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Gerald Ekechukwu
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Well-scale demonstration of distributed pressure sensing using fiber-optic DAS and DTS
GK Ekechukwu, J Sharma
Scientific reports 11 (1), 12505, 2021
312021
The effect of wettability on waterflood oil recovery in carbonate rock samples: A systematic multi-scale experimental investigation
GK Ekechukwu, M Khishvand, W Kuang, M Piri, S Masalmeh
Transport in Porous Media 138 (2), 369-400, 2021
252021
Improved Method for the Estimation of Minimum Miscibility Pressure for Pure and Impure CO2–Crude Oil Systems Using Gaussian Process Machine Learning …
GK Ekechukwu, O Falode, OD Orodu
Journal of Energy Resources Technology 142 (12), 123003, 2020
112020
Novel mathematical correlation for accurate prediction of gas compressibility factor
GK Ekechukwu, OD Orodu
Natural Gas Industry B 6 (6), 629-638, 2019
102019
Long short-term memory-driven forecast of CO2 injection in porous media
GK Ekechukwu, R de Loubens, M Araya-Polo
Physics of Fluids 34 (5), 2022
62022
Fiber-Optic DAS and DTS for monitoring riser gas migration
J Sharma, O Santos, O Ogunsanwo, GK Ekechukwu, T Cuny, M Almeida, ...
Journal of Petroleum Science and Engineering 220, 111157, 2023
42023
Degradation Analysis of Single-mode and Multimode Fibers in a Full-scale Wellbore and its Impact on DAS and DTS Measurements
G Ekechukwu, J Sharma
IEEE Sensors Journal 23 (9), 9287-9300, 2023
22023
LSTM-driven Forecast of CO2 Injection in Porous Media
GK Ekechukwu, R de Loubens, M Araya-Polo
arXiv preprint arXiv:2203.05021, 2022
22022
A novel velocity band energy workflow for fiber-optic DAS interpretation and multiphase flow characterization
GK Ekechukwu, J Sharma, MJ William
Scientific Reports 13 (1), 15142, 2023
12023
Automated detection and quantification of gas influx velocity in wellbore from fiber-optic sensor data
GK Ekechukwu, J Sharma
Applied Industrial Spectroscopy, JTh6A. 11, 2021
12021
Explainable Machine-Learning-Based Prediction of Equivalent Circulating Density Using Surface-based Drilling Data
G Ekechukwu, A Adejumo
2024
Application of Distributed Fiber-optic Sensing for Pressure Predictions and Multiphase Flow Characterization
GK Ekechukwu
2022
Conventional and machine learning improved prediction of hydrocarbon density using volume-translation at high-pressure high-temperature conditions
KB Orodu, GK Ekechukwu, OD Orodu
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-14, 2021
2021
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