Modeling method integrating predictive deconvolution and feedback loop method to suppress multiples in hyperbolic Radon domain

A technology for predicting deconvolution and comprehensive prediction, applied in the field of marine geological engineering, it can solve the problems of damage significant waves, difficult to obtain accurately, and poor suppressing effect of micro-flex multiple waves, and achieve the effect of suppressing multiple waves.

Inactive Publication Date: 2018-02-09
SHANGHAI OCEAN UNIV
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Modeling method integrating predictive deconvolution and feedback loop method to suppress multiples in hyperbolic Radon domain
  • Modeling method integrating predictive deconvolution and feedback loop method to suppress multiples in hyperbolic Radon domain
  • Modeling method integrating predictive deconvolution and feedback loop method to suppress multiples in hyperbolic Radon domain

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0048] see Figure 1 to Figure 2 Shown, a specific embodiment of the present invention is as follows:

[0049] (1) Overall technical route

[0050] figure 2 This is the schematic diagram of the hyperbolic Radon domain comprehensive prediction deconvolution and feedback loop method to suppress the multiple wave model construction method. First, the original shallow section data is preprocessed by predictive deconvolution and feedback loop method respectively. The position of the multiples is roughly predicted in the original shallow profile data. As the multiples data model, the predicted multiples data model does not need to completely and strictly match the multiples of the original data. At the same time, combined with the processing results of prediction deconvolution, since the prediction error includes effective reflections and long-period multiples that are not completely suppressed, the energy of multiples is mainly distributed on traces with larger curvature paramet...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36
CPCG01V1/368G01V2210/244G01V2210/324G01V2210/36
Inventor 何林帮邱振戈杨彬
Owner SHANGHAI OCEAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products