Instructor Led Technology Training in Austria - Training Resources

Bayesian Inference and Neural Networks in Formation Evaluation 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.  more...

Use of Neural Networks in Reservoir Characterisation 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 utilization is not common practice yet. Wherever statistics, best practice formulas and the meanwhile vast amount of data  more...

Streamline Simulation in Reservoir Engineering & Management Streamline simulation has become a powerful complementary tool to more traditional finite difference approaches for dynamic reservoir simulation. In some cases, streamline simulation can be considered an alternative, allowing to rapidly evaluating multiple geological and engineering scenarios for quick decision making. The objective of this course is to introduce practicing geoscientists to this  more...

Multiphase Flow Metering Over the last two decades the development, evaluation and use of Multiphase Flow Meters (MFM) systems has been a major focus for the Oil & Gas industry worldwide. Since the early 1990's, when the first commercial meters started to appear, there have been around 2, 000 field applications of MFM for field allocation, production optimisation and well testing. So far, many alternative metering systems  more...