2015 Summer Short Course: Fundamentals of Reservoir Simulation
Instructors: Khalid Aziz, Lou Durlofsky & Hamdi Tchelepi
Sponsoring programs: SUPRI-B, Smart Fields Consortium
This course will cover both fundamentals and selected advanced topics in reservoir simulation.
It is intended for simulation developers and users who wish to strengthen their understanding of the fundamentals of this technology. The emphasis of the course is on the mathematical description and physical understanding of the underlying equations. Though the emphasis of the course is not on the actual use of a simulator, the practical implications of many of the concepts will be discussed. The course is not credited to a Stanford University degree.
- Conservation of mass, momentum and energy
- Single-phase and multiphase flows
- Black-oil, compositional and fractured systems
- Discretization and gridding, stability and time step control
- Solution of linear equations
- Implicit and explicit solutions
- Modeling vertical and horizontal wells
- Streamline simulators
WHO SHOULD ATTEND
This course is designed for the petroleum engineer or geoscientist who is familiar with basic reservoir engineering and has some experience with the use of reservoir simulators, but is interested in acquiring a stronger understanding of the fundamentals. Some knowledge of numerical methods would be helpful.
*Since the course is intended for practicing engineers, we only accept students if seats are available after the registration deadline.
Khalid Aziz is a Professor of Energy Resources Engineering. He holds engineering degrees from University of Michigan, University of Alberta and from Rice University. He has published over 100 papers, two books and a monograph.
Lou Durlofsky is a Professor of Energy Resources Engineering. He holds a PhD degree in Chemical Engineering from MIT and has worked in reservoir simulation related R&D since 1987.
Hamdi Tchelepi, Professor of Energy Resources Engineering, has a Ph.D. degree in Petroleum Engineering from Stanford University and joined the department in 2003 after 10 years of simulation R&D in the industry.
Attendees will be responsible for their own travel and accommodation arrangements and expenses.
• Stanford Visitor Information for maps, airports, and driving/transportation information.
• Stanford Campus Map
• Lodging Guide for hotel information in the area
HOW TO REGISTER
• Go to Registration Form
• Course fee: US$4,000
• The class size is limited. Registration will be treated on a first come, first served basis.