Seismic velocity spectrum automatic pick-up method

Abstract

The invention provides a seismic velocity spectrum automatic pick-up method, and belongs to the field of oil gas and coal-bed methane seismic exploration and development. The method comprises the following steps: (1) creating grid data: converting velocity spectrum data stored in a standard seismic data format into two-dimensional grid data; (2) setting a computation time window and determining a maximum value position in the area of the computation time window; (3) defining a velocity search threshold vh, moving the computation time window down by one unit, searching the maximum value Vmax in the area of the computation time window, recording the position of the maximum value Vmax (namely, recording the values of the subscripts n and k of a corresponding two-dimensional array) if the found maximum value Vmax is greater than the threshold vh, and giving up recording if the found maximum value Vmax is smaller than the threshold vh; (4) completing velocity curve connection to form a non-interpolated velocity curve; and (5) interpolating the non-interpolated velocity curve obtained in step (4) to obtain a final velocity curve.

Description

technical field [0001] The invention belongs to the field of seismic exploration and development of oil and gas and coalbed methane, and in particular relates to an automatic seismic velocity spectrum picking method. Background technique [0002] The seismic velocity spectrum (hereinafter referred to as the velocity spectrum) is similar to the concept of the spectrum, and the curve of the relationship between the energy of the seismic wave and the wave velocity is called the velocity spectrum. In seismic exploration, the velocity spectrum usually refers to the stacked velocity spectrum in multiple coverage techniques. [0003] Velocity data will be widely used in seismic data processing and subsequent seismic data interpretation, and the source of velocity data is the picking of velocity spectrum. At present, the picking of the velocity spectrum is completed by manual interaction, which takes a long time and is inefficient. [0004] At present, the existing methods of auto...

AI Technical Summary

Problems solved by technology

At present, the picking of velocity spectrum is completed by manual interaction, which takes a long time and low efficiency

[0004] At present, the existing automatic velocity spectrum picking methods include the automatic picking of the velocity spectrum based on the Monte Carlo method, etc., but its technology is complicated, the efficiency is low, and it cannot be explained globally

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