Abstract: Artificial intelligence has become a strategic, transformative technology leading the development of the oil and gas industry. Based on the characteristics of complex sample conditions and sample preparation process, numerous and discrete collection items, strong dependence on manual experience and low per capita output value, it is urgent to strengthen intelligent transformation, but compared with other petroleum engineering technologies, intelligent surface logging progress is slow and limited to the application level. Therefore, the progress and gap of hardware system, control system and application system of intelligent drilling at home and abroad are analyzed from the progress and effect of intelligent drilling. Then, the main technical progress of intelligent surface logging is analyzed from three aspects: geological surface logging, engineering surface logging and intelligent platform, including "data +" driven and visually-driven lithology identification, fluid identification, downhole and surface risk identification and early warning. Based on the comparison between intelligent drilling and intelligent surface logging, it is suggested that the research and development of hardware systems such as downhole intelligent surface logging, intelligent surface logging robot and software systems such as multi-field digital twin, multi-acquisition intelligent control, multimode large model of surface logging, intelligent interpretation and evaluation should be strengthened. At the same time, it is emphasized that we should attach great importance to and rationally look at the development of intelligent surface logging, and do a good job of strategic positioning and process optimization on the basis of retrospective evaluation and horizontal comparison, so as to achieve progress catch-up and play a role. These analysis and viewpoints have guiding significance to promote the benign and rapid development of intelligent surface logging.