For oilfield enterprises，constructing intelligent oilfields is an inevitable development direction to meet the needs of high-quality development and severe external challenges. This paper summarizes the advanced practice of oilfield enterprises in China and abroad in intelligent construction and concludes that intelligent oilfields should have four abilities：comprehensive perception，integration and coordination，early warning and prediction，and analysis and optimization. On the basis of comprehensively promoting the construction of the Internet of things，China’s oil and gas industry has conducted a series of explorations and practice by leveraging the massive data resources accumulated gradually and resorting to intelligent technologies to improve the quality and efficiency of the exploration and development and production operation of oilfields and gasfields. Favorable application results have been achieved in business scenarios of reservoir prediction，reservoir description，and working condition diagnosis. For the comprehensive implementation of digital transformation and intelligent development of oilfield enterprises，key research problems need to be further tackled for the technology of dynamic automatic monitoring and intelligent control on the production site，new-generation intelligent oilfield technology based on industrial big data，intelligent optimization technology for oil reservoir development，and digital twin and intelligent operation command technology for oilfields. The objective is to develop a leading series of basic key technologies of intelligent acquisition，comprehensive perception，intelligent control，and early warning and prediction for intelligent oilfields and thereby support the high-quality development of oilfields and ensure national energy security.