Abstract: In traditional sedimentary facies modeling workflows, it is often difficult to directly utilize two-dimensional geological profiles interpreted by experts for three-dimensional model construction. Typically, layer-by-layer property assignment to 3D grids relies on cumbersome manual interactions, which are not only time-consuming and inefficient but also prone to introducing subjective errors, leading to model deviations and compromising the reliability and engineering applicability of the final results. To address these challenges, this paper proposes a well trajectory-guided method for the three-dimensional reconstruction of two-dimensional geological profiles. By establishing a spatial mapping relationship between image pixels and 3D corner-point grid cells, the method leverages the spatial anchoring capability of well trajectories to automatically project interpretation results onto 3D models and assign corresponding attributes. This approach enables the direct integration of expert knowledge into the modeling process and significantly enhances automation. A supporting software system is developed based on the proposed algorithm, incorporating key functional modules such as profile image preprocessing, stratigraphic boundary and sedimentary facies identification, spatial positioning, and attribute conversion. The method is applied and validated in a modeling example of a meandering river point-bar lateral accretion body influenced by tidal processes. The results demonstrate that the proposed approach can accurately and efficiently map 2D interpretation data onto 3D geological models, providing reliable prior constraints and data foundations for subsequent high-precision modeling. Moreover, it improves modeling efficiency, enhances geological consistency, and reduces structural uncertainty in complex sedimentary environments.