Real-time Prediction Of Rop Based On Gru-informer

This article discusses the current challenges in real-time mechanical drilling speed prediction and proposes a composite model using the GRU-Informer neural network to address these issues. The model combines real-time data transmission and analysis to provide timely guidance for on-site operations. The article also highlights the evolution of mechanical drilling speed prediction and the various methods and technologies used in this field.