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

Co-occurrence correlation function-based porous medium three-dimensional modeling method

A correlation function and porous media technology, applied in the field of porous media modeling based on co-occurrence correlation functions, can solve the problems of accelerating the reconstruction speed and the large difference in the real structure of the reconstructed structure

Inactive Publication Date: 2017-09-08
SICHUAN UNIV
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of large difference between the reconstructed structure and the real structure caused by the use of low-order statistics in simulated annealing. It provides a three-dimensional modeling method for porous media based on co-occurrence correlation functions, and proposes a method that can express image texture features. The co-occurrence correlation function is used as the objective function of the reconstruction process, and a fast update algorithm is further proposed to solve the speed problem in the reconstruction algorithm, which speeds up the reconstruction speed

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
  • Co-occurrence correlation function-based porous medium three-dimensional modeling method
  • Co-occurrence correlation function-based porous medium three-dimensional modeling method
  • Co-occurrence correlation function-based porous medium three-dimensional modeling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings:

[0045] (1) Scan the two-dimensional training image to obtain its co-occurrence correlation function. According to the different patterns formed by the two points, they are recorded to the corresponding positions respectively, the scanning is completed, and normalization is performed to eliminate the influence of the image size on it.

[0046](2) Initialize the target three-dimensional structure according to the porosity, and calculate its corresponding co-occurrence correlation function. The calculation method of the three-dimensional target structure is different from that of the two-dimensional image. Three tangential direction correlation functions need to be calculated separately, and then normalized and averaged. The acceptance probability of the initial structure is 0.5, and the initial temperature is set.

[0047] (3) According to the strategy of simulated anne...

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 co-occurrence correlation function-based porous medium three-dimensional modeling method. According to the method, a new correlation function is designed to be adopted as a constraint function in reconstruction to replace an original two-point probability function in a porous medium three-dimensional modeling process; and a simulated annealing algorithm framework is used in combination, so that a corresponding fast update algorithm is designed; and therefore, three-dimensional reconstruction is performed. The co-occurrence correlation function-based porous medium three-dimensional modeling method is characterized in that the concept of the co-occurrence correlation function and a porous medium three-dimensional modeling algorithm with the co-occurrence correlation function adopted as an objective function are provided; as for the problem that whenever points are exchanged, the co-occurrence correlation function of a whole structure is required to be calculated again can be solved, and the corresponding fast update algorithm is provided, and therefore, reconstruction speed is increased; and the co-occurrence correlation function is adopted as a constraint condition, and therefore, the co-occurrence correlation function-based porous medium three-dimensional modeling method has the advantages of more accurate reconstruction result, no obvious increased in time and high application value compared with a traditional two-point correlation function.

Description

technical field [0001] The invention relates to a three-dimensional modeling method for a porous medium based on a two-dimensional image, in particular to a modeling method for a porous medium based on a symbiotic correlation function, and belongs to the technical field of image processing. Background technique [0002] Core is a common type of porous medium. In the field of petroleum geology, the microstructure of the core has an important influence on its macroscopic physical properties. The digital core is a computer image processing technology that depicts the microstructure of the core in the form of an image, which can reflect the pore microstructure at the pore size level, so as to calculate the acoustic and electrical properties of the core and conduct seepage simulation process, analyze flooding. It is an effective way and method for core analysis to analyze the distribution law of oil and water changes in the replacement process. Using two-dimensional images and t...

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): G06T17/00
CPCG06T17/00
Inventor 滕奇志冯俊羲何小海卿粼波吴晓红吴小强
Owner SICHUAN UNIV
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