Hyperbolic radon domain comprehensive prediction deconvolution and feedback loop method to suppress multiple wave model construction method

Abstract

The invention provides a modeling method integrating the predictive deconvolution and the feedback loop method to suppress multiples in the hyperbolic Radon domain. According to the method, after original shallow profile data are read in, the original shallow profile data are processed by using the predictive deconvolution and the feedback loop method, and then, hyperbolic Radon transform is performed; an adaptive filter is constructed, and when the output value Fm (tau, h) of the adaptive filter is approximate to 0, it is considered that valid reflected waves still exist, and iteration processing should be performed on the data until Fm (tau, h) is approximate to 1; inverse Radon transform is performed on a multiple energy model in the hyperbolic Radon domain; and multiple energy model data are subtracted from the original shallow profile data, and finally, multiple-suppressed high-reliability shallow formation profile data can be obtained. With the method of the invention adopted, multiples on free interfaces and inter-layer multiples can be effectively suppressed; valid waves will not be damaged; the multiples can be effectively separated from primary waves; and a more reliablebasis is provided for later-stage submarine underground medium interpretation.

Description

technical field [0001] The invention relates to the field of marine geological engineering, in particular to a method for constructing a multiple-wave model of shallow formations suppressed by a hyperbolic Radon domain comprehensive prediction deconvolution and feedback loop method. Background technique [0002] Due to the influence of the measurement method and the complexity of the sediment structure in the shallow seabed, the receiving array of the shallow formation profiler (shallow profile) transducer will inevitably receive some multiple reflections from the sea surface and between the shallow formations. The effective primary wave separation in shallow formations brings difficulties, and seriously affects the authenticity and reliability of shallow formation imaging, which in turn misleads the later interpretation of shallow formation bottom. At present, there are two main types of methods for suppressing multiples: one is the filtering method based on the difference ...

AI Technical Summary

Problems solved by technology

[0004] (1) When the velocity of the acoustic wave in the shallow formation is reversed or the lateral velocity changes sharply, it is predicted that the deconvolution will fail to suppress the multiple waves effectively, and even damage the effective wave;

[0005] (2) The feedback loop method needs to know the wavelet of the transmitting transducer and the structure of the underground medium when eliminating the multiple waves, and the structure of the underground medium is often difficult to obtain accurately, which affects whether the multiple waves can be accurately predicted and eliminated; as well as

[0006] (3) The Radon transform is not suitable for the suppression of multiple waves generated by non-horizontal uniform layered media, and the effect of suppressing microbending multiple waves is poor

Images