The design of surface development scheme of oil and gas fields involves multiple types of oil and gas fields, projects, engineering disciplines, and deliverable data. The design work for the development scheme is highly specialized, difficult, and complex. The quality of development scheme design relies too much on individual work experience, and there are issues such as low level of sharing and reuse of development scheme results that urgently need to be resolved through information technology and intelligent approaches. Based on the knowledge system of surface facilities, this paper integrates knowledge graphs and machine learning technology to develop intelligent application scenarios: intelligent retrieval, intelligent assisted design, and intelligent assisted review. It is able to generate automatic recommendation of the surrounding environment, standard selection, similar process schemes, review points, and historical expert opinions of surface facilities engineering. It can also automatically extract key technical indicators, economic indicators, and main engineering bill of quantities from project reports, and provides intelligent push of comparative analysis results and other applications. Through the application of the Class Ⅱ salt-resistant polymer production capacity building project plan in the Duanxi East Block of the North-1 District and the production capacity building plan in the Ta21-4 Block of the Longxi District, it is concluded that the intelligent support platform for oil and gas field surface development scheme design can save data retrieval time, achieve “one-click access”, improve the quality of internal-inspection and internalaudit, effectively reduce the frequency of multiple rounds of project review, achieve online management and sharing of project data, increase the work efficiency of design and review personnel by more than 50% and effectively improve the efficiency and quality of development scheme design and review. This intelligent platform can provide reference for similar oil and gas field surface development in the future.