Bayesian Inference and Neural Networks in Formation Evaluation

Course review:

This course will introduce the participants to the basic methods and techniques of modern Bayesian inference and Neural Network technology and their application in formation evaluation and reservoir characterisation. Bayesian inference allows dealing with complex problems in a conceptually simple and unified way. Neural Networks are an advanced tool for data mining due to their capability to learn and understand complicated data relationships. Typical applications will be covered including (missing) data generation, data QC, outlier detection, and model homogenisation. cVisionTM, a fully automatically working general purpose neural network software, will be used throughout the course and will be provided for all participants along with a 3 months evaluation license.

WHAT YOU WILL LEARN

• Principles of Bayesian statistics
• Principles of Neural Networks
• Relationship between Neural Networks and Bayesian inference
• Principles of classification
• Use of Bayesian statistics and Neural Networks