A multiple wave suppression method for deep water obc data based on model statistics picking

Abstract

The invention relates to a model-statistics-pickup-based multiple suppression method of deep-sea OBC data. The method comprises the following steps: (1), carrying out original seismic data treatment; (2), carrying out trace gather sorting on the seismic data after pretreatment; (3), determining multiple events needed to be suppressed; (4), reading a trace gather and picking up a multiple event needed to be suppressed at the trace gather; (5), carrying out smoothening processing on the picked-up multiple event; (6), carrying out static shift on all traces of a common-offset gather by using the smoothened multiple event as the central line, carrying out leveling on the smoothened multiple event, carrying out time-window-division statistics on amplitude characteristics of multiples of all traces in time windows along the multiple event, and establishing a multiple model; (7), subtracting the multiple event model from the leveling seismic data; (8), carrying out reversed static shift on primary wave data obtained by subtraction of the multiple model along the central line of the multiple event in the step (6); and (9), repeating the steps from (4) to (9) at a next trace gather by using the smoothened multiple event obtained by the step (5) as a reference.

Description

technical field [0001] The invention relates to the field of oil and gas seismic exploration, in particular to a method for suppressing multiple waves of deep-water OBC data based on model statistics picking. Background technique [0002] Multiple waves are the most common regular interference waves in marine seismic exploration, which originate from the multiple reflections of seismic waves excited by the source between several strongly reflecting interfaces. Multiple waves are likely to cause effective reflection signals from deep underground target layers to be covered up by multiple wave intensity energy on the received seismic section, thereby making the calculation of the stacked velocity field inaccurate and forming many false images on the migration section. For this reason, a series of technical methods to suppress multiple waves, such as predictive deconvolution, two-dimensional filtering, and SRME (Surface-Related Multiple Elimination, Surface-Related Multiple Eli...

AI Technical Summary

Problems solved by technology

The main difficulties in applying conventional multiple wave suppression technology to OBC data are: ① shot point and receiver point are not on the same datum plane; ② static correction varies with time and space; ③ ray path is asymmetrical; ④ it is difficult to pick up converted wave velocity ; ⑤ The stronger the multiple wave energy, the more difficult it is to suppress

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