Bright spot hydrocarbon detection method and system based on matching pursuit and RGB color fusion

A matching tracking and oil and gas detection technology, applied in the field of geophysical exploration, can solve the problem of poor bright spot recognition accuracy, and achieve the effect of improving the accuracy

Active Publication Date: 2019-10-15
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims at the above-mentioned problems such as poor recognition accuracy of bright spots caused by false bright spots in the existing oil and gas detection process, and provides a bright spot oil and gas detection method and system based on matching tracking and RGB color fusion, which can improve the accuracy of bright spot recognition and eliminate false bright spots. Effect of bright spots on interpretation accuracy, thereby improving oil and gas detection accuracy

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
  • Bright spot hydrocarbon detection method and system based on matching pursuit and RGB color fusion
  • Bright spot hydrocarbon detection method and system based on matching pursuit and RGB color fusion
  • Bright spot hydrocarbon detection method and system based on matching pursuit and RGB color fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] see Figure 2a Shown is a hydrocarbon model. see Figure 2b The seismic section corresponding to the hydrocarbon-bearing model shown, the hydrocarbon-bearing formation shows strong energy on the seismic section, but the large velocity difference also produces a strong non-reservoir false bright spot between the interface of mudstone 2 and mudstone 3 .

[0061] The above method and system of the present invention first use the matching pursuit algorithm to adaptively decompose the acquired seismic data of the oil and gas model, and then use the threshold control to extract the bright spot prediction section, and then linearly superpose the screened wavelets to obtain the heavy Structured bright spot prediction profile (see Figure 2c ). Depend on Figure 2c It can be seen that the predicted section of the bright spot is basically consistent with the distribution of oil and gas in the model, and the profile of the bright spot is clearer, basically eliminating the inf...

Embodiment 2

[0065] The actual data of an oilfield in the south of Bohai Bay were tested, and the section of seismic data can be found in Figure 4 . The tectonic movement in this area has formed a good source-reservoir-cap combination. There are two wells at the dotted line in the seismic profile. The drilling data shows that A1 is an oil well and A2 is a water well.

[0066] Figures 5a-5c The RGB frequency division fusion attribute data volume obtained by different methods is given. Figure 5a In order to use the generalized S transform for time-frequency analysis to extract the frequency division data and then perform RGB frequency division fusion results, Figure 5b In order to use the existing matching pursuit for time-frequency analysis to extract frequency division data and then perform RGB frequency division fusion results, Figure 5c In order to adopt the above method of the present invention, first apply matching tracking to predict the profile of bright spots, then extract t...

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 relates to a bright spot hydrocarbon detection method based on matching pursuit and RGB color fusion. The method comprises the following steps: decomposing acquired seismic data containing hydrocarbon stratum into different wavelets of the frequency and amplitude information according to a local optimal matching principle through the matching pursuit algorithm; screening wavelets related to the hydrocarbon by combining processing interpretation experience and well data through a threshold or iterations control, overlaying the wavelets to acquire a bright spot prediction profile;solving the Wigner distribution of the screened wavelet, and linearly overlaying the Wigner distributions of the wavelets to obtain a time frequency distribution of the bright spot prediction profile;extracting data volumes of three different frequency bands from the time frequency spectrum of the bright spot prediction profile, and acquiring three frequency-division attribute data volumes of thebright spot prediction profile; and performing frequency-division attribute fusion on three frequency-division attribute data volumes by adopting a display way of RGB color fusion, and performing bright spot analysis and hydrocarbon-bearing detection. The influence on the reservoir interpretation by non-reservoir reflection can be avoided as much as possible, the bright spot identification precision can be improved, and the multiplicity of the bright spot hydrocarbon detection is reduced.

Description

technical field [0001] The invention belongs to the technical field of geophysical exploration, and relates to oil and gas detection technology, in particular, to a bright spot oil and gas detection method and system based on matching tracking and RGB color fusion. Background technique [0002] When seismic waves propagate in oil and gas formations, the difference in wave impedance between the upper and lower interfaces of the reservoir and the surrounding rocks will reflect different amplitude attributes, and usually there will be "bright spots" of strong amplitude. That is to say, the so-called bright spot refers to the relatively enhanced amplitude of seismic reflection waves caused by the existence of underground oil and gas reservoirs (gas reservoirs are the most typical) on the seismic section, which is more prominent than other reflection amplitudes of up, down, left, and right. . The use of bright spot technology for oil and gas detection mostly relies on wave ampli...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/624
Inventor 李志娜李振春王鹏孙苗苗贺紫林刘延利
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap