Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Velocity analysis method for seismic data with low signal-to-noise ratio

A technology for seismic data and velocity analysis, applied in seismic signal processing and other directions, can solve problems such as inaccurate velocity analysis, and achieve the effects of accurate velocity picking, accurate construction, and improved quality

Active Publication Date: 2011-06-15
BC P INC CHINA NAT PETROLEUM CORP +2
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned technical problems, the present invention proposes a velocity analysis method applied to the establishment of a velocity model in the process of geophysical exploration seismic data processing. Accurate technical issues, not only for conventional velocity analysis, but especially for velocity analysis of low signal-to-noise ratio seismic data processing

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] The invention discloses a velocity analysis method for low signal-to-noise ratio seismic data, which comprises the following steps:

[0023] (1) Select the section with high signal-to-noise ratio of the data, and use speed scanning to extract the speed;

[0024] (2) Taking this speed as the center, increasing and decreasing according to the percentage interval selected by the processing personnel, and scanning multiple superimposed sections with different percentage speeds at variable speeds;

[0025] (3) Project and draw structural interpretation horizons on the stacked sections scanned with different percentage velocities;

[0026] (4) According to the structural interpretation horizon, set the speed range of different horizons to constrain the picking speed range;

[0027] (5) According to the imaging effect of the superimposed section of the structural interpretation layer at different percentage velocities, check whether the coaxial axis of the superimposed sectio...

Embodiment 2

[0029] The more optimal technical solution of the present invention is that in step (5), the velocity profile is generated in real time while the velocity is picked up for quality control of the velocity model, and the rest are the same as in Embodiment 1.

Embodiment 3

[0031] The best implementation mode of the present invention comprises the following steps:

[0032] (1) Select the section where the coaxial axis of the data is continuously and clearly visible, and the signal-to-noise ratio is relatively high, and the conventional velocity scanning method is used to extract the velocity through the energy spectrum or multi-channel superposition of small sections;

[0033] (2) Take this speed as the center, increase and decrease according to the percentage interval set by the processing personnel, and scan out a plurality of superimposed sections with different percentage speeds at variable speeds; for example, generate speed V1 through step (1), use 5% interval to At this speed, 5 times of descending scans and 5 times of increasing scans are performed. 75% V1, 80% V1, 85% V1, 90% V1, 95% V1, 105% V1, 110% V1, 115% V1, 120% V1 were obtained. Then use 75% V1, 80% V1, 85% V1, 90% V1, 95% V1, 100% V1, 105% V1, 110% V1, 115% V1, 120% V1 to super...

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 velocity analysis method for seismic data with a low signal-to-noise ratio, relating to the technical field of seismic data processing in geophysical exploration. The velocity analysis method comprises the following steps: (1) selecting sections with a high signal-to-noise ratio and adopting velocity scanning to extract a velocity; (2) taking the velocity as the center, increasing and decreasing the velocity progressively at interval according to percentage, and scanning a plurality of stacked profiles with different percentage velocities in a variable velocity; (3) projecting structure interpretation horizons on the scanned stacked profiles with different percentage velocities; (4) setting velocity ranges with different horizons according to the structure interpretation horizon so as to constrain a pickup velocity; and (5) carrying out velocity pickup according to the imaging effects of the structure interpretation horizons on the stacked profiles with different percentage velocities. In the velocity analysis method, the technical problem of inaccurate velocity analysis caused by excessively little useful information in the seismic data with a low signal-to-noise ratio is overcome, so that the velocity analysis method not only is applicable to the conventional velocity analysis, but also is particularly applicable to velocity analysis in processing the seismic data with a signal-to-noise ratio.

Description

technical field [0001] The present invention relates to the technical field of geophysical prospecting seismic data processing, in particular to a velocity analysis method for establishing a velocity model in the process of geophysical prospecting seismic data processing, especially suitable for velocity analysis of low signal-to-noise ratio seismic data. Background technique [0002] The conventional velocity analysis is to pick up the velocity on the velocity scanning energy spectrum, use the picked up velocity to dynamically correct the cmp gather in real time, and carry out the quality control of the velocity picking. And on the basis of the above velocity analysis, the picked velocity is mapped to the multi-channel stacked section for velocity correction. [0003] For example, the publication number is CN101251604, and the publication date is the Chinese patent literature on August 27, 2008, which discloses a two-parameter conversion wave velocity analysis and dynamic c...

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): G01V1/28G01V1/30
Inventor 何光明刘鸿陶正喜熊晶璇
Owner BC P INC CHINA NAT PETROLEUM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com