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Weak seismic signal reconstruction method based on curvelet transform

A seismic signal and curvelet transform technology, applied in seismic signal processing and other directions, can solve the problems of blurred edges of seismic signals, loss of edge direction information, and decreased resolution, so as to save exploration costs, protect noise, and improve resolution. Effect

Inactive Publication Date: 2014-08-27
YANGTZE UNIVERSITY
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Problems solved by technology

[0004] Although wavelet transform can remove most of the noise in seismic signal processing, due to the defects of wavelet transform itself, edge direction information will be lost when expressing two-dimensional images, resulting in blurred imaging
Therefore, the edge of the denoised seismic signal event is blurred and the resolution is reduced.

Method used

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  • Weak seismic signal reconstruction method based on curvelet transform
  • Weak seismic signal reconstruction method based on curvelet transform
  • Weak seismic signal reconstruction method based on curvelet transform

Examples

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Embodiment

[0032] In this embodiment, the present invention is further described by performing detection and identification of suppressed surface waves and weak seismic signals based on seismic exploration horizon data in a certain place.

[0033] Explanation of this data: This data is pre-stack seismic data (including 33 traces, each with 1501 sampling points), which store weak reflection signals for seismic exploration; seismic signals are greatly interfered by surface waves, and some events are difficult to identify. The message is vague.

[0034] The software program with the reconstruction method of the present invention is installed on a computer with Matlab R2012b or later, and the software program is run when two-dimensional seismic signal removal of surface waves, weak seismic signal detection and reconstruction are required.

[0035] The concrete steps of the present invention in this example are as follows:

[0036] Step 101: The surface wave is a widespread regular wave, mai...

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Abstract

The invention relates to a weak seismic signal reconstruction method based on curvelet transform and belongs to the technical field of petroleum and seismic exploration data processing. The method is characterized by comprising the steps of (1) determining a noise model and the parameters of the noise model, (2) reading seismic data, (3) conducting curvelet decomposition on the read seismic data to obtain the curvelet coefficient of seismic data, (4) conducting curvelet decomposition on the obtained noise model to obtain the curvelet coefficient of the noise model, (5) filtering the curvelet coefficient of the seismic data in a curvelet domain according to a set filtering threshold to filter out the noise part in the curvelet coefficient, and (6) conducting curvelet inverse transform on the filtered curvelet coefficient to obtain seismic signals with noise eliminated through reconstruction. By means of the method, filtering and denoising are conducted on the seismic signals, noise interference is filtered out precisely while effective seismic reflection signals are protected, effective weak signals are highlighted, and the purpose of detecting and recognizing deep weak seismic signals is realized; exploration precision is improved, exploration cost is reduced, using is convenient and economic efficiency is high.

Description

Technical field: [0001] The invention relates to a method for reconstructing weak seismic signals based on curvelet transform, belonging to the technical field of seismic data processing in petroleum seismic exploration. Background technique: [0002] With the continuous deepening of oil and gas exploration and development, the difficulty of exploration and development is increasing, and the task of seismic exploration has also been developed from simple structural exploration in the past to finding complex oil and gas reservoirs and hidden oil and gas reservoirs. Subtle oil and gas reservoirs have the characteristics of small area, complex structure, and indistinct features on seismic sections. Therefore, it is an inevitable trend to study the detection and identification of weak seismic signals and improve resolution in seismic exploration. [0003] However, for the detection and identification of weak reflection signals in seismic signals, the effect of traditional proces...

Claims

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Application Information

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IPC IPC(8): G01V1/36
Inventor 谢凯姚恒星陈思雅罗德新
Owner YANGTZE UNIVERSITY
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