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Multi-seismic-source efficient acquisition wave field separation method, separation system and computer equipment

A wave field separation and high-efficiency acquisition technology, applied in seismic signal processing and other directions, can solve the problems of seabed seismic exploration multi-source separation effect and poor accuracy, large investment in human resources, slow operation speed, etc., to achieve fast operation speed and low human resources The effect of small investment and low cost

Active Publication Date: 2022-08-02
OCEAN UNIV OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (1) In the prior art, in seabed seismic exploration multi-source high-efficiency acquisition wave field separation, because there is no mixed mining separation, the calculation speed is slow, and the seabed seismic exploration multi-source separation effect and accuracy are poor
[0007] (2) Existing technology requires a large number of parameter tests in seabed seismic exploration and multi-source efficient acquisition wave field separation, which requires a large investment in human resources and high costs

Method used

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  • Multi-seismic-source efficient acquisition wave field separation method, separation system and computer equipment
  • Multi-seismic-source efficient acquisition wave field separation method, separation system and computer equipment
  • Multi-seismic-source efficient acquisition wave field separation method, separation system and computer equipment

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Embodiment 1

[0077] like figure 1 As shown, the denoising neural network-based multi-source high-efficiency acquisition wavefield separation method for submarine seismic exploration provided by the embodiment of the present invention includes the following steps:

[0078] S101: Create mixed sampling data. First, the non-mixed mining records are obtained by simulation or field acquisition, that is, single source records. In the non-mixed mining records, every two shots are mutually main and auxiliary sources. A random time delay of ±1s is used, and the two records are added to obtain mixed mining. data.

[0079] S102: Seismic data preprocessing. First, the seismic data is extracted from the common shot set to the common detection point set, and then the mixed recording and the non-mixed recording are top-cut with the same excision curve, and the recorded amplitude value above the first arrival wave is set to 0.

[0080] S103: Make small size. In the training process of sample deep learn...

Embodiment 2

[0101] like figure 2 As shown, the embodiment of the present invention provides a multi-source high-efficiency acquisition wavefield separation system for seabed seismic exploration based on denoising neural network, including:

[0102] Mixed mining data acquisition module 1 is used to obtain non-mixed mining records from simulation or field acquisition, that is, single source records. In the non-mixed mining records, every two shots are mutually main and auxiliary sources, using a random time delay of ±1s. The two records are added to obtain mixed sampling data.

[0103] Seismic data preprocessing module 2 is used to extract seismic data from the common shot set to the common detection point set, and then top-cut the mixed recording and non-mixed recording with the same excision curve. The amplitude value is set to 0.

[0104] Small-scale seismic data production module 3. It is used for large-scale seismic data that needs to be made into small-scale data.

[0105] Normal...

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Abstract

The invention belongs to the technical field of submarine seismic exploration, and discloses a multi-seismic-source efficient acquisition wave field separation method, a separation system and computer equipment. The seabed seismic exploration multi-seismic-source efficient acquisition wave field separation method based on the denoising neural network comprises the steps of obtaining mixed acquisition data, preprocessing seismic data, making small-size seismic data, normalizing a training set, building and training a neural network model, and testing seabed seismic exploration multi-seismic-source efficient acquisition wave field separation. And obtaining a common shot gather record after aliasing noise removal. According to the invention, the trained network model is used to carry out mixed collection separation in seafloor seismic exploration multi-seismic-source efficient collection wave field separation, the operation speed is fast, the human intervention is little, and the seafloor seismic exploration multi-seismic-source separation effect is good. The method is small in human resource investment and low in cost in separation of multi-seismic-source efficient acquisition wave fields in submarine seismic exploration.

Description

technical field [0001] The invention belongs to the technical field of seabed seismic exploration, and in particular relates to a multi-source high-efficiency acquisition wave field separation method, a separation system and computer equipment. Background technique [0002] Marine seismic exploration is the basic data for marine oil and gas exploration, geological disaster warning and marine geological scientific research. Usually, an air gun is used as the seismic source, and the streamer containing the geophones arranged at equal intervals is used for reception. According to the exploration depth and exploration purpose, a certain sampling rate and recording length are designed. For example, the sampling rate of 1 millisecond is recorded for 6 seconds. After source excitation, 6,000 sampling points were recorded at 1-millisecond intervals, and then the acquired data was used for subsurface imaging in the indoor processing stage to support follow-up studies. In the convent...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28G01V1/36
CPCG01V1/282G01V1/36
Inventor 童思友王忠成徐秀刚侯新伟石辉李俊杰刘岗
Owner OCEAN UNIV OF CHINA
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