The studies on fluvial reservoir architecture are mainly aimed at outcrop and modern deposition,but rarely at the subsurface reservoir,so there are few effective methods to predict the distribution of subsurface reservoir architectures. In this paper,taking the meandering river reservoir of Guantao formation Gudao Oilfield,Jiyang depression,Baohai Gulf Basin,East China as an example,the archi-tectural modeling method of complex meandering belt reservoir is proposed,that is hierarchy con-straint,pattern fitting and multi-dimensional interaction. Architectures of meandering river reservoir can be divided into three hierarchies: meandering channel sandbody,point bar and lateral accretion body. Different hierarchies of the quantitative architecture pattern are fitted to subsurface well data (including dynamic monitoring data) in different hierarchies through one-dimensional hole,2D profiles and plane and 3D space,which are verified by each other. And then 3D model in different hierarchies is established. At the same time,the quantificational relationship between width of active river and the scale of point bar is set up,and the scale of lateral accretion sand body and shale beddings is con-firmed with horizontal well data. The study not only has significant meaning on the development of geology,but also can improve the oilfield exploitation greatly. The studies on fluvial reservoir architecture are mainly aimed at outcrop and modern deposition, but rarely at the subsurface reservoir, so there are few effective methods to predict the distribution of subsurface reservoir architectures. In this paper, taking the meandering river reservoir of Guantao formation Gudao Oilfield, Jiyang depression, Baohai Gulf Basin, East China as an example, the archi-tectural modeling method of complex meandering belt reservoir is proposed, that is hierarchy con-straint, pattern fitting and multi-dimensional interaction. Architectures of meandering river reservoir can be divided into three hierarchies: meandering channel sandbody, point bar and lateral accretion body. Different hierarchies of the quantitative architecture pattern are fitted to subsurface well data (including dynamic monitoring data) in different hierarchies through one-dimensional holes, 2D profiles and plane and 3D space, which are verified by each other. And then 3D model in different hierarchies is established. At the same time, the quantificational relationship between width of active river and the scale of point bar is set up, and the scale of lateral accretion sand body and shale beddings is con-firmed with horizontal well data. has significant meaning on the development of geology, but also can improve the oilfield exploitation greatly.