A physics-informed deep learning model for inter-well connectivity analysis of waterflooding reservoirs
Accurate identification of inter-well connectivity is crucial for the efficient development of waterflooding reservoirs. Traditional methods, such as tracer tests, well testing, and numerical simulations, are often costly and computationally intensive, while purely data-driven approaches suffer from limited physical in...