Multiphase Flow Simulation in Hydrocarbon Reservoir: Balancing Computational Efficiency and Prediction Accuracy
High‑fidelity reservoir simulations remain indispensable for predicting multiphase flow in porous media, yet their computational cost impedes real‑time decision‑making. Recent advances have demonstrated that deep‑learning proxies—such as convolutional and recurrent neural networks—can capture complex flow dynamics,...