https://www.sciencedirect.com/science/article/pii/S0309170817304542?via%3Dihubhttps://repository.hanyang.ac.kr/handle/20.500.11754/115443
ISSN
0309-1708; 1872-9657
DOI
10.1016/j.advwatres.2017.09.025
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > CIVIL AND ENVIRONMENTAL ENGINEERING(건설환경공학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE