Facies-conditioned Physics-guided Machine Learning For Interpretable Permeability Prediction In Heterogeneous Clastic Reservoirs

Lithogpt: Learning The Semantic Grammar Of Subsurface Physics Via Discrete Latent Representations

The Development Of A Deep-learning-assisted Multi-phase-multi-component Numerical Simulation Protocol

Automated Geomechanical Interpretation Of Borehole Images Using Context-Aware AI Mechanism

A Transformer And Transfer Learning-based Approach For Pressure Transient Analysis Of Multiphase Fractured Horizontal Wells

Geological Parameterization For Reservoir Characterization Using VQ-VAE And Latent-space History Matching

Designing Agentic Ai Systems For Well Log Interpretation: A Physics-constrained, Multi-agent Workflow For Lithofacies Classification

Data-driven Decision Framework For Segmentation Strategy Selection In Digital Rock Physics: Accuracy-stability-cost Trade-offs Across Conventional, Machine Learning, And Deep Learning Methods

Discrepancy-based Uncertainty-aware Physics-guided Machine Learning For Interpretable Permeability Prediction In Carbonate Reservoirs