2 results about "Velocity spectrum" patented technology

This invention provides an unsupervised automatic velocity spectrum picking method, electronic device, storage medium, and apparatus based on K-means clustering, belonging to the field of seismic data processing technology. The automatic picking method includes: manually picking multiple time-velocity pairs and generating prediction lines, as well as generating first and second constraint lines; cleaning the data and performing K-means clustering on the cleaned data to obtain multiple near-surface cluster centers, mid-level cluster centers, and deep cluster centers; performing least-squares linear fitting on the multiple near-surface cluster centers to obtain multiple near-surface time-velocity pairs; calculating the percentage of the average velocity of the multiple deep cluster centers to the velocity value of the corresponding point on the prediction line, and correcting the deep cluster centers based on this percentage to obtain multiple deep time-velocity pairs. This method can effectively reduce the density of velocity control points and manual picking time, and has picking accuracy comparable to manual picking, thereby reducing data processing costs.

The application discloses a method and device for determining a velocity spectrum and a computer device. The method comprises the following steps: obtaining seismic data of an exploration area, determining an initial layer velocity field in a depth domain based on the seismic data; determining a reference scanning layer in a subsurface medium layer, obtaining scanning parameters corresponding to the reference scanning layer, generating a scanning velocity field of the reference scanning layer by using the scanning parameters, and determining a common imaging point migration gather and a depth migration profile based on the scanning velocity field; processing the common imaging point migration gather and the depth migration profile to obtain a depth correction parameter of a reflection point, correcting an initial depth of the reflection point by using the depth correction parameter, and obtaining a reference depth of the reflection point; determining an energy distribution of the reflection point located at the reference depth, determining a velocity spectrum of the reference scanning layer by using the energy distribution of the reflection point, and determining a velocity spectrum of the subsurface medium layer of the exploration area by using the velocity spectrum of the reference scanning layer. The method can improve the accuracy and the precision of the determined velocity spectrum.