Deep-learning-based prediction method of steam channeling time in heavy oil reservoirs
A real-time and reliable prediction method for the onset of a steam breakthrough in heavy oil wells is proposed by integrating deep learning algorithms with dynamic data from the wells.To address the issues such as frequent fluctuations and high noise level in single indicator data, and inability to accurately characterize the steam breakthrough ti