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Method for primary wave separation of mixed source data based on double-convex optimization sparse constraint

A technology of mixed seismic sources and sparse constraints, applied in the field of geophysical exploration, can solve problems such as instability and reduced accuracy of solution results, and achieve the effect of improving precision and accuracy and reducing costs

Active Publication Date: 2019-04-16
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the instability of the inversion method or inversion method used in the above method, it is easy to introduce the information of adjacent shot sets into the separation result during the solution process, reducing the accuracy of the solution result

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  • Method for primary wave separation of mixed source data based on double-convex optimization sparse constraint
  • Method for primary wave separation of mixed source data based on double-convex optimization sparse constraint
  • Method for primary wave separation of mixed source data based on double-convex optimization sparse constraint

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Embodiment 1

[0099] A method for primary wave separation of mixed source data based on biconvex optimization sparse constraints, including the following steps:

[0100] a. Extracting the delay time difference of the hybrid source excitation of the hybrid source acquisition and observation system. like Figure 5a As shown, the model is a 5400*1200 salt dome model, the grid spacing is 5m, 150 geophones are evenly distributed on the surface, and the geophone spacing is 20m. The observation system is: a ship travels along a survey line from the first geophone to the middle geophone, and performs source excitation at each geophone on the way; at the same time, another ship travels from the middle geophone Set off and travel to the last geophone, and the seismic source is also excited at each geophone, and the seismic source excitation interval of the two ships is Δt=t 2 -t 1 . The purpose of this implementation example is to test the correctness of this method for the primary wave separatio...

Embodiment 2

[0124] A method for primary wave separation of mixed source data based on biconvex optimization sparse constraints, including the following steps:

[0125] a. Extracting the delay time difference of the hybrid source excitation of the hybrid source acquisition and observation system. Use 2D ocean actual data to test the effectiveness of the method, so as to judge whether it can be applied industrially. The data has a total of 170 geophones with a spacing of 25m. 85-shot hybrid source with 512 vertical sampling points, such as Figure 6a and Figure 6b As shown, the sampling interval is 0.004s. At the same time, mixed acquisition observations are adopted for the same survey line, and the observation system is as follows: a ship travels along a survey line from the first geophone to the middle geophone, and the seismic source is excited at each geophone on the way; at the same time , the other ship starts from the middle geophone and travels to the last geophone, and also ex...

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Abstract

The invention relates to a method for primary wave separation of mixed source data based on double-convex optimization sparse constraint. A seismic source set by an observation system excites arrangement information and corresponding time differences of all seismic data forming mixed source data are analyzed; with an obtained excited delayed sequence, a mixed source excitation delay operator of afrequency domain is constructed; the mixed source excitation delay operator is introduced in a traditional primary wave-multiple wave physical forward model to construct a new mixed-source primary wave-multiple wave physical forward model and a mixed source primary wave separation objective function is constructed by the forward model; an L1 norm double-convex optimization constraint is introducedand the inversion process is transformed into a three-dimensional sparse domain to perform deconstruction of the primary source and multiple waves of the mixed source; and then alternative iterativeinversion is carried out on the separated source wavelet operator and the underground next wave response to obtain a final result. Therefore, primary wave separation is completed while the shot separation; the processing cost is saved substantially; and the foundation is laid for follow-up subsequent seismic imaging and interpretation.

Description

technical field [0001] The invention belongs to the technical field of geophysical exploration, and in particular relates to a method for separating primary waves of mixed source seismic data, in particular to a method for separating primary waves of mixed source data based on biconvex optimization sparse constraints. Background technique [0002] Hybrid source acquisition is an emerging seismic acquisition method, which achieves the purpose of high-efficiency and high-density acquisition by artificially shortening the time interval between each source excitation. Compared with the traditional seismic data acquisition method, hybrid source acquisition has the characteristics of low acquisition cost and time saving. However, because the mixed acquisition does not consider the interference between shots, the shot data generally contains more than two traditional unmixed single-source data, which increases the difficulty of further interpretation of subsequent seismic data proc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28
CPCG01V1/288
Inventor 王铁兴王德利
Owner JILIN UNIV