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Works by Agwu, Okorie Ekwe

Results: 4

1

Artificial Intelligence Models for Flowing Bottomhole Pressure Estimation: State-of-the-Art and Proposed Future Research Directions.

Published in:

International Journal on Advanced Science, Engineering & Information Technology, 2024, v. 14, n. 6, p. 1868, doi. 10.18517/ijaseit.14.6.11982

By:

Okorie Ekwe Agwu;
Alatefi, Saad;
Alkouh, Ahmad;
Azim, Reda

Publication type:

Article

2

Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines.

Published in:

Journal of Petroleum Exploration & Production Technology, 2025, v. 15, n. 2, p. 1, doi. 10.1007/s13202-025-01933-9

By:

Agwu, Okorie Ekwe;
Alatefi, Saad;
Alkouh, Ahmad;
Suppiah, Raja Rajeswary

Publication type:

Article

3

Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps.

Published in:

Journal of Petroleum Exploration & Production Technology, 2024, v. 14, n. 5, p. 1205, doi. 10.1007/s13202-024-01761-3

By:

Agwu, Okorie Ekwe;
Alkouh, Ahmad;
Alatefi, Saad;
Azim, Reda Abdel;
Ferhadi, Razaq

Publication type:

Article

4

Frictional Pressure Loss Prediction in Symmetrical Pipes During Drilling Using Soft Computing Algorithms.

Published in:

Symmetry (20738994), 2025, v. 17, n. 2, p. 228, doi. 10.3390/sym17020228

By:

Agwu, Okorie Ekwe;
Wee, Sia Chee;
Akpabio, Moses Gideon

Publication type:

Article