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Provided by: HOT Engineering Use of Neural Networks in Reservoir CharacterisationPetroleum Engineering |
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Training
Provided by HOT Engineering
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 available provide results of limited to poor quality output, the neural network technology comes in handy.
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Use of Neural Networks in Reservoir Characterisation Seminar Schedule
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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 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 to get more out of the data. They provide a more intuitive solution with good predictive accuracy to complicated problems.
Neural networks used to be a technology to be 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 utilize neural network technology within 3 days. And this is the goal of this short course.
With its capability to learn and understand relationships within data, far beyond the human ability to handle complexity, neural networks represent an ideal tool to get more out of the data. They provide a more intuitive solution with good predictive accuracy to complicated problems.
Neural networks used to be a technology to be 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 utilize neural network technology within 3 days. And this is the goal of this short course.
About The Training Provider: HOT Engineering
HOT Engineering - HOT Engineering (www. hoteng. com) a company headquartered in Austria, offers exploration and field development services and E&P training services to the petroleum industry worldwide. With more than 20 years of consulting experience, we are one of the leading providers of advanced and integrated geological, geophysical, petrophysical and reservoir and production engineering technology.
