High-precision Initial Model Construction by Extrapolating Borehole Data with Dynamic Time Differences Constraint

The initial model plays an important role in seismic inversion, as it provides the starting point for updating the inversion solution. The accuracy of the initial model directly determines the precision of the inversion result and the efficiency of the inversion algorithm. The conventional method for constructing the initial model involves extrapolating borehole data under the constraint of seismic horizons, which are obtained through manual picking, with their accuracy depending on human expertise and the quality of the seismic data. To reduce the dependence of the initial model on the accuracy of seismic horizons, we propose a data-driven method for constructing the initial model. The method uses the Dynamic Time Warping (DTW) algorithm to calculate the time differences between seismic traces and utilizes these time differences to guide the extrapolation of borehole data. Synthetic and field data examples demonstrate the superior performance of the proposed method over the conventional method.