In order to determine the optimal operating area for catalytic reforming to facilitate the adjustment of operating parameters in catalytic reforming process, a data-driven intelligent visualization optimization method was proposed to optimize the operation of the catalytic reforming process. Based on the operation data of the plant, the method of intelligent visualization optimization was used to establish a dimension-reduction mapping model in order to increase the yield of depentanized oil and octane value. The operating data from a multidimensional space are reduced to a two-dimensional plane, and then the target contour is generated. In the mapping plane, the optimal operating area for the yield of depentanized oil and octane value can be found easily. The discovery of the optimized region can facilitate the adjustment of the operating parameters in the catalytic reforming process. When one or several operating parameters are changed, the operating point can still fall within the optimized region by adjusting other parameters. This knowledge of area optimization has been applied in the refinery. Through the operating data statistics in a quarter, 96% of the operating point is in the optimization area, and the yield of the depentanized oil and octane value are increased synchronously. The results show that the optimized region is effective. © 2017, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
