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Seismic signal completion method based on synchronous sparse low-rank tensor completion model

A seismic signal and completion technology, applied in seismic signal processing, seismology, measuring devices, etc., to achieve accurate and efficient recovery, improve sparsity and low rank

Active Publication Date: 2019-12-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0017] The main purpose of the present invention is to provide a seismic signal completion method based on a synchronous sparse low-rank tensor completion model, aiming to solve the above technical problems existing in existing methods

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  • Seismic signal completion method based on synchronous sparse low-rank tensor completion model
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  • Seismic signal completion method based on synchronous sparse low-rank tensor completion model

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[0067] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0068] The present invention first describes the tensor completion problem in this field:

[0069] Given a linear measurement result vector y=R of length M M There is the following linear mapping relationship: y m =m >=(vec(A m )) T ,vec(X),1≤m≤M, where is an unknown tensor with tubal-rank r, Is the perceptual tensor, and then define a linear mapping operator Then the tensor-aware problem can be described as: find a tensor Make it satisfy y=H(X), and the tubal-rank of the tensor X is minimized. The tensor completion problem is to complete the missing part of the tensor by observing a sm...

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Abstract

The invention discloses a seismic signal completion method based on a synchronous sparse low-rank tensor completion model. The method comprises the following steps that: a four-dimensional earthquakeis preprocessed; a tensor completion model is established; the objective function of the tensor completion model is constructed through a truncated tensor nuclear norm regularization method; and the constructed objective function of the tensor completion model is solved through an imprecise augmentation Lagrange multiplier method. According to the method, a tensor model based on a transform domainis established; a tensor to be recovered is converted into a Curvelet transform domain, so that the sparsity and low rank of the tensor to be recovered is improved; and the accurate and efficient recovery of four-dimensional missing seismic data is realized through an ADMM algorithm.

Description

technical field [0001] The invention belongs to the technical field of seismic data reconstruction, and in particular relates to a seismic signal completion method based on a synchronous sparse low-rank tensor completion model. Background technique [0002] With entering the 21st century, the global economy has entered a new period of development, and the demand for energy from all walks of life has become increasingly strong. However, new energy has not been able to replace the core position of oil and natural gas in the energy system. With the rapid development of the global economy, all countries are heavily dependent on oil and natural gas, and their demand is increasing. The domestic consumption of oil and natural gas, a resource that is related to people's livelihood, has reached hundreds of millions of tons. [0003] Although our country has a large land area, compared with the Middle East, our country is not on the oil belt. Only some parts of Tibet are on the tail o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28G01V1/30
CPCG01V1/28G01V1/282G01V1/30
Inventor 钱峰张仓仓胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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