Synergic variation differential evolutionary algorithm for high-dimensional parameter space wave form inversion

A technology of differential evolution algorithm and parameter space, which is applied in the field of geophysical exploration and can solve problems such as the dimensional bottleneck of differential evolution algorithm

Active Publication Date: 2013-05-22
XI AN JIAOTONG UNIV
View PDF0 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the differential evolution algorithm also suffers from the "dimensionality bottleneck" problem, and it still needs to be improved in the application of high-dimensional parameter space waveform inversion

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
  • Synergic variation differential evolutionary algorithm for high-dimensional parameter space wave form inversion
  • Synergic variation differential evolutionary algorithm for high-dimensional parameter space wave form inversion
  • Synergic variation differential evolutionary algorithm for high-dimensional parameter space wave form inversion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention is described in further detail below in conjunction with accompanying drawing:

[0038] The purpose of seismic waveform inversion is to obtain an optimal stratigraphic model, so that the seismic data calculated by the stratigraphic model can best fit the measured seismic data. The invention adopts an improved differential evolution algorithm to search for optimal formation model parameters. Based on the framework of differential evolution algorithm, referring to the idea of ​​decomposition-coordination in co-evolution algorithm, the high-dimensional problem is properly decomposed into a series of sub-problems according to the degree of interdependence of parameters, and a local fitness function is introduced to evaluate each sub-problem. The search direction of the algorithm is guided simultaneously by local fitness and global fitness.

[0039] The material basis of the invention is a large amount of seismic data collected by field high-resolution...

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 synergic variation differential evolutionary algorithm for high-dimensional parameter space wave form inversion. According to the algorithm, a thought of resolving-coordination is introduced to the differential evolutionary algorithm, a high-dimensional unit is resolved to a series of sub components and a partial fitness function is introduced for evaluating each sub component. A variation direction of each sub component is guided through partial fitness in vibration operation and each sub component is adjusted through overall situation in a selection operation so that co-evolution is achieved. Compared with a common simulated annealing method and a genetic algorithm, the synergic variation differential evolutionary algorithm is more suitable for the high-dimensional parameter space wave form inversion. Under the conditions that a layer is thin and the number of to-be-inversed parameters is large, a solution close to a true value can be researched through the synergic variation differential evolutionary algorithm. In addition, the rate of convergence of the synergic variation differential evolutionary algorithm is not sensitive to increase of a dimensionality so that the rate of the convergence is fast when the dimensionality is high.

Description

technical field [0001] The invention belongs to the field of geophysical exploration, and relates to an inversion method for physical property parameters of an earth model, in particular to a collaborative variation differential evolution algorithm for inversion of high-dimensional parameter space waveforms. Background technique [0002] With the deepening of exploration and development of oil and gas fields, the objects of oil and gas exploration are becoming more and more complex, gradually shifting from simple structural oil and gas reservoirs to complex structural oil and gas reservoirs, and from structural oil and gas reservoirs to stratigraphic-lithological and other subtle oil and gas reservoirs. How to finely describe complex structures and formation lithology is a key issue facing my country's current oil and gas exploration. The waveform inversion method directly uses the seismic waveform to invert the parameters of the underground medium, which can include various...

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): G06F19/00
Inventor 高静怀汪超王大兴
Owner XI AN JIAOTONG UNIV
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