This course is designed to provide participants with a detailed and up-to-date overview of Petrel Uncertainty and Optimization. It covers the capabilities and applications of Petrel software for uncertainty management; the concepts of uncertainty in reservoir modeling; data importing at management for uncertainty analysis; the fundamental concepts and tools of geostatistics and probabilistic modeling; the basic uncertainty study in Petrel and effective ways to visualize uncertain data; the advanced geostatistical methods in Petrel, parametrization of uncertainty monte carlo simulations and handling spatial uncertainty; the uncertainty in porosity, permeability and saturation; and the perform dynamic data integration for uncertainty analysis.
During this interactive course, participants will learn the systematic techniques and best practices in calibrating static models with dynamic data; the sensitivity analysis and scenario evaluation, workflow optimization for history matching and reservoir optimization; the geomodels to reservoir simulation for optimization; the optimization algorithms in Petrel; the field development planning under uncertainty, economic aspects and optimization and advanced uncertainty analysis methods; the workflows for uncertainty and optimization; the risk management and decision making under uncertainty; the emerging technologies and future developments in Petrel; and the implement best practices for reporting and presentation of results.