Machine Learning Theory

Machine Learning Theory

A topology-based single-pool decomposition framework for large-scale global optimization

2023-01-24

Prediction of Field Saturations Using a Fully Convolutional Network Surrogate

2023-01-24

Nonlinear constrained production optimization based on augmented Lagrangian function and stochastic gradient

2023-01-24

A two-stage efficient history matching procedure of non-Gaussian fields

2023-01-24

An Interpretable Interflow Simulated Graph Neural Network for Reservoir Connectivity Analysis

2023-01-24

Research status and prospect of big data and intelligent optimization theory and method in intelligent oilfield development

2023-01-24

Starting pressure and interzonal interference of multizone combined production reservoir

2023-01-24

Smart Well Pattern Optimization Using Gradient Algorithm

2023-01-24

Data-Driven Niching Differential Evolution with Adaptive Parameters Control for History Matching and Uncertainty Quantification

2023-01-24

Fourier Neural Operator for Solving Subsurface Oil/Water Two-Phase Flow Partial Differential Equation

2023-01-24

A vector-to-sequence based multilayer recurrent network surrogate model for history matching of large-scale reservoir

2023-01-24

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