Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14033
Title: A novel methodology for synthesizing the wetting capillary pressure curve of rocks through sorptivity data
Authors: Sarris, Ernestos 
Gravanis, Elias 
Ioannou, Ioannis 
Major Field of Science: Engineering and Technology
Field Category: Mechanical Engineering
Keywords: Back analysis;Capillary pressure curve;Finite element analysis;Sorptivity test;Synthetic reconstruction of wetting curve
Issue Date: 1-Sep-2019
Source: Journal of Petroleum Science and Engineering, 2019, vol. 180, pp. 413-423
Volume: 180
Start page: 413
End page: 423
Journal: Journal of Petroleum Science and Engineering 
Abstract: Capillary pressure as a function of moisture content is an essential element in the modelling of multiphase flow in porous media, such as rocks. The constitutive relationship predicting the capillary pressure as a function of fluid saturation in these materials has been the focus of many studies in the literature, as the direct experimental determination of the former is usually time-consuming and not quite straightforward, owing to the topologically complicated pore structure of rocks. In this paper, we perform a systematic analysis of the interrelation between capillary pressure curves (CPC)and the corresponding imbibition curves to evaluate the parameters influencing the entire diffusive process. The aim is the reconstruction of the wetting CPC from sorptivity test data through back analysis, within the framework of the Van Genuchten model. We perform numerical simulations with finite elements, using as input synthetic models of CPC with one, two and three degrees of freedom, the latter being the widely accepted Van Genuchten model. The effectiveness and the limitations of the different models used and the sensitivity of the imbibition curves to each degree of freedom are investigated and critically evaluated. The whole investigation is assisted by theoretical estimations of the sorptivity coefficient, as a function of the model parameters and the measured quantities. The results of our analysis provide not only a clarification of the aforementioned interrelation, but also a relatively simple procedure for reconstructing synthetically the wetting CPC.
ISSN: 09204105
DOI: 10.1016/j.petrol.2019.05.052
Rights: © Elsevier
Type: Article
Affiliation : University of Nicosia 
Cyprus University of Technology 
University of Cyprus 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

6
checked on Nov 6, 2023

WEB OF SCIENCETM
Citations

3
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s) 50

342
Last Week
0
Last month
3
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric


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