Abstract: Unconventional oil and gas reservoirs are characterized by strong heterogeneity, low porosity, and low permeability, and unconventional oil and gas wells need to be fractured to produce. Compared with conventional oil and gas reservoirs, unconventional oil and gas reservoirs have more complex engineering geology condition, which poses a challenge to the traditional fracturing parameter optimization methods. Artificial intelligence can provide solutions to problems that are difficult to solve with traditional methods, so artificial intelligence have been introduced into the optimization of fracturing parameters of unconventional oil and gas wells. In order to promote the rapid development of intelligent fracturing theory and technology, the research progress of intelligent optimization of fracturing parameters for unconventional oil and gas wells was systematically introduced, which mainly including the determination of the optimization objective of fracturing parameters, the establishment of the mapping relationship between fracturing parameters and fracturing effect, and the solution of the optimal fracturing parameter combination, etc. It was also proposed that the intelligent optimization of fracturing parameters for unconventional oil and gas wells should be mainly developed in three directions: real-time acquisition and transmission of downhole fracturing data based on optical fiber, physics-data synergy fracture propagation-production dynamic simulation, as well as intelligent optimization of fracturing parameters and real-time control integrated system.