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Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations
Solving reservoir seepage partial differential equations (PDEs) is critical for hydrocarbon development optimization and production forecasting. Conventional numerical solvers suffer from mesh errors and high computational cost. Standard Physics-Informed Neural Networks (PINNs) are limited by ineffi
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