A Novel Causal Graph-Convolutional-Network-Enhanced Mamba Framework with Proportional-Integral-Derivative-Inspired Constraint for Multistep Petroleum Production Forecasting
Production forecasting is essential for reservoir management, but crosswell multistep prediction remains challenging because production data involve nonlinear temporal dynamics, delayed intervariable dependencies, and strong heterogeneity among wells. To address these issues, we propose a temporal segment (TS)-graph...