The vital role of Rock Physics in understanding the reservoir is only getting bigger with the continuous and rapid advancements in artificial intelligence and machine learning. The ever-growing computation power and algorithms allow for easier integration of big data in geology and geophysics, resulting in far better understanding of reservoir quality and characteristics, and an ever more solid foundations for all Rock Physics models. The conventional methods act as the cornerstone of these foundations and allow deep learning networks to build on them, while also utilizing all imaging and inversion techniques to provide all available types of information and data to these networks.