Use of Neural Networks in Reservoir Characterisation (GG22)


DATE	LOCATION	FEES		REGISTRATION


Oct 19-21, 2010	Vienna, Austria		Course Fee: EUR 1815 plus VAT Computer Fee: EUR 250 plus VAT

Instructor

Rudolf K. Fruhwirth

Course Level: Basic

Neural networks find their archetype in nature and are a simplified imitation of the human brain. They are widely used for analysis and prediction purposes, particularly for financial services, the security industry and automotive industry. Within the oil and gas industry their utilisation is not common practice yet. Wherever statistics, best practice formulas and the meanwhile vast amount of data available provide results of limited to poor quality output, the neural network technology comes in handy.
With its capability to learn and understand relationships within data, far beyond the human ability to handle complexity, neural networks represent an ideal tool for data mining. They provide a more intuitive solution with good predictive accuracy to complicated problems.
Neural networks used to be a technology was applied by advanced users only. Due to the complicated setup and the high potential for introducing errors before their application, only experts were able to produce results within reasonable amounts of time and cost. But today software has advanced the technology to a state that every engineer or geoscientist can understand and utilise neural network technology within 3 days. And this is the goal of this short course.

WHAT YOU WILL LEARN

You will understand the basic theory of artificial intelligence and their most used components

You will understand the concept of neural networks and its theory behind

You will learn how to prepare and use your data for best results with neural networks

You will learn how to train neural networks, test them and validate the resulting models

You will learn how to avoid pitfalls, how to quality control your models, and how to apply tips and tricks with numerical and categorical data

At the end of the day you will be able to start working on your own data

OUTLINE
The course starts with a theoretical overview of the different AI components and their practical applications and will then explain the methodology of neural networks in detail.

Overview of AI Components:

Artificial intelligence/Computational intelligence

Neural networks - Artificial Neurons

Supervised and un-supervised learning and learning rules

Perceptrons & Artificial Brains

Algorithms and their technology behind

The second day will emphasise on the importance of all parameters for a successful application of neural networks with all its pitfalls, tips, and tricks, based on real world examples.

Problem Formulation

Feature Extraction

Optimal Design of neural networks

Training of Neural Networks

Testing and Validation

Prevention of Overtraining / Oversising

Quality control

The third day will allow all participants to work with neural networks on real data on selected examples. Participants are encouraged to provide their own data or their special area of interest 4 weeks ahead of the short course.

Creation of Synthetic Logs

Core Data Modelling form logs

Log-Interpretation

Formation Characterisation

Lithology

Feature extraction

Etc.

cVision^TM, 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.

WHO SHOULD ATTEND
Geophysicists, geologists, engineers and petrophysicists who want to learn how to use neural networks within 3 days and get a general understanding how trustworthy neural network technology is when used properly. There is no background required with neural networks, Basic Excel^TMskills and a general understanding for data usage are required.

COSTUMER FEEDBACK
"Very good course and above my expectations before."

"I benefited a lot and the course gave me a good vision."

"I liked the use of software and the good explanation of optimizing the neural network."

COURSE VENUE:

Vienna
Renaissance Vienna Hotel
Linke Wienzeile/Ullmannstr. 71
A-1150 Vienna
AUSTRIA

INSTRUCTOR

Rudolf K. Fruhwirth