Converted wave secondary response compensation method

Abstract

The invention provides a converted wave secondary response compensation method. The method comprises steps of: obtaining a PS (Primary-Secondary) converted wave gather; adding a velocity disturbance term in the velocity of the converted wave in the PS converted wave gather to generate a converted wave disturbance velocity; generating converted wave secondary time difference and travel time in two opposite offset directions according to the converted wave disturbance velocity; analyzing the disturbance velocity according to the converted wave secondary time difference; performing stacking treatment or migration imaging treatment according to the converted wave disturbance velocity and the travel time in two opposite offset directions. According to the converted wave secondary response compensation method provided by the invention, the secondary response of the PS converted wave can be compensated, the events of the PS converted wave are aligned, and the stacking effect and the migration imaging quality of the PS converted wave are improved.

Description

technical field [0001] The invention relates to seismic exploration technology, in particular to converted wave imaging technology in the field of petroleum geophysical exploration, and in particular to a method for compensating converted wave two-pole response. Background technique [0002] In a heterogeneous medium, the PS converted wave will have a serious reflected dipole response: that is, if the excitation and receiving directions are opposite, the PS converted wave will have different seismic responses such as travel time and amplitude. The reflected dipole response will lead to different stacking velocities and velocity ratios of the PS converted wave (Thomsen, 1999, Li, Dai and Mueller, 2001), and the reflected dipole response together with the asymmetric ray path of the PS converted wave increases the PS converted wave data processing difficulty. A common way to solve this problem is to divide the data into two data volumes according to the offset direction (i.e. ...

AI Technical Summary

Problems solved by technology

But this method has the disadvantage that when two data volumes are processed separately, it is difficult to correct their events, especially when the signal-to-noise ratio is low or there are many events to be adjusted

Therefore, when two poorly corrected data volumes are merged, the final data quality will degrade

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