[Skip to Content]
 
 
  • Departments
  • Quick Links
  • A-Z
 
  •  
  • My Account
  • Profiles
  • Webmail
  • About Us

    About Us

      1. About CU
      2. Mission
      3. Our Core Values
      4. Our History
      5. Inside Covenant
      6. Focus
      7. The Chancellor
      8. The Vice Chancellor
      9. The Registrar
      10. Chaplaincy
      1. Academic Affairs Office
      2. Centre for Systems and Information Services (CSIS)
      3. Media and Corporate Affairs Directorate
      4. Unique Programmes
      5. Student Affairs
      6. Campus Security
      7. Financial Services
      8. Community Impact
      9. Academic Planning
      10. Counselling Centre
      1. Covenant University Medical Centre
      2. Centre for Entrepreneurial Development Studies
      3. International Office and Linkages
  • Admissions

    Admissions

      1. Undergraduate Admission
      2. Postgraduate Admission
      3. Foreign Students Admission
  • Colleges

    Colleges

      1. College of Engineering
      2. College of Leadership and Development Studies
      3. College of Management and Social Sciences
      4. College of Science and Technology
      5. School of Postgraduate Studies
  • Library
  • News
  • Research
  • Covenant Journals
  • Covenant Documents
  • Conferences 2020
  • OER
  • Alumni
  • ICAI 2020
Well Deliverability Predictions of Gas Flow in Gas Condensate Resevroirs, Modelling Near-Critical Wellbore Problem of Two Phase Flow in 1-Dimension
  • Home
  • »
  • Profiles
  • »
  • Orodu Oyinkepreye David
  • »
  • Well Deliverability Predictions of Gas Flow in Gas Condensate...

Well Deliverability Predictions of Gas Flow in Gas Condensate Resevroirs, Modelling Near-Critical Wellbore Problem of Two Phase Flow in 1-Dimension

~ 7db262b359d367905c56aa99a5756874.200x200
Production of gases from gas-condensate reservoirs are known to bear certain challenges largely due to the formation of retrograde condensates that hinder gas flow. The drop out of this liquid creates flow regions that are characterized by the liquid saturation as it affects the mobility of the two phase flow, thereby preventing the effective modeling of well productivity. In this study, a...
 
Published at Brazilian Journal of Petroleum & Gas, 6(4): 159-169.
Published in 2012
 
Download 82.04 kB
 
 
 
Orodu, O. D., Ako, C. T., Makinde, F. A. and Owarume, M.
Orodu Oyinkepreye David » Oyinkepreye D. Orodu is a Professor of Petroleum Engineering and has varied Oil & Gas industry experience spanning field operations in pipeline integrity and academia. Preye holds a bachelor's degree in Chemical Engineering from the University of Port Harcourt; master's in Oil & Gas Engineering, the Robert Gordon University and a doctorate in Oil & Natural Gas Engineering, China University of... view full profile
Orodu Oyinkepreye David
 
Other publications by this author (view profile)
 
 
Performance of High Paraffin Reservoir under Non-Isothermal Waterflooding
 
Realistic Optimization of Well Length for Horizontal Drilling
 
Investment Decision and Profitability Analysis in an Upstream Petroleum
 
Optimal Well Utilization under Uncertainty for Naturally Depleted and Waterflooded Reservoir
 
Experimental Study of Darcy and Non-Darcy Flow in Porous Media
 
Risk Evaluation for Production-Injection Recompletion and Sidetrack
 
Cumulative production forecast of an oil will using simplified “Hyperbolic-Exponential” decline models
 
Prediction of Crude Oil Viscosity using Feed-Forward back-Propagation neural network (FFBPNN)
 
Influence and Sensitivity Study of Matrix Shrinkage and Swelling on Enhanced Coalbed Methane Production and CO2 Sequestration with Mixed Gas Injection
 
Sidetrack and recompletion risk evaluation — Waterflooded reservoir
 
Application of prediction models to performance of high paraffinic content oilfields: Case study Shen95 Block of Jinganbao Oilfield
 
Influence and sensitivity study of matrix shrinkage and swelling on enhanced coalbed methane production and CO2 sequestration with mixed gas injection
 
Prediction of crude oil viscosity using feed. Forward back-propagation neural network (FFBPNN)
 
Simulation Study on Waterflood Front: Block Hade of Tarim Oilfield in NorthWest China
 
Investigating the Carrying Capacity and the Effect of Drilling Cutting on Rheological Properties of Jatropha Oil Based Mud
 
Risk Assessment of Optimal Sidetrack Time
 
Education and Training: A sin qua non for Professionalism in the Oil and Gas Sector
 
Sidetrack/Recompletion Time Evaluation by Proxy Model
 
Hydraulic (Flow) Unit Determination and Permeability Prediction: A Case Study of Block Shen-95, Liaohe Oilfield, North-East China
  • ©2021 Covenant University | Sitemap | Contact Us
    •  
    •  
    •  
    •  
    •  
    •  
    •