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

A Joint Velocity Analysis Method Based on Multi-component Data Based on P-S Wave Matching

A technology combining velocity and analysis methods, applied in the field of geophysical exploration data processing, can solve the problems of increased length and offset of three-component acquisition arrangement, difficulty in velocity analysis of converted wave data, and asymmetric propagation paths of converted waves, etc. Processing results, high signal-to-noise ratio, high-resolution effects

Active Publication Date: 2017-12-12
CHINA PETROLEUM & CHEM CORP +1
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the object of the present invention is to provide a multi-component data joint velocity analysis method based on P-S wave matching, which solves the problem of the asymmetry of the converted wave propagation path and the increase of the offset length of the three-component acquisition arrangement. and other factors make the velocity analysis of converted wave data more difficult and the accuracy of imaging decrease.

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 Joint Velocity Analysis Method Based on Multi-component Data Based on P-S Wave Matching
  • A Joint Velocity Analysis Method Based on Multi-component Data Based on P-S Wave Matching
  • A Joint Velocity Analysis Method Based on Multi-component Data Based on P-S Wave Matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0039] A multi-component data joint velocity analysis method based on compressional and shear wave matching, comprising the following steps:

[0040] (1) Dynamic common reflection point gather extraction of longitudinal and transverse wave fields

[0041] Step 1: extracting longitudinal wave CDP gather data and converting shear wave ACP gather data;

[0042] Step 2: Roughly estimate the maximum value of the P-to-S wave velocity ratio in the work area γ max and the minimum depth range h that needs to be considered during processing min , calculate the transition point position x corresponding to each seismic trace under the depth-velocity ratio p1 with y p1 ;

[0043] Step 3: Roughly estimate the minimum value of the P-to-S wave velocity ratio in the work area γ min And based on this, calculate the asymptotic transition point position x corresponding to each seis...

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 provides a multi-component data joint velocity analysis method based on longitudinal and shear wave matching, which belongs to the field of geophysical exploration data processing. The method utilizes the unified reflected wave time-distance equation of the longitudinal and transverse wave fields to simultaneously perform multi-parameter velocity analysis in the longitudinal and converted wave fields, and utilizes the synchronous comparison of the longitudinal and converted wave gathers to realize the synchronous comparison of the velocity trends between the longitudinal and transverse waves; Using the marker horizon, the relatively accurate vertical velocity ratio of the longitudinal and transverse waves is estimated synchronously, and through section compression, using the principle of consistent depth, the cycle velocity iteration is used to obtain the accurate longitudinal and transverse wave velocity field. By using the invention, the converted wave seismic data can be accurately processed, and a seismic section with high resolution, high fidelity, high signal-to-noise ratio and can clearly reflect the change characteristics of structure and lithology is obtained.

Description

technical field [0001] The invention belongs to the field of geophysical exploration data processing, and in particular relates to a multi-component data joint velocity analysis method based on longitudinal and shear wave matching. Background technique [0002] With the rapid development of multi-component exploration technology, multi-wave (that is, the data containing P-wave and converted wave, usually Z represents P-wave, X, Y represents converted wave), multi-component seismic exploration technology has been widely used in gas cloud imaging, hydrocarbon detection, fluid Lithology prediction and fracture detection methods have been applied, and have gradually played an irreplaceable role in structural imaging, lithology parameter extraction, and oil and gas reservoir identification. [0003] Due to the asymmetry of the converted wave ray path, the converted wave processing flow is different from that of conventional longitudinal wave data. Conventional converted wave vel...

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 Patents(China)
IPC IPC(8): G01V1/30
Inventor 石建新王延光韩世春毕丽飞王高成张如一梁彩丽陈雨茂
Owner CHINA PETROLEUM & CHEM 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