Short Course: Ensemble based Decision Making in Reservoir Management and Field Development Planning

Short Course

Update (June 21st): instructions for the participants were sent to the e-mail address provided at registration. If you have not received this message, check your spam folder. For further inquiries, please reach us at

EPIC invites graduate students, researchers, and reservoir engineering professionals to the short course entitled “Ensemble based Decision Making in Reservoir Management and Field Development Planning“, to be taught by Prof. Remus Gabriel Hanea, leading advisor on Reservoir Technology at Equinor (Norway), and Prof. Bogdan Sebacher, associated professor at the Military Technical Academy  of Bucharest (Romania).

The course will be offered in English, between June 27th and 29th, 2022, at the School of Mechanical Engineering (FEM) of the University of Campinas (UNICAMP), in Campinas, Brazil.

Prof. Remus Gabriel Hanea is the leading advisor on Reservoir Technology, Assisted History Matching and Optimization/Decision Making in the Subsurface Discipline Excellence department in Equinor. His background is in Applied Mathematics, and he has 15 years of experience in Uncertainty Quantification, Data Assimilation and Optimization, and Decision Making with applications in Atmospheric sciences, Hydrology and in various Energy domains (mainly O&G). He also has a part time professorship position at theUniversity of Stavanger (Norway), in the Department of Petroleum Engineering, in the group of Petroleum Geoscience Engineering. Remus’s main research topics are: Assisted History Matching and Robust Optimization for Reservoir Management, Value of Information, Decision and Risk Analysis and Geostatistics. Remus teaches a specialized course for PhD and MSc students on Inverse Modeling, Data Assimilation and Optimization with applications in Reservoir Management, and supervises MSc and PhD students.

Prof. Bogdan Sebacher is Associate Professor at the Military Technical Academy of Bucharest (Romania).

Course Syllabus

Day 1

(June 27th. 2022)

Introduction to Reservoir Management and Data Assimilation

Morning Session (9:00am to 12:00pm)

  • Introduction to Reservoir Management and Field Development Planning – basic notions
  • Introduction to Data Assimilation and Decision Making/Optimization – basic notions
  • Models, Data, Uncertainties
  • Bayes Theorem
  • Kalman Filter

Afternoon Session (2:00pm to 5:00pm)

  • From Ensemble Kalman Filter (EnKF) to Ensemble Smoother Multiple Data Assimilation (ES-MDA) – the journey
  • Pros and Cons and practical implementations (case studies)
  • Ensemble validation and analysis, Quality assurance and the definition of success

Day 2

(June 28th. 2022)

Facies modeling and estimation

Morning Session (9:00am to 12:00pm)

  • Pluri-Gaussian approach
  • Adaptive Pluri-Gaussian Simulation (APS)
  • Probability cubes for facies distributions – Seismic and log data information

Afternoon Session (2:00pm to 5:00pm)

  • Multipoint Geostatistics (MPS) approach
  • Parameterization and estimation
  • Machine learning approaches

Day 3

(June 29th. 2022)

Decision Making/Optimization under geological uncertainties

Morning Session (9:00am to 12:00pm)

  • Robust/Ensemble Optimization
  • Basic concepts
  • Ensemble and stochastic gradient optimization approaches
  • Practical Implementations
  • Way forward – Structured decision making approach