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Reconstruction method of seabed earthquake data

A technology of seismic data and data, applied in the direction of seismic signal processing, etc., can solve the problems of large uncertainty and error of reconstruction results

Inactive Publication Date: 2018-11-16
INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI
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Problems solved by technology

[0004] In the seabed seismic data reconstruction method in the above technology, the collected data is required to be evenly sampled data, and for irregularly sampled randomly sampled data, the uncertainty of the reconstruction results is relatively large, which will cause large errors

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  • Reconstruction method of seabed earthquake data
  • Reconstruction method of seabed earthquake data
  • Reconstruction method of seabed earthquake data

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example 1

[0032] Example 1: Take the random acquisition of submarine seismic data in a sea area as an example, and randomly sample 50% of the sampling points of the submarine seismic profile ( figure 2 Left), use the method of this application to reconstruct the rule data, which is realized by the following steps:

[0033] The first step is to establish the relationship between the seabed random sampling seismic data and the regular data: Rf = less, R represents the sea bottom seismic random sampling operator, f represents the sea bottom seismic regular data to be reconstructed, y represents the sea bottom random sampling seismic data, and figure 2 left;

[0034] In the second step, using the sparsity of the regular submarine seismic data f in the curve wave domain, a sparse inverse problem is established: Among them, Df=x represents the curvelet transform, and x is the sparse curvelet coefficient, so the problem is transformed into solving the sparsest curvelet domain coefficient ...

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Abstract

The invention provides a reconstruction method of seabed earthquake data. On the basis of the sparsity of the seabed earthquake data, irregular curvelet transform is used to extract a sparse characteristic of the earthquake data, a sparse curvelet coefficient that satisfies a constrained condition is obtained via multiple times of iteration, and regular inverse transformation is carried out on thesparse curvelet coefficient to obtain the reconstructed seabed earthquake data. Thus, the seabed earthquake data can be reconstructed effectively, and noise interference can be removed.

Description

technical field [0001] The invention belongs to the field of seabed seismic detection, and relates to a method for random sampling to obtain seabed seismic data, in particular to a seabed random sampling seismic data reconstruction method. Background technique [0002] Due to the high value of submarine seismic instruments, and the use of ocean exploration is greatly affected by the ocean, it faces multiple risks in instrument deployment and recovery, and the cost and risk of data acquisition are huge. In the case of meeting the detection requirements, random sampling can effectively reduce the cost and risk of collection, and the integrity and regularity of data are crucial to the later data processing and interpretation work, so random sampling is the regular processing of irregular data It is the key in seabed seismic data processing. [0003] The existing submarine seismic data reconstruction is mainly based on regular sampling data for regular processing, such as predi...

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Application Information

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IPC IPC(8): G01V1/28
CPCG01V1/28
Inventor 南方舟徐亚郝天珧黄松
Owner INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI