Computer Science
Process Optimization
100%
Convolutional Neural Network
100%
Ensemble Learning
100%
Prediction Accuracy
66%
Computational Cost
66%
Training Dataset
66%
Optimization Problem
33%
Approximation Algorithms
33%
Hypercube
33%
Search Space
33%
Optimization Framework
33%
Adaptive Learning
33%
Stochastic Approximation
33%
Pre-Trained CNN Model
33%
Case Study
33%
Starting Point
33%
Simulation Model
33%
Computational Efficiency
33%
Computation Time
33%
INIS
solutions
100%
learning
100%
optimization
100%
values
36%
datasets
36%
prediction
27%
constraints
27%
data
18%
applications
18%
cost
18%
accuracy
18%
approximations
9%
exploration
9%
algorithms
9%
modeling
9%
simulation
9%
efficiency
9%
space
9%
stochastic processes
9%
adjustments
9%
economics
9%
gas fields
9%
neural networks
9%
calculation methods
9%
sampling
9%
flexibility
9%
benchmarks
9%
perturbations
9%
eggs
9%
profits
9%
oil fields
9%
field operators
9%
well spacing
9%
Engineering
Surrogate Model
100%
Optimization Approach
25%
Data Point
25%
Computational Cost
25%
Simulation Model
12%
Computational Efficiency
12%
Well Spacing
12%
Field Development
12%
Computation Time
12%
Optimisation Problem
12%
Application Field
12%
Benchmark Case
12%
Convolutional Neural Network
12%
Latin-Hypercube Sampling
12%
Limitations
12%
Operational Problem
12%
Oil Field
12%
Starting Point
12%
Search Space
12%
Gas Field
12%