Bridging Arps Decline Theory And Deep Learning: A Physics-constrained Neural Network Framework For Multi-horizon Production Forecasting Across 864 Tight-gas Wells In The Piceance Basin

Physics-informed Llms: From Passive Generation To Active Gas Network Optimization In The Santos Basin

Multi-domain Weakly Supervised Flow Allocation Using Distributed Acoustic Sensing

From Reactive To Proactive: A Physics-informed Cross-well Transfer Learning Framework For Preemptive Stuck-pipe Early Warning

From Gray-box To White-box: A Novel Pinn-driven Equation For Unconventional Production Forecasting

Surrogate-assisted Iterative Ensemble Smoothing: An Lstm “Simulator Twin” For Fast, Robust History Matching And Uncertainty Quantification

Accelerating Field Development Planning With Generative AI: A Transformer-based Framework

Ai-driven Prediction Of Multiphase Pipeline Performance For Enhanced Production And Operations

From Isolated Ai Workflows To Autonomous Reservoir Management Using Agentic Ai