<p>This research introduces a method for seismic-well tie using a modified Dynamic Time Warping, DTW algorithm with fuzzy features. The Seismic-Fuzzy DTW technique aligns synthetic seismograms to seismic traces by considering waveform similarity and geological features. It uses acoustic impedance models and membership results from fuzzy model-based inversion. Traditional seismic-well tie methods frequently prioritize amplitude matching above geological consistency. The proposed approach rethinks the well tie target by stressing the high correlation of fuzzy acoustic impedance features. The results show improvements over the traditional DTW-based technique. The result’s correctness, however, depends on the accuracy of the fuzzy seismic inversion data. It is proposed that more research be conducted into potential mismatches, noise effects, and complex geological structures. The algorithm’s effectiveness could be improved by incorporating more data types and optimizing its behavior under different geological settings. Overall, this unique approach yields promising results by combining seismic and well data to improve seismic interpretation outcomes.</p>