Home LiteratureArticle Details
PMID: 41501346 Published · aheadofprint English Journal Article

Hybrid CFD and machine learning analysis of CO2 enhanced oil recovery in naturally fractured reservoirs.

Scientific reports ·2026-01-07

Asim T, Ur Rahman K, Kukha Hawez H, Mishra R

Abstract

暂无摘要

Keywords
CO2 geosequestration Computational fluid dynamics (CFD) Discrete fracture model (DFM) Enhanced oil recovery (EOR) Extreme gradient boosting (XGBoost) Gaussian process regression (GPR) Machine learning (ML) Naturally fractured reservoirs
作者与单位
共 4 位作者，点击展开单位 / ORCID
Asim Taimoor
School of Computing, Engineering and Technology, Robert Gordon University, Aberdeen, UK. [email protected].
Ur Rahman Khaliq
School of Computing, Engineering and Technology, Robert Gordon University, Aberdeen, UK.
Kukha Hawez Haval
Department of Chemical Engineering, Faculty of Engineering, Koya University, Kurdistan Region - F.R, Koya, KOY45, Iraq.
Mishra Rakesh
School of Computing and Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
DOI
10.1038/s41598-025-34786-7
Corresponding email
[email protected]
Published
2026-01-07
电子出版
2026-00-07
Language
English
Country/Region
England
NLM ID
101563288
External Links
PubMed source DOI: 10.1038/s41598-025-34786-7 View journal details
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]

Copyright © 2026.Genelibs Jinan Honghui Biotechnology Co., Ltd. 鲁ICP备20007159号-2