Personal Information

 Professor

Department of  Petroleum Geology and Sedimentology

Faculty of Earth Sciences

Contact Information

Phone: 6952321 Ext. 52321

Email: hnaji@kau.edu.sa

Hassan S. Naji

 Professor

Profile

  • Professor of Petroleum Engineering
  • Published a total of twenty three published papers locally and internationally. Plus many unpublished internal reports in the field of static & dynamic modeling of petroleum reservoirs.
  • He has been selected in the Marquis Who’s Who in Science and Engineering 2011-2012 edition as one of the Petroleum Engineers leading today’s scientific and technological revolution in his field of study and featuring personal and career engineer & educator.
  • Reviewer of local and international journals (KAU Journal – Earth Sciences, KACST, Elsevier International Journal of Science and Engineering).
  • Development Vice Dean for the Faculty of Earth Sciences for two periods (almost four years) in which he managed well three visits of the External Examiners for the Accreditation Programme.
  • Head of the Petroleum Geology and Sedimentology Department for three periods (almost six years). He successfully managed to open negotiations with Aramco and other service companies such as Schlumberger, Halliburton, Baker, and Geoservice, regarding student training and employment.
  • Member of the Permanent Committee of KAU Scientific Council Affairs.
  • He contributed in many local & international workshops for formulating the KAU Second Strategic Plan.
  • Member of the Executive Committee of the KAU Second Strategic Plan.
  • Member of the Follow-up Committee of the KAU Second Strategic Plan.
  • Member of many KAU & College committees.
  • He has an excellent reputation in receiving local & international delegates.
  • He led the signing memo between Aramco & the Faculty.
  • He led many official meetings between the Faculty & local oilfield companies to strengthen research and cooperation.
  • Visiting professor to OPEC, Vienna, Austria during 2004 for one and a half month.
  • He led the signing contract between the Faculty & Schlumberger for using 24 licenses of the Petrel Reservoir Modeling Software.
  • He got a wide experience in receiving and negotiating with International candidates.
  • He presented so many seminars on the School and Faculty levels.
  •  

Education

  • 1984

    Bachelor degree from petrolearthscinceas, king abdulaziz, جدة, المملكة العربية السعودية

  • 1989

    Master degree from Petroleum EngineeringPetroleum Engineering, Colorado School of Mines, Colorado, امــريــكـا

  • 1993

    Doctorate degree from Petroleum EngineeringPetroleum Engineering, Colorado School of Mines, Colorado, امــريــكـا

Employment

Research Interests

  1. Static Modeling of Petroleum Reservoirs – Building 3D Geological Models of Petroleum Reservoirs using Petrel (Schlumberger Trade Mark).
  2. Dynamic Modeling of Petroleum Reservoirs using Commercial Packages (Eclipse, FrontSim, etc.). As a matter of fact, I am an accomplished user of Schlumberger Petroleum Packages; e.g. Neuralog, Interactive Petrophysics, Petrel, and Eclipse Office.
  3. Mathematical modelling of petroleum reservoirs: fractured and conventional using finite-difference and control-volume finite-element discretization methods. I built two models for simulating fractured and conventional reservoirs: One is finite-difference and the other is control-volume finite-element. Both are black-oil, three-dimensional, two-phase.
  4. Grid generation and triangulation problems required for creating efficient triangular grids for use with finite-element-based simulators.
  5. Development of finite difference and finite element simulators and their applications to real-life problems.
  6. History matching.
  7. Well (vertical and horizontal) performance (IPR problems).
  8. Derivation and application of the stoichiometric equations that describe the thermal recovery process known as “In-Situ Combustion”. Analysis and management of dry combustion projects.
  9. Phase behavior of the petroleum fluids (gas, oil, and water), e.g. splitting and lumping C7+, flash calculations, and compositional studies of petroleum fractions.
  10. Formation Evaluation using Well Logs.
  11. I built a three-dimensional, 3-phase simulator for both fracture and conventional reservoirs using the C++ language. The simulator operates under MS Windows platform. It is a beta version. Needs little tweaking for commercial use.
  12. With deep experience in Windows programming, the following petroleum packages are considered  piece of cake:
  • Petrel for building static (3D geological) models. I supervised more than 10 BSC students who built static models for a real-life reservoir using North Sea Data. In addition, I supervised MSC students who made a full study of a petroleum reservoir from static to dynamic modelling using data of real life fields,
  • Eclipse for dynamic modelling of petroleum reservoirs. In fact, I have my own models (FD-based & CVFE-based); i.e. I know exactly the insides and outsides of it,
  • Interactive petrophysics for well log interpretations. I used to teach my students well logging using MS excel spreadsheet. This way, we build our own equations for lithology identification, porosity, permeability, fluid saturation calculations. All done in Excel (all sheets are available upon request). Thus when using IP, it is not used as a black box.
  • Neura packages for scanning and digitizing well logs. These packages are used to prepare well logs in LAS format for IP interpretation. In the old golden days, I used to use Summagraphics digitizers to convert logs to digital format for Excel sheets,
  • Many other packages.

Scientific interests

  1. Static Modeling of Petroleum Reservoirs – Building 3D Geological Models of Petroleum Reservoirs using Petrel (Schlumberger Trade Mark).
  2. Dynamic Modeling of Petroleum Reservoirs using Commercial Packages (Eclipse, FrontSim, etc.). As a matter of fact, I am an accomplished user of Schlumberger Petroleum Packages; e.g. Neuralog, Interactive Petrophysics, Petrel, and Eclipse Office.
  3. Mathematical modelling of petroleum reservoirs: fractured and conventional using finite-difference and control-volume finite-element discretization methods. I built two models for simulating fractured and conventional reservoirs: One is finite-difference and the other is control-volume finite-element. Both are black-oil, three-dimensional, two-phase.
  4. Grid generation and triangulation problems required for creating efficient triangular grids for use with finite-element-based simulators.
  5. Development of finite difference and finite element simulators and their applications to real-life problems.
  6. History matching.
  7. Well (vertical and horizontal) performance (IPR problems).
  8. Derivation and application of the stoichiometric equations that describe the thermal recovery process known as “In-Situ Combustion”. Analysis and management of dry combustion projects.
  9. Phase behavior of the petroleum fluids (gas, oil, and water), e.g. splitting and lumping C7+, flash calculations, and compositional studies of petroleum fractions.
  10. Formation Evaluation using Well Logs.
  11. I built a three-dimensional, 3-phase simulator for both fracture and conventional reservoirs using the C++ language. The simulator operates under MS Windows platform. It is a beta version. Needs little tweaking for commercial use.
  12. With deep experience in Windows programming, the following petroleum packages are considered  piece of cake:
  • Petrel for building static (3D geological) models. I supervised more than 10 BSC students who built static models for a real-life reservoir using North Sea Data. In addition, I supervised MSC students who made a full study of a petroleum reservoir from static to dynamic modelling using data of real life fields,
  • Eclipse for dynamic modelling of petroleum reservoirs. In fact, I have my own models (FD-based & CVFE-based); i.e. I know exactly the insides and outsides of it,
  • Interactive petrophysics for well log interpretations. I used to teach my students well logging using MS excel spreadsheet. This way, we build our own equations for lithology identification, porosity, permeability, fluid saturation calculations. All done in Excel (all sheets are available upon request). Thus when using IP, it is not used as a black box.
  • Neura packages for scanning and digitizing well logs. These packages are used to prepare well logs in LAS format for IP interpretation. In the old golden days, I used to use Summagraphics digitizers to convert logs to digital format for Excel sheets,
  • Many other packages.

Courses

443 443 EPS (Dynamic Modeling)
441 441 EPS
443 443 ESP(Static Modeling)

Areas of expertise