Evaluation of artificial neural networks for the prediction of deep reservoir temperatures using the gas-phase composition of geothermal fluids.
Daniel Pérez-ZárateEdgar SantoyoA. Acevedo-AnicasioLorena Díaz-GonzálezC. García-LópezPublished in: Comput. Geosci. (2019)
Keyphrases
- artificial neural networks
- genetic algorithm
- prediction accuracy
- ann models
- using artificial neural networks
- evaluation model
- computational intelligence
- neural network model
- predictive model
- evolutionary artificial neural networks
- oil field
- feed forward
- data sets
- multilayer perceptron
- prediction error
- evaluation method
- prediction model
- short term
- back propagation
- machine learning