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This work presents an automated method for determining subsurface reflector geometry using 3D reflection traveltime modelling on seismic data. The method leverages from observed reflections in shot gathers to estimate the dip angle and strike direction, particularly useful for hardrock data with isolated reflections. By modelling traveltimes and comparing them to the observed data, the method identifies the best-fit reflector 3D planar geometry. It utilizes a two-layer model and computes the misfit between the modelled and observed reflection traveltimes. Testing on synthetic and real data demonstrates the method’s effectiveness, especially with crooked acquisition profiles providing diverse azimuths. The automated 3D reflection traveltime modelling is helpful in many instances and can provide 3D complementary information to 2D data. The process includes estimating medium velocity, modelling arrival times for different strike-dip pairs and computing root mean square (RMS) error. The resulting RMS error map helps to evaluate result uncertainty and to define the best matching 3D geometry. This approach simplifies and improves reflector estimation compared to previous manual methods.