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

Missing seismic prospecting data recovery reconstruction method

A seismic exploration and seismic data technology, applied in the field of seismic exploration data processing, can solve the problems of missing seismic data recovery, inability to directly realize missing seismic data recovery, and inability to complete complex geological structures, etc. The effect of clear flow

Inactive Publication Date: 2017-08-04
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods are all based on the theoretical framework of compressive sensing, using Curvelet dictionaries to sparsely represent seismic data, and have a good recovery effect on seismic data with simple underground structures, but for seismic data with complex structures, Curvelet dictionaries cannot represent all the features most sparsely Direct recovery of missing seismic data; morphological diversity introduces a new mathematical modeling framework, combining multiple sub-dictionaries can represent the sparsest signal, but the method itself is still unable to complete the recovery of missing seismic data for complex geological structures

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
  • Missing seismic prospecting data recovery reconstruction method
  • Missing seismic prospecting data recovery reconstruction method
  • Missing seismic prospecting data recovery reconstruction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0054] A compressed sensing reconstruction method using morphological component analysis to improve the reconstruction accuracy of missing seismic data in complex geological structures (such as figure 1 shown), specifically include the following steps:

[0055] Step 1: Input incomplete complex seismic data, such as image 3 As shown, the initial morphological components (u c and u w are curvelet coefficients and non-sampled wavelet coefficients respectively), and the maximum number of cycles is set to L;

[0056] Step 2: According to the missing position of incomplete data, design the model matrix Θ:=RIΨ T ( is a constraint matrix or a sampling matrix, is the measurement matrix, is the inverse transformation operator, M g g t ,M g For measuring the number of seismic channels, N g is the number of complete seismic channels, N t is...

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 missing seismic prospecting data recovery reconstruction method, belonging to the technical field of seismic prospecting data processing. The sparse description of the complex seismic signals is carried out by means of a variety of sparse transformation methods, and combined with the new sampling model of the compression perception theory, the efficient threshold parameters are designed to recover the complex seismic profile signals of the deep reflection layer, and a data base is provided for efficient use of the various features of the complex profiles and finer underground construction imaging. The method is reliable in principle, clear in technical process and wide in application.

Description

technical field [0001] The invention belongs to the technical field of seismic exploration data processing, and in particular relates to a restoration and reconstruction method for missing seismic exploration data. Background technique [0002] With the continuous deepening of oil and gas exploration and development at home and abroad, the target of seismic exploration is gradually shifting to oil and gas reservoirs with complex structures, stratigraphy and lithological traps, and the pursuit of high-precision pre-stack migration imaging and other processing technologies requires uniform, symmetrical and continuous wave fields. False frequency sampling and regular distribution of physical attributes put forward higher requirements for the regularity and integrity of seismic exploration data. In the actual data collection, affected by the field environment and acquisition technology, the collected seismic data is missing or irregularly distributed to varying degrees, and the ...

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
CPCG01V1/301G01V2210/60
Inventor 孙苗苗李振春邢兰昌李志娜李庆洋
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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