Integrated Reservoir Management From Seismic Field Development Planning - Study courses

Dette er studietilbudet for studieår 2020-2021.

Students will learn, get familiar, and apply the following concepts:

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

Knowledge

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.

The combination of models and measurements, in order to optimally estimate different parameters of interest and to improve the prediction capability of models, is named data assimilation. Different data-assimilation methods have been used for many years in geosciences and they are used operationally in fields like weather prediction, oceanography, air quality, and hydrology. In the area of reservoir engineering this approach is known as assisted history matching, since one searches for parameter values that allow the model simulations to match a history of observed data. The process of updating, or rather conditioning, the values of different uncertain parameters of the subsurface, using all available data, in order to obtain a match with the historical data, can be seen as a model calibration problem. The holy grail of the history-matching process is not only to obtain models that fit the data, but also models with improved predictability, to be able to generate accurate simulations of the future production. Thus, the logical approach is to use the updated models obtained from the history matching as input to a production-optimization process, in the larger framework of a field development or redevelopment plan. The combination of model-based optimization and assisted history matching is called closed-loop reservoir management and was introduced by Jansenet al, 2008. Students will learn about, get familiar with and will apply the following concepts:

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

None.

Exam

Portfolio evaluation and oral exam

	Weight	Duration	Mark	Supporting materials
Portfolio evaluation	3/10		A - F
Oral exam	7/10		A - F

The portfolio assessment consists of 4 course assignments counting 30% of the total grade.
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

The assignments will consist in working with a synthetic reservoir case using Matlab based reservoir simulator.

Open to

Admission to Single Courses at the Faculty of Science and Technology
Computational Engineering, Master's Degree Programme
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

Standard UiS protocol.

Literature

Litteratur/pensum blir publisert så snart det er klargjort av emneansvarlig/faglærer