PetE 471
Enhanced Oil Recovery
Description
Classification of EOR methods, areal, vertical and volumetric sweep efficiencies, predictive models for immiscible displacement. Frontal advance theory and Buckley-Leverett-Weldge approach. Chemical (alkaline, polymer, surfactant, micellar injection) flooding. Miscible-immiscible gas (hydrocarbon and CO2) injection.Prerequisite: PET E 295 or PET E 373.
Learning Outcomes
Identify rock wettability and governing mechanisms for oil trapping.Examine and integrate reservoir rock-fluid properties and propose/screen enhanced oil recovery (EOR) method for oil recovery.
Interpret the governing mechanisms during various EOR methods and screening parameters of EOR methods.
Explain the concepts of capillary pressure and relative permeability and how they change for a particular EOR process.
Carry out water flood calculations for 1D, 2D and 3D reservoirs and estimate oil recovery.
Examine the influence of gravity segregation and predict oil recovery.
Explain the essentials of surfactant and polymer characteristics, ASP flood, micro emulsions.
Appreciate polymer and surfactant selection requirements/property assessment for optimal field performance.
Estimate minimum miscibility for gas injections, immiscible gas injection, CO2 injection.
Analyze historical EOR pilot/field performance, interpret performance results, derive analogy and lessons learned to integrate into future development strategies.
Develop design concepts of EOR (selection of proper method, estimation of recovery performance, cost analysis) as part of an open-ended design project.
Apply design procedures for developing EOR field pilot using real field operational parameters, suitable well patterns, various uncertainty criteria and optimization implementation strategies in an open-ended design project considering techno-economical assessment.
| Lecture | Seminar | Lab | Credits | Total AU |
|---|---|---|---|---|
| 3 | 0/1 | 0/1 | 3 | 37.8 |
| M % | NS % | CS % | ES % | ED % |
|---|---|---|---|---|
| 0 | 0 | 0 | 70 | 30 |
None defined
- A knowledge base for engineering
- Problem analysis
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Undergraduate Program(s)
| 2024/2025 - Winter - Pete-coop - Year 5 |
| 2024/2025 - Winter - Pete - Year 4 |
| 2023/2024 - Winter - Pete-coop - Year 5 |
| 2023/2024 - Winter - Pete - Year 4 |
| 2022/2023 - Winter - Pete-coop - Year 5 |
| 2022/2023 - Winter - Pete - Year 4 |
| 2021/2022 - Winter - Pete-coop - Year 5 |
| 2021/2022 - Winter - Pete - Year 4 |
| 2020/2021 - Winter - Pete-coop - Year 5 |
| 2020/2021 - Winter - Pete - Year 4 |
| 2019/2020 - Winter - Pete-coop - Year 5 |
| 2019/2020 - Winter - Pete - Year 4 |
Sections & Respective Instructors
| B1 - 2024/2025 - Winter - Tayfun Babadagli |
| B1 - 2023/2024 - Winter - Tayfun Babadagli |
| B1 - 2022/2023 - Winter - Tayfun Babadagli |
| B1 - 2021/2022 - Winter - Japan Trivedi |
| B1 - 2020/2021 - Winter - Japan Trivedi |
| B1 - 2019/2020 - Winter - Tayfun Babadagli |