Advances in the application of deep learning methods to digital rock technology

Digital rock technology is becoming essential in reservoir engineering and petrophysics. Three-dimensional digital reconstruction, image resolution enhancement, segmentation, parameters prediction are all crucial steps enabling the overall analysis of rocks to overcome shortcomings limitations traditional methods. Artificial intelligence technology, which has started play a significant role many different fields, may provide new direction for development technology. This work presents systematic review deep learning methods that being applied tasks within analysis, including reconstruction rocks, high-resolution acquisition, grayscale parameter prediction. The results these applications prove state-of-the-art can help advance approach scientific knowledge field rocks. also discusses future research developments on application Cited as: Li, X., B., Liu, F., T., Nie, X. Advances Geo-Energy Research, 2023, 8(1): 5-18. https://doi.org/10.46690/ager.2023.04.02