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By Terra 3E
Plug-in Attributes
France, EAR99
  • 2013
Supporting Documents
Installation Guide
Release Notes
Sirenn is a very powerful and flexible tool to build proxy models of reservoir simulators. The proxy models are developed using neural networks, a technique that has been expanding rapidly in petroleum engineering applications. Sirenn can be used for many applications, including: well-placement optimization, field development scheduling, history matching, and global optimization of oil production systems.
  • Allows bypassing time-consuming reservoir simulations
  • Can be very useful, particularly for inverse problems, sensitivity analysis and uncertainty analysis
  • Shows its superiority knowing that it is possible to build neural networks that are polynomials
  • Fully integrated in Petrel
  • Designs the optimized neural network of your problem (number of hidden layer, number of neuron by layer)
  • Fully parameterizable (number of hidden layer, number of neuron by layer, learning rate, etc.)
  • Accuracy can be controlled by the user
Sirenn allows bypassing time consuming reservoir simulations, while maintaining a good approximation of results. With Sirenn, you will be able to handle cases that could not be handled using directly reservoir simulators. Sirenn identifies the best neural network for your problem with the option "Optimal neural network".
Additional Information