CHE 5480
SIMULATION, OPTIMIZATION AND DECISION MAKING IN OIL AND GAS PROCESSING
SPRING 2009
School of Chemical, Biological and Materials Engineering
Instructor: Professor Miguel J. Bagajewicz
Email: Prof. Miguel Bagajewicz
Course Contents
Coverage may (and will likely) be
altered to accomodate to the time allotted as well as the need of the students.
Natural Gas
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Natural Gas. Composition of gases around the world. Consumption and production capacity. Origins
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Property prediction. Equations of State. Which ones to use. Vapor liquid equilibria. Solids. How to generate diagrams in Pro II.
- P-T diagrams. Compressibility. How to use the suimulator to obtain the graph. Viscosity and Thermal conductivity. Heating value- Use of simulator. Hydrates: Thermodynamic properties.
- Pipeline engineering. Pipeline networks. Planning models, flexible design and design under uncertainty. Use of dynamic models.
- Pipeline Operations. Use of dynamic simulation. Flow measurement.Leak detection Techniques.
- Gas Conditioning- Dehydration. Sweetening. Use of Molecular sieves.
- Gas conditioning using membranes.
- LNG production and receiving facilities.
- Other transportation metods. CNG- Coselle Ships. Mallinson way Transportation. Supergas. Use of Hydrates Production for Transportation.
- Sulfur disposal. Simulation of Claus plant. Other methods.
- Gas Plants. Energy Integration.
- Gas Power plants
- GTL. Flowsheets- Reactor Models, etc.
- Petrochemistry derived from natural gas
Crude Oil Processing
- Crude Units design and operations. Simulation.
- Heat Integration in Crude Units.
- Refinery Processes. Hydrotreating and Hydrodesulfurization. Alkylation. Isomerization. Visbreaking, etc.
- Blending.
Planning
- Drilling and Production Planning. Models
- Pipeline Construction an d expansion Planning Models
- Other Gas distribution planning Models.
Uncertainty and Financial Risk
- Principles of Designing under Uncertainty. Minimax Analysis. Decision trees.
- Financial Risk Management.
- Application to Gas and Oil processing facilities. Genetic Algorithms. Two stage Stochastic Programming.
Tools
- Simulator: Pro II.
- Genetic Algorithms
- Decision Trees
- Optimization Packages: GAMS
Office Hours
I have an open door policy.
Walk in my office every time you want and I will interrupt whatever I am doing.
In case you feel better having an appointment, arrange for one. Two important rules to talk to me:
1. Make sure you thought about the problem and have some analysis to offer together with your question
2. Make sure you can explain you problem or make the question in one-two sentences.
Textbook
No text book in the class. Material will be provided by the instructor.
Homework
Homework will be assigned as frequently as once a week.
Grading System
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Homework 15%
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Tests 45%
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Final Project 40%
The final project(s) will be assigned by the instructor. It could consist of
an individual project, a group project, or both, depending on the scope.
Students are welcome to propose projects.
Some Rules
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Late homework or reports loose their value exponentially. The time constant is
0.25/day.
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No makeup exams.
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Class attendance is required. Absences not justified carry a 10% penalty in the associated homework.
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Other rules may be added.
- Academic misconduct WILL NOT BE TOLERATED AND WILL BE REPORTED
Any student in this course who has a
disability that may prevent him or her from fully demonstrating his or her
abilities should contact the instructor personally
as soon as possible so accommodations necessary to ensure full
participation and facilitate his/her educational opportunities
are discussed.