LAPSE:2023.17888
Published Article
LAPSE:2023.17888
Pore-Scale Characterization and PNM Simulations of Multiphase Flow in Carbonate Rocks
Haiyang Zhang, Hamid Abderrahmane, Mohammed Al Kobaisi, Mohamed Sassi
March 7, 2023
Abstract
This paper deals with pore-scale two-phase flow simulations in carbonate rock using the pore network method (PNM). This method was used to determine the rock and flow properties of three different rock samples, such as porosity, capillary pressure, absolute permeabilities, and oil−water relative permeabilities. The pore network method was further used to determine the properties of rock matrices, such as pore size distribution, topological structure, aspect ratio, pore throat shape factor, connected porosity, total porosity, and absolute permeability. The predicted simulation for the network-connected porosity, total porosity, and absolute permeability agree well with those measured experimentally when the image resolution is appropriate to resolve the relevant pore and throat sizes. This paper also explores the effect of the wettability and fraction of oil-wet pores on relative permeabilities, both in uniform and mixed wet systems.
Keywords
digital rock physics, pore network modeling, rock properties, two-phase flow properties, wettability
Subject
Suggested Citation
Zhang H, Abderrahmane H, Al Kobaisi M, Sassi M. Pore-Scale Characterization and PNM Simulations of Multiphase Flow in Carbonate Rocks. (2023). LAPSE:2023.17888
Author Affiliations
Zhang H: Department of Petroleum Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
Abderrahmane H: Department of Mechanical Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates [ORCID]
Al Kobaisi M: Department of Petroleum Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates [ORCID]
Sassi M: Department of Petroleum Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
Journal Name
Energies
Volume
14
Issue
21
First Page
6897
Year
2021
Publication Date
2021-10-21
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14216897, Publication Type: Journal Article
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LAPSE:2023.17888
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https://doi.org/10.3390/en14216897
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