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Seismic signal regularization processing method based on slice sampling

A processing method and seismic signal technology, applied in seismic signal processing, seismology, geophysical measurement, etc., can solve problems such as increasing data

Inactive Publication Date: 2020-11-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

The premise of nuclear norm regularization processing is that the seismic data has a low-rank structure, and lack of data and noise pollution will increase the rank of the data.

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  • Seismic signal regularization processing method based on slice sampling
  • Seismic signal regularization processing method based on slice sampling
  • Seismic signal regularization processing method based on slice sampling

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Embodiment Construction

[0044] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0045] The purpose of the present invention is to propose a low-rank sparse tensor completion (Low-tubal-rank and Sparse TensorCompletion, LRSTC for short) algorithm to complete the signal regularization process. Specifically, the tensor completion based on Hankel transform is introduced into the VSP data completion problem. Through the bridge constructed by Hankel transformation, the slice sampling problem is converted into the third-order tensor completion problem under tubal sampling, which simplifies the difficulty of modeling.

[0046] VSP data analysis is to analyze the seismic data in the well. The existence of obstacles on the surface and the limitation of economic conditions will lead to the loss of seismic data records, so the regulari...

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Abstract

The invention discloses a seismic signal regularization processing method based on slice sampling. The method is applied to the field of seismic exploration, and for the problem of surface missing inVSP data, a Low-tubal-rank and Sparse Sensor Complementation (LRSTC) algorithm is provided to complete signal regularization processing; an LRSTC model is solved by using an enhanced Lagrange method;through experimental simulation and analysis on synthetic seismic data and actual seismic data, the excellent performance of the LRSTC is verified.

Description

technical field [0001] The invention belongs to the field of seismic exploration, in particular to a seismic data analysis technology. Background technique [0002] Since the beginning of the 21st century, science and technology have developed rapidly, and oil and gas exploration technology has become more and more mature. After years of development, the oil reserves explored in some oil industrial areas have been significantly reduced. In order to meet the urgent demand for energy, it is necessary to intensify the exploration of oil, natural gas and shale gas, further improve seismic exploration technology, and search for more complex and hidden fault zones and subterranean strata structures. Exploration puts forward higher requirements. [0003] Under the strong demand for energy, the use of more advanced seismic survey methods to detect oil and gas fields has become more and more important. Seismic survey work mainly includes the following three main links: seismic dat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36
CPCG01V1/36G01V2210/32
Inventor 钱峰何鑫张仓仓胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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