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Seismic data static correction processing method and device, computer equipment and storage medium

A technology of seismic data and processing methods, applied in seismic signal processing, seismology, measuring devices, etc., can solve problems such as complex near-surface velocity modeling process, difficulty in obtaining near-surface velocity models, and influence on static correction, so as to avoid near-surface velocity Surface modeling process, effect of efficient and accurate static correction processing function

Pending Publication Date: 2022-05-03
CHINA PETROLEUM & CHEM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The first arrival picking process is time-consuming and laborious, and the near-surface velocity modeling process is complicated, so it is a difficult process to obtain an accurate near-surface velocity model
In the face of seismic data in complex surface exploration areas such as mountains, it is very difficult to obtain accurate first-arrival data and near-surface velocity models, which affects the effect of static correction
There are many static correction processing methods for complex surface seismic data, mainly focusing on first arrival picking and high-precision near-surface velocity modeling, such as automatic first-arrival picking methods, tomographic near-surface velocity modeling methods, etc. A certain processing effect has been achieved, but it still cannot completely solve the problem of static correction on complex surfaces such as mountains

Method used

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  • Seismic data static correction processing method and device, computer equipment and storage medium
  • Seismic data static correction processing method and device, computer equipment and storage medium
  • Seismic data static correction processing method and device, computer equipment and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0048] The seismic data static correction processing method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the computer 102 communicates with the server 104 through the network. Wherein, the terminal 102 can be, but not limited to, various personal computers, servers, notebook computers, smart phones, tablet computers and portable wearable devices, and the server 104 can be realized by an independent server or a server cluster composed of multiple servers. The user sends the target seismic data to the server 104 through the terminal 102, and the server 104 obtains the target seismic data; the target seismic data is input into the pre-trained initial picking neural network model for training, and the first arrival time data including the first first arrival time data are obtained. Picking up data; inputting the first-arrival picking-up data including the first first-arrival time data into the static correction pro...

Embodiment 2

[0050] In this example, if figure 2 As shown, a static correction processing method for seismic data is provided, which includes:

[0051] Step 210, acquiring target seismic data.

[0052] Step 220, input the target seismic data into the pre-trained initial picking neural network model for training, and obtain the first arrival picking data including the first first arrival time data.

[0053] Specifically, the data volume of the sample seismic data is extracted from the target seismic data, and the file header description information and trace header information of the sample seismic data are removed. The acquisition of the verification data volume is to generate a data volume of the same size as the seismic data volume. The value of each sampling point in the data volume is set to 0, and then the value of the sampling point corresponding to the first arrival time of each trace is set to 1, indicating The first arrival time position of this data.

[0054] Extract one piece ...

Embodiment 3

[0085] The present invention uses a deep neural network to automatically pick up the first arrival of seismic data, and after obtaining the first arrival data, uses the deep neural network to process the first arrival data to obtain the relationship between the first arrival time and the surface elevation. Using the relationship between the first arrival time and the surface elevation, by setting different target surface elevations and calculating the first arrival time of the corresponding elevation, the direct static correction process is realized. The process of direct static correction is: set a uniform surface elevation, use the deep neural network to calculate the first arrival time of the unified elevation, subtract the first arrival time of the unified elevation from the actual first arrival time, obtain the time correction amount of the target elevation, and use The time correction amount is directly subjected to static correction processing.

[0086] In this embodime...

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Abstract

The invention provides a seismic data static correction processing method and device, computer equipment and a storage medium. The method comprises the steps of obtaining target seismic data; inputting the target seismic data into a pre-trained initial pickup neural network model for training to obtain first arrival pickup data including first arrival time data; inputting the first arrival pickup data containing the first first arrival time data into a static correction processing neural network for training to obtain first arrival pickup data after static correction processing and second first arrival time data; according to the second first arrival time data and the first first arrival time data after the static correction processing, calculating to obtain a static correction value; and correcting the seismic data according to the static correction value. And first arrival automatic pickup and direct static correction calculation are realized. According to the method, the first arrival data does not need to be manually picked up, a complex near-surface modeling process is avoided, and an efficient and accurate static correction processing function is realized.

Description

technical field [0001] The invention relates to the technical field of seismic data processing, in particular to a seismic data static correction processing method, device, computer equipment and storage medium. Background technique [0002] Static correction is an important part of seismic data processing. Whether the static correction is accurate or not is directly related to the effect of subsequent series of processing. The currently widely used static correction processing method is to use first-arrival data for tomographic modeling of near-surface velocity, obtain near-surface velocity model data, and use the velocity model to calculate the travel time difference caused by the undulating surface for static correction. Accurate first-arrival data and near-surface velocity model data are required. The process of picking up the first arrival is time-consuming and laborious, and the modeling process of the near-surface velocity is complicated, so it is a difficult process...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36G06N3/04G06N3/08
CPCG01V1/362G06N3/08G01V2210/53G01V2210/41G06N3/045G01V1/36
Inventor 亢永敢魏嘉陈金焕朱海伟庞锐
Owner CHINA PETROLEUM & CHEM CORP