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Okorie Ekwe Agwu

Universiti Teknologi Petronas

18H指数
64论文数
1.0K被引数
收录论文 19
发表时间
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A white-box machine learning model for predicting compressive strength of oilfield geopolymer cements用于预测油田地质聚合物水泥抗压强度的白盒机器学习模型
errResults in Engineering
IF7.9
err2026-09-15
err0
errOAAI
errOkorie Ekwe Agwu; Saad Alatefi; Muhammad Aslam Md Yusof; Nwode Agwu
err分享
err收藏
The Deployability Deficit in Machine Learning for CO₂–Brine Interfacial Tension: A Systematic Review and Validation Framework for Geological Carbon Storage机器学习在CO₂–盐水界面张力应用中的部署能力不足：地质碳储存的系统综述与验证框架
errCarbon Capture Science & Technology
IF10.5
err2026-07-27
err0
errOAAI
errDaniel Tosin Olagunju; Okorie Ekwe Agwu; Muhammad Aslam Md Yusof; Bright Sakyi Odame; Joshua Nsiah Turkson; Abdullah Sabiri
err分享
err收藏
Sargassum muticum–derived biopolymer as a sustainable rheology and filtration modifier for high-temperature water-based drilling fluids马尾藻属-衍生的生物聚合物作为高温水基钻井液的可持继流变性和滤失性改性剂
errSustainable Chemistry and Pharmacy
IF5.8
err2026-07-17
err0
PREAI
errPrecious Jumbo-Egwurugwu; Syahrir Ridha; Noridah Bt Osman; Okorie Ekwe Agwu; Muhammad Hammad Rasool; Shwetank Krishna
err分享
err收藏
Explainable white-box machine learning framework for estimating fugacity coefficient of pure CO2: Key to accurate CO2 storage analysis基于可解释的白盒机器学习框架的纯CO2逸度系数估算：CO2储存分析准确性的关键
errResults in Engineering
IF7.9
err2026-05-08
err0
errOAAI
errOkorie Ekwe Agwu; Saad Alatefi; Nwode Agwu; Ogbonnaya Agwu
err分享
err收藏
Explainable advanced modelling of interfacial tension in H2 – CO2 – CH4 – brine systems for sustainable subsurface storage in saline aquifer
errJournal of Contaminant Hydrology
IF4.4
err2025-12-24
err0
PREAI
errSaad Alatefi; Okorie Ekwe Agwu; Menad Nait Amar; Ahmad Alkouh
err分享
err收藏
The Effects of Brine on CCUS-EOR and Challenges Faced during CO2 Projects: A Review Involving Storage Mechanisms with Future Prospects
errACS OMEGA
IF4.3
err2025-12-01
err0
PREAI
errNgouangna, Eugene N.; Dzulkarnain, Iskandar B.; Jaafar, Mohd Zaidi; Norddin, M. N. A. M.; Oseh, Jeffrey O.; Wan Sulaiman, Wan Rosli; Afeez, Gbadamosi; Victor Ayodele, Bamidele; Agwu, Okorie E.; Mamah, Stanley C.; Ikechukwu Nwaichi, Peter; N. Ntone, Ellora Priscille; Agi, Augustine
err分享
err收藏
Predicting Drilling Mud Equivalent Circulating Density with Precision: A Critical Review of Modern Approaches精确预测钻井液当量循环密度：现代方法的重要综述
errPetroleum
IF3.5
err2025-11-28
err0
errOAAI
errOkorie Ekwe Agwu; Saad Alatefi; Muhammad Aslam Md Yusof; Cosmas Brendan Orun
err分享
err收藏
Predictive model for fouling estimation in heat exchangers during oil refining operations using an explainable neural network with Levenberg–Marquardt algorithm基于Levenberg–Marquardt算法的可解释神经网络在石油炼制操作期间用于换热器污垢估算的预测模型
errCase Studies in Thermal Engineering
IF6.4
err2025-11-26
err0
errOAAI
errOkorie Ekwe Agwu; Saad Alatefi; Ahmad Alkouh
err分享
err收藏
Comparative analysis of robust machine learning models for predicting CO2 uptake in porous liquids: Insights for environmental applications多孔液体中CO2吸收预测的鲁棒机器学习模型比较分析：环境应用启示
errApplied Soft Computing
IF6.6
err2025-11-24
err0
PREAI
errSaad Alatefi; Okorie Ekwe Agwu; Menad Nait Amar; Ahmad Alkouh
err分享
err收藏
Modeling CO2 adsorption capacity of diverse porous adsorbent materials: robust machine learning frameworks and insights from local and global explainable artificial intelligence模拟多种多孔吸附剂材料的CO2吸附容量：鲁棒机器学习框架及来自局部和全局可解释人工智能的见解
errAdsorption
IF0
err2025-11-02
err0
PREAI
errMenad Nait Amar; Saad Alatefi; Ahmad Alkouh; Okorie Ekwe Agwu
err分享
err收藏
Advancing hydrogen storage: Explainable machine learning models for predicting hydrogen uptake in metal-organic frameworks推进氢气存储：用于预测金属-有机框架氢气吸附的可解释机器学习模型
errResults in Engineering
IF7.9
err2025-09-15
err0
errOAAI
errSaad Alatefi; Okorie Ekwe Agwu; Menad Nait Amar; Ahmad Alkouh
err分享
err收藏
Accurate prediction of water activity in ionic liquid-based aqueous ternary solutions using advanced explainable artificial intelligence frameworks基于先进可解释人工智能框架对离子液体基水溶液三元体系中水活度的精确预测
errChemical Engineering Science
IF4.3
err2025-07-13
err0
PREAI
errSaad Alatefi; Menad Nait Amar; Okorie Ekwe Agwu; Ahmad Alkouh
err分享
err收藏
Modelling the future of cleaner energy: Explainable artificial intelligence model for green hydrogen production rate estimation模拟清洁能源的未来：用于绿色氢气生产率估计的可解释人工智能模型
errCleaner Engineering and Technology
IF6.5
err2025-06-28
err0
errOAAI
errOkorie Ekwe Agwu; Saad Alatefi; Ahmad Alkouh
err分享
err收藏
Toward explicit learning frameworks for predicting the solubility of CO2 – N2 gas mixtures in brine: Implication for impure CO2 storage in saline aquifers面向预测CO2–N2气体混合物在卤水中的溶解度的显式学习框架：对盐水层中不纯CO2储存的启示
errJournal of Contaminant Hydrology
IF4.4
err2025-06-26
err0
PREAI
errSaad Alatefi; Menad Nait Amar; Okorie Ekwe Agwu; Ahmad Alkouh
err分享
err收藏
Explicit and explainable artificial intelligent model for prediction of CO2 molecular diffusion coefficient in heavy crude oils and bitumen
errRESULTS IN ENGINEERING
IF7.9
err2024-12-01
err3
errOAAI
errAlatefi, Saad; Agwu, Okorie Ekwe; Alkouh, Ahmad
err分享
err收藏
Carbon capture using ionic liquids: An explicit data driven model for carbon (IV) Oxide solubility estimation使用离子液体进行碳捕获: 用于碳 (IV) 氧化物溶解度估算的显式数据驱动模型
errJOURNAL OF CLEANER PRODUCTION
IF10
err2024-09-01
err2
PREAI
errAgwu, Okorie Ekwe; Alatefi, Saad; Alkouh, Ahmad; Azim, Reda Abdel; Wee, Sia Chee
err分享
err收藏
Development of multiple explicit data-driven models for accurate prediction of CO 2 minimum miscibility pressure
errCHEMICAL ENGINEERING RESEARCH & DESIGN
IF3.9
err2024-05-01
err10
PREAI
errAlatefi, Saad; Agwu, Okorie Ekwe; Azim, Reda Abdel; Alkouh, Ahmad; Dzulkarnain, Iskandar
err分享
err收藏
Explicit Data-Based Model for Predicting Oil-Based Mud Viscosity at Downhole Conditions
errACS OMEGA
IF4.3
err2024-01-30
err7
errOAAI
errAlkouh, Ahmad; Elraies, Khaled; Agwu, Okorie Ekwe; Alatefi, Saad; Azim, Reda Abdel
err分享
err收藏
Rice husk and saw dust as filter loss control agents for water-based muds
errHELIYON
IF3.6
err2019-07-01
err27
errOAAI
errAgwu, Okorie E.; Akpabio, Julius U.; Archibong, Glory W.
err分享
err收藏

研究方向

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合作学者
合作期刊
A
Augustine Agi
H 指数: 38 · 论文数: 183
M
Menad Nait Amar
H 指数: 36 · 论文数: 150
J
Jeffrey O. Oseh
H 指数: 30 · 论文数: 95
B
Bamidele Victor Ayodele
H 指数: 30 · 论文数: 135
M
Mohd Zaidi Jaafar
H 指数: 26 · 论文数: 154
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