Given the operation flow and hot issues about the exploration and development of Shengli Oilfield，this paper detailed the research and application progress in big data and artificial intelligence（AI）technologies. Through continuous conquest of technical challenges，intelligent technologies were developed for multiple application scenarios such as the fault detection，horizon extraction，lithology identification，and logging interpretation. The efficiency of fault interpretation was increased by more than 10 times，and the lithology identification accuracy of logging sand-shale could be more than 90%. In terms of oil and gas development，intelligent application methods for injection-production response identification，development index prediction，and intelligent scheme optimization were explored and implemented. The efficiency of scheme optimization was enhanced by more than 5 times. The results show that the big data and AI technologies，able to provide efficient multi-dimensional and multi-scale data analysis，can not only greatly improve work efficiency but also promote the accuracy of geological modeling and engineering prediction of reservoirs. Considering the current problems in field application，we will focus on conquering core algorithms，formulating sample data standards，expanding the sample library，and constructing intelligent application platforms in the next step. In this way，we intend to gradually implement the all-around and full-process intelligent application of exploration and development，promote the development of intelligent technologies for oil and gas exploration and development，and assist the oil and gas industry in improving quality and efficiency.