- Closed Loop Reservoir Management
- Big Loop Model conditioning
- Multidisciplinary way of thinking
- Integrated workflows
The course will introduce an integrated reservoir management workflow that starts with seismic and ends with the field development planning.
Learning outcome
- Understand the essential parts/building blocks of the whole integrated reservoir management workflow
- Understand the links and the communication between these blocks
- Understand the importance of uncertainty quantification in each block.
Skills
- Be able to follow up the whole closed loop workflow
- Use the uncertainties concept
- Qualitative and quantitative uncertainty analysis
Competence
Students should be able to:
- Understand fundamentals of deterministic and stochastic inversion methodologies
- Implement these technologies in computer code
- Apply these concepts, get results and analyze them
- Write a report on their findings.
Contents
- Closed Loop Reservoir Management
- Big Loop Model conditioning
- Multidisciplinary way of thinking
- Integrated workflows
The course will introduce an integrated workflow that starts with seismic and ends with the field development planning.
Main topics
- Statistics fundamentals - Bayes theory
- Optimization fundamentals
- The integrated workflow: Seismic to geomodel and geomodel to robust optimization
- Synthetic case study (OPM + case study + Assisted History matching+ Optimization)
- Geophysics role in the integrated workflow
- Geology role in the integrated workflow
- Reservoir engineering role in the integrated workflow
Required prerequisite knowledge
Exam
Weight | Duration | Mark | Supporting materials | |
---|---|---|---|---|
Portfolio evaluation | 3/10 | A - F | ||
Oral exam | 7/10 | A - F |
Oral exam counts 70% of the total grade.
The sum of these two items gives the final grade.
If a student fails or want to improve the grade, she/he have to take the whole course again the following year.
Course teacher(s)
- Course coordinator
- Remus Gabriel Hanea
- Head of Department
- Alejandro Escalona Varela
Method of work
Open to
Petroleum Geosciences Engineering - Master of Science Degree Programme
Petroleum Engineering - Master of Science Degree Programme
Petroleum Engineering - Master`s Degree programme in Petroleum Engineering, 5 years
Course assessment
Literature
The Ensemble Kalman Filter in Reservoir Engineering-a Review, SPE JOURNAL 14(3):393-412 01 Sep 2009
Last updated: 11.12.2019