Efficient deep-learning-based history matching for fluvial channel reservoirs

Engineering

• Autoencoder 100%
• Calibration Process 25%
• Component Analysis 50%
• Computational Cost 50%
• Convolutional Neural Network 100%
• Deep Learning Method 100%
• Denoising Autoencoders 50%
• Dimensionality 25%
• Input Data 25%
• Matching Method 25%
• Output Data 25%
• Perceptron 75%
• Principal Components 50%
• Prior Model 75%
• Production Data 50%

Earth and Planetary Sciences

• Principal Component Analysis 66%
• Production Data 66%
• Reservoir Simulation 33%
• Self Organizing Systems 100%