PE3512 Computational Petroleum Engineering Laboratory Syllabus:
PE3512 Computational Petroleum Engineering Laboratory Syllabus – Anna University Regulation 2021
OBJECTIVE:
To enhance the students to develop enrich practical knowledge on computational process simulator with different refinery operation.
To provide industrial working environment and practical working knowledge on different oil/gas upstream sectors
To give the students an understanding the fundamentals concepts in mathematics, problems solving and computer programming.
LIST OF EQUIPMENTS FOR A BATCH OF 30 STUDENTS:
Minimum10 experiments to be offered
Stand alone desktops/server with respective simulation software’s 30 users.
Software’s
MATLAB Single user license
Chemical engineering simulation software
process simulator software package – Petrochemical Engineering Suite Open source office
Modelling in Reservoir Characterization
LIST OF SUGGESTED EXERCISES
Practice the following using process simulator. The simulator can be used from Virtual Lab simulators:
1. Change the P & I values and process parameters and observe the change in trend, bar graph and mimics
2. Attend the malfunction occurring in the plant then restoring to its design conditions.
3. Perform the experiments using the simulator by varying the process variables and tabulate the results.
4. Practice correct start up and shut down procedure of plant.
Practice the above exercise on the following modules given below using process simulator.
Glass plant .
Refinery operations.
Fractionation column for the distillation of binary mixture.
shell and tube Heat exchanger
Level and flow control in different sizes of vessel
Centrifugal pump
Centrifugal compressor
Fluidized bed column
Packed bed column
Cyclone separator
Evaporator
Crude Distillation unit
Manufacture of urea in urea plant
5. Equations of state using Newton‘s method
6. Regression for parameter estimation using a set of data points
7. Equilibrium flash distillation (Multicomponent Ideal)
8. Solving a simple flow sheet by simultaneous approach
9. Simulation of batch Distillation (binary ideal).
10. Gravity Flow Tank
11. Heat Exchanger
12. Absorber
Specific examples in MATLAB/EXCEL / PROCESS SIMULATION SOFTWARE TOOL
1. Solving equation of state, regression of parameters using EXCEL/MATLAB
2. Calculation of Reynolds number, friction factor and pressure drop using EXCEL/MATLAB
3. Calculation of heat transfer coefficient in a Crude Heat Exchanger using EXCEL/MATLAB
4. Calculation ofminimumRefluxratioforbinary/tertiarysysteminafractionatorsusing EXCEL/ MATLAB
5. Calculation of HTU and NTU in a Absorber using EXCEL/MATLAB
6. Calculation of Antoine‘s coefficient using EXCEL/MATLAB
7. Estimation of settling velocity ofsolidsinliquidsusingStoke‘slawusingEXCEL/MATLAB
8. CalculationofminimumnumberofstagesinadistillationcolumnusingEXCEL/MATLAB
9. Solving mass and energy balance problems using EXCEL/MATLAB
10 Dynamic simulation of an Absorption column using PROCESS SIMULATION SOFTWARE TOOL
11. Developing Heat and Mass balance diagram using PROCESS SIMULATION SOFTWARE TOOL
OUTCOME:
CO1 : Remembering industrial exposure environment in computational pro-simulation.
CO2 : Understanding In-depth reservoir characterization
CO3: Applying project knowledge and Carry out In-house projects
CO4: Analyze Sound Fundamental Concepts of Process Control and safety with DCS Operations.
CO5: Evaluate the Intricacy & Complexity of process dynamics.
CO6: Create Employability opportunities in simulation models.
TOTAL: 45 PERIODS
REFERENCES:
1. Bequette.B.W, ―ProcessDynamics‖: Modeling, Analysis and Simulation,‖PrenticeHall(1998)
2. Himmelblau.D.M.andBischoff.K.B, ―ProcessAnalysisandSimulation‖, Wiley, 1988.
3. Strang.G.,‖Introduction to Linear Algebra‖, Cambridge Press, 4th edition, 2009.
4. William. Luyben, ―Process Modeling, simulation and control for Chemical Engineers, 2nd Edn., Mc Graw Hill International Editions, New York, 1990
5. Chapra.S.C. and Canale.R.P. ―Numerical Methods for Engineers ‖, McGraw Hill, 2001