A multi-solution framework for well placement optimization using ensemble of convolutional neural networks

Earth and Planetary Sciences

• Optimization 100%
• Model 100%
• Network 100%
• Prediction 75%
• Reservoir 50%
• Datum 50%
• Value 50%
• Data Set 50%
• Accuracy 50%
• Show 25%
• Learning 25%
• Sampling 25%
• Spacing 25%
• Cost 25%
• Perturbation 25%
• Position (Location) 25%
• Calculation 25%
• Initial Training 25%
• Strategy 25%
• Algorithms 25%
• Investigation 25%
• Boundary 25%
• Constraint 25%
• Quality 25%
• Substitute 25%

Computer Science

• Models 100%
• Convolutional Neural Network 100%
• Optimization 100%
• Prediction Accuracy 50%
• Convolutional Neural Network 50%
• Process Optimization 50%
• Approximation Algorithms 25%
• Adaptive Learning 25%
• Training Dataset 25%
• Stochastic Approximation 25%
• Optimization Framework 25%
• Computation Time 25%
• Starting Point 25%
• Optimal Solution 25%
• Procedures 25%
• Computational Cost 25%

Engineering

• Well Spacing 25%