By the end of this course, delegates will be able to:

• Understand how to have an integrated view of the hydrocarbon production system, identifying its uncertainties and opportunities
• Know the concept and elements of front-end-loading (FEL)
• Know the concept and elements of decision scenario optimization (DSO)
• Learn about integrated asset modeling (IAM)
• Identify the elements of a field development plan and production operations, and how the FEL methodology can be applied in real life projects
• Understand the drivers to execute such methodologies
• Understand the differences with integrated studies and reservoir characterization
• Identify the need for uncertainty analysis, correlation analysis, Tornado Charts, Montecarlo simulation, optimization, and optimization under uncertainty
• Use the basic techniques required

Geologists, Geophysicists, Reservoir Engineers, Production Engineers, Petro physicists, Petroleum Engineers, Drilling Engineers, Field Development Engineers, Managers, Asset Managers, Oil & Gas Engineers, Reservoir Operators, Surveillance Engineers, Technicians, Engineering Trainees, Technical Managers, Technical Assistants, Technicians, Chemists, Physicists, Technical Supervisors, Service Company Personnel responsible for improving the performance of petroleum reservoirs

• Introduction to field developing planning.
• What is field development? Field development processes and decisions.
• Optimization in field development.
• Petroleum field development risk and uncertainty.
• Uncertainty, processes impacting decision making.
• Inferential statistics: Histograms and Distributions.
• Risk analysis with Stochastic Simulations.
• Uncertainty quantification by stochastic simulation (Monte Carlo)
• Sensitivity diagrams vs. Tornado plot; risk vs. uncertainty.
• Front-End-Loading for field development.
• FEL (Front-End-Loading) concepts.
• FEL-Visualization & FEL-Conceptualization related tasks.
• Uncertainty processes impacting decision making (multidisciplinary approach)
• Decision Scenario Optimization (DSO)
• Uncertainty and decision making evaluation from integrated profit models.
• Exercises: optimal well number and location, optimal field development by IAM.
• History match.
• Uncertainty analysis and history match assisted by technology.

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.