PETE444 MATH.MODELLING OF HYDROCARBON RESERVOI
Course Code: | 5660444 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 5.0 |
Department: | Petroleum and Natural Gas Engineering |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | Assoc.Prof.Dr. ÇAĞLAR SINAYUÇ |
Offered Semester: | Fall Semesters. |
Course Objectives
By the end of the course the students will know how to model fluid flow in petroleum reservoirs.
Course Content
Basic principles of mathematical modeling. Finite difference/finite element form of equations that govern single and multiphase flow through porous media. Characteristics of finite difference/finite element equations. Solution strategy techniques of originating matrix problems. Data evaluation in simulation problems. Case studies.
Course Learning Outcomes
Student, who passed the course satisfactorily will be able to:
- understand the numerical solution of flow in porous media equations
- understand the finite difference approximation methods to linear flow equations
- understand the effect of gravity on the flow modelling
- initialize the simulation model
- understand the disretization in time and space
- represent wells in the mathematical model
- understand the effect of multi phases in reservoir simulation
Program Outcomes Matrix
Contribution | |||||
# | Program Outcomes | No | Yes | ||
1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
3 | An ability to communicate effectively with a range of audiences | ✔ | |||
4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgements, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ |