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The southern margin of the Junggar Basin is abundant in oil and gas resources, with substantial exploration potential. However, the region's complex surface conditions, marked by significant elevation variations, abrupt near‐surface structural changes and uneven gravel layer thickness in the foreland, present significant challenges for static correction. These complexities severely impact imaging accuracy and impede further exploration efforts. To address these challenges, we propose a multi‐information‐constrained static‐correction method that integrates first‐arrival traveltime tomography with refraction traveltime migration. The tomography is constrained by jointly utilizing seismic first‐arrival times, micro‐well logs and geological outcrop data, yielding a geologically plausible near‐surface velocity model. This model then serves as the input for refraction traveltime migration, which is employed to delineate the geometry of the low‐velocity weathering layer with higher fidelity, ultimately leading to more accurate static corrections. The application in the Junggar Basin foreland shows that our method produces a sharper, more geologically consistent weathering‐layer interface compared to conventional tomography using a velocity contour datum. This leads to superior static corrections, evidenced by enhanced reflection continuity and sharper focus in the final stacked image.