Unlock instant, AI-driven research and patent intelligence for your innovation.

A seismic data processing method and system

A technology of seismic data and sparse representation, which is applied in the field of seismic data processing methods and systems based on PCA dictionary and sparse representation, and can solve problems such as poor signal fidelity

Pending Publication Date: 2019-04-19
CHINA PETROLEUM & CHEM CORP +1
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the deconvolution processing method has artificial assumptions, and when the frequency extension requirements are high, the signal fidelity is poor; the inverse Q filtering processing method requires a relatively accurate equivalent Q value field, and can only deal with the vertical absorption attenuation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A seismic data processing method and system
  • A seismic data processing method and system
  • A seismic data processing method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0224] Randomly select 50,000 pairs of different high-resolution and low-resolution image pairs from the training image set, and obtain feature vectors for training to establish an adaptive PCA dictionary. In order to effectively compare the processed image with the input image, and balance the computational efficiency and result quality, the size of the sparse dictionary is fixed at 1024, and the sampling rate is 0.5. Table 1 is the result contrast of the present invention and conventional method. It can be seen from Table 1 that the root mean square error of the seismic image processed by the method of the present invention is obviously reduced, and the peak signal-to-noise ratio is obviously improved.

[0225] Table 1 The present invention and the result contrast of conventional method

[0226]

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a PCA dictionary and sparse representation-based seismic data processing method. The method comprises the steps of 1, establishing a self-adaptive PCA dictionary D; 2, inputting to-be-processed seismic data x (0), and obtaining a first restored image x (1) based on the adaptive PCA dictionary D; And step 3, taking the first restored image x (1) as to-be-processed seismic data to carry out iteration processing to obtain a final restored image x (k). By using the adaptive PCA dictionary, when the main component of the image set is obtained, other redundant dimensions areomitted, the purpose of dimension reduction is achieved, the processed image is compressed indirectly, meanwhile, more information of the original image is reserved, and therefore the definition of the restored image can be improved.

Description

technical field [0001] The invention relates to the field of seismic signal processing, in particular to a seismic data processing method and system based on PCA dictionary and sparse representation. Background technique [0002] With the gradual deepening of oil and gas exploration and development, the exploration targets are developing in the direction of middle-deep complex fault-block oil reservoirs, lithologic hidden oil reservoirs and stratigraphic oil reservoirs, and the corresponding oil and gas exploration and development are becoming more and more difficult. Therefore, the deepening of oil and gas exploration and development naturally puts forward higher requirements for the accuracy of seismic imaging. Seismic imaging data is an important data for deepening oil and gas exploration and development, and it is very important to improve the accuracy of seismic imaging to meet the needs of oil and gas field exploration and development. The resolution of seismic data i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/62G06F17/16
CPCG06F17/16G06V10/513G06F18/211G06F18/28G06F18/23213
Inventor 孟黎歌朱凌燕王佳王婷婷
Owner CHINA PETROLEUM & CHEM CORP