COURSE OVERVIEW

This practical and highly-interactive course includes
various practical sessions and exercises. Theory learnt
will be applied using our state-of-the-art simulators.
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.