Course Objectives

• Provide a step-by-step guide to Agent Based Simulation techniques and software available
• Understand the ways to simulate entire processes and update them using real life data
• Learn Agent-based, system dynamic, and discrete event modeling
• Acquire the knowledge of Any Logic simulation software for process analysis and optimization
• Implementation of the optimum values of parameters in the production system
• Get the hands-on examples already implemented, their experiences and limitations

Course Outlines

• Petroleum production optimization techniques and new developments regarding Big Data use
• Differences between Agent Based, System Dynamic and Discrete Event Modelling
• Use of Any Logic software that incorporates and combines all simulation techniques
• Using Any Logic simulation software for process analysis and optimization
• Implementation of the optimum values of parameters in the production system
• How to harness the power of data acquisition and process simulation for production planning
• Incorporate the behavior of machines, fluids and people in the simulation
• How to incorporate worker performance into the simulation models
• Define possible interruptions and evaluate the mitigation scenarios
• Steps to apply simulation into FEED engineering through the whole project life                    

Who Can Benefit?

• Petroleum engineers
• Data Scientists
• Project managers
• Senior and Middle Managers
• Optimization professionals
• FEED engineers
• Board level executives and non-executives
• Consultants in Data Science, Optimization and Petroleum Engineering