UTP Scholars: Dr Okorie Ekwe Agwu


Office Address
12-03-27
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:
Email: okorie.agwu@utp.edu.my
Scopus
Author ID
Document Count
33
Total Citations
626
h-Index
12
Co-authors
40
Google Scholar Citations
Author Profile URL
Citations
1,028
h-Index
16
Research Gate
Author Profile URL
Publications
35
Citations
811
Reads
26,923
Note: Updated as of Quarter 2, 2025 (May)

Course Teaching:
  • Drilling Engineering I.
  • Drilling Engineering II.

Research Project:
  • [1] Development of explainable machine learning models for estimating CO2 diffusivity in brines.
  • [2] Modelling the rate of green hydrogen production from Proton Exchange Membrane Electrolyzers using Explainable Machine Learning Algorithms.

Membership:
  • Society of Petroleum Engineers (SPE). Membership Number: 5767802.
  • Associate Member, Energy Institute. Membership Number: 0086104.

Industrial experience:
  • Field Engineer.
  • Universal Energy Drilling Ltd.Nigeria

Research Grant Evaluation:
  • STIRF Grant 2024:Development of an android based tool for estimating the flowing bottomhole pressure of oil and gas wells.
  • YUTP Grant 2025:CO2 storage in saline aquifers: an experimental and predictive analytics approach to estimating CO2-brine diffusion coefficient
Title:
Senior Lecturer

Department:

Specialization:
  • Carbon Capture Technologies
  • Drilling & Well Engineering
  • Machine Learning, Clean Energy - Hydrogen
  • Drilling & Well Engineering

Qualifications:
  • Bachelor of Engineering Degree (Hons)-Petroleum Engineering [First Class], Uyo, Nigeria.
  • Master of Science (MSc), degree in Petroleum engineering, Trondheim, Norway.
  • Doctor of Philosophy (PhD) in Petroleum Engineering, Uyo, Nigeria.

Other Information:

Short Biography:

Dr. Okorie Agwu holds BEng, MSc, and PhD degrees in Petroleum Engineering. He has 15 years experience of lecturing in universities in both Nigeria and Malaysia. His core specialization lies in drilling and well technology, with a particular focus on the application of machine learning algorithms for developing predictive models that improve well performance, drilling optimization, and fluid behaviour prediction. Dr. Agwu has a strong research interest in carbon capture and storage (CCS), hydrogen production technologies, and drilling fluid engineering.

He has supervised numerous undergraduate, master's, and PhD students, contributing significantly to capacity building in the energy sector. He has published over 40 technical papers in reputable Q1 and Q2 journals and presented his research at various international Society of Petroleum Engineers (SPE) conferences and workshops.Dr Agwu is an active peer reviewer for several high-impact journals. He has received multiple research grant awards both in Nigeria and Malaysia, reflecting the quality and relevance of his work.



Number of items: 2.

Arokiasamy, L. and Fujikawa, T. and Piaralal, S.K. and Arumugam, T. (2023) Role of HRM Practices in Organization Performance: A Survey Approach. International Journal of Sociotechnology and Knowledge Development, 16 (1). ISSN 19416253

Sa'adah, N. and Arokiasamy, L. (2023) A qualitative study on the urgency of attitude in designing effective procurement certification training. Journal of High Technology Management Research, 34 (2).

This list was generated on Fri Sep 12 16:08:24 2025 +08.