Predicting Dynamic Contact Angle in Immiscible Fluid Displacement: A Machine Learning Approach for Subsurface Flow Applications-Reference-Cited by-同舟云学术

Predicting Dynamic Contact Angle in Immiscible Fluid Displacement: A Machine Learning Approach for Subsurface Flow Applications

Published:2024-02-27 Issue:5 Volume:38 Page:3635-3644
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Suetrong Nopparuj¹,Tosuai Teerapat²,Vo Thanh Hung³⁴,Chantapakul Watchanan⁵^ORCID,Tangparitkul Suparit²^ORCID,Promsuk Natthanan¹

Affiliation:

1. Department of Computer Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand

2. Department of Mining and Petroleum Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand

3. Laboratory for Computational Mechanics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City 70000, Viet Nam

4. Faculty of Mechanical - Electrical and Computer Engineering, School of Technology, Van Lang University, Ho Chi Minh City 70000, Viet Nam

5. Chiang Mai CCS, Chiang Mai University, Chiang Mai 50200, Thailand

Funder

Chiang Mai University

Murata Science Foundation

Ministry of Higher Education, Science, Research and Innovation, Thailand

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.3c04251

Reference54 articles.

1. Capillary-Dominated Fluid Displacement in Porous Media

2. Review of Flow through Porous Media as Applied to Head Loss in Water Filters

3. Pore-scale dynamics for underground porous media hydrogen storage

4. Pore-Scale Imaging and Analysis of Wettability Order, Trapping and Displacement in Three-Phase Flow in Porous Media with Various Wettabilities

5. Interfacial and Colloidal Forces Governing Oil Droplet Displacement: Implications for Enhanced Oil Recovery

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Relative Permeability-Dictated Huff-n-Puff Technique in Tight Reservoirs: Suitability and Limitation toward Field Implementation;Energy & Fuels;2024-05-15