Engr. Dr Ugochukwu Ilozurike Duru

Senior Lecturer (Head of Department)

B Eng., M Eng., PhD.

E-mail: ugochukwu.duru@futo.edu.ng

Scopus ID: 35118861100
https://orcid.org/0000-0001-7920-804

‪Ugochukwu Ilozurike DURU‬ – ‪Google Scholar

Ugochukwu Ilozurike Duru (researchgate.net)

Profile

My research activities centre on fluid flow in Oil and Gas field operations. Fluid flow is experienced in drilling fluid circulation and oil & gas production.

My research interest is to ensure that the drilling fluid flows efficiently, which will result in a wellbore that is thoroughly cleaned. This will allow us to achieve the desired rate of penetration (ROP) while also reducing the overall cost of drilling. Additionally, I aim to predict the characteristics of multiphase flow in order to optimize oil and gas production and determine the appropriate size for surface production facilities.

Recently, we identified sources of error in multiphase flow characteristics prediction tools. We are now working on using Artificial Intelligence to close the gap and minimize the error being experienced in order to optimize oil & gas production.

In addition, I am collaborating with Applied Mathematics groups to mathematically model the design of Artificial Lift, with a particular focus on Gas Lift. By doing so, we can optimize production by determining the most suitable depth for the Gas Lift valve.

I actively participate in teaching and mentoring young Engineers to develop adequate technical skills to solve oil and gas field challenges.

Academic Qualifications

  • PhD
  • M Eng.
  • B Eng.

HONOURS:

 

WORKSHOP & CONFERENCES:

He has attended workshops and conferences over the years.

TEACHING & PROFESSIONAL  EXPERIENCE: 

Academic Class Adviser, Project Coordinator

Research Interest

Production, Reservoir and  Gas Engineering.

PUBLICATION: 

  1. A CFD Validation Effect of YP/PV from Laboratory-Formulated SBMDIF for Productive Transport Load to the Surface. Symmetry 2022. https://doi.org/10.3390/ sym14112300
  2. An artificial neural network visible mathematical model for real-time prediction of multiphase flowing bottom-hole pressure in wellbores. Petroleum Research 2022. https://doi.org/10.1016/j.ptlrs.2022.10.004
  3. Applications and theoretical perspectives of artificial intelligence in the rate of penetration. Petroleum 2020. https://doi.org/10.1016/j.petlm.2020.08.004
  4. Computational Analysis for Optimum Multiphase Flowing Bottom-Hole Pressure Prediction. Transylvanian Review
  5. Comparison and performance Analysis of Models for Predicting Multiphase flow Behaviours in Wellbores. International Journal of Petroleum and Geoscience Engineering. Article ID : IJPGE-2205292112788
  6. Experimental Evaluation of Locally Synthesized Biodiesel Drilling Fluid. Rudarsko-geološko-naftni zbornik.
  7. Quantitative Risk Assessment of the Effect of Sand on Multiphase Flow in a Pipeline. Rudarsko-geološko-naftni zbornik.
  8. Evaluating Lift Systems for Oil Wells Using Integrated Production Modeling: A Case Study of A Niger Delta Field. DOI (Journal): 10.37591/JoPET
  9. Development of proxy model for production forecast using adaptive neuro-fuzzy inference system and experimental design. Int. J. Petroleum Engineering, Vol. 1, No. 3, 2015.
  10. Influence of Metakaolin and nano-clay on compressive strength and thickening time of class G oil well cement. Songklanakarin J. Sci. Technol. 43 (1), 118-126, Jan. – Feb. 2021.