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

Small-scale big model forward modeling method based on wave equation

A technology of forward simulation and wave equation, applied in the field of seismic exploration, can solve the problems of large computer memory usage and low calculation efficiency

Inactive Publication Date: 2015-03-25
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the deficiencies in the prior art, the purpose of the present invention is to provide a small-scale large-model forward modeling method based on the wave equation, which solves the problems of the conventional wave equation finite difference method in the forward modeling of small-scale large models. The problem of excessive computer memory usage and low computational efficiency can effectively avoid the waste of memory resources by introducing large-scale grids at the absorption boundary, and at the same time improve the computational efficiency of forward simulation of small-scale large models

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
  • Small-scale big model forward modeling method based on wave equation
  • Small-scale big model forward modeling method based on wave equation
  • Small-scale big model forward modeling method based on wave equation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] Example 1: Design a 2D model of 1250m×1250m: when numerical simulation of the wave equation is carried out with a spatial step size of 0.125m, 2000 layers of perfectly matched layers need to be used as the absorbing boundary in order to ensure the accuracy of the seismic wave forward modeling results at this scale , the memory usage in the Linux environment is 8637M, and the calculation time using the Xeon3.20GHz processor is 6766 minutes and 43.196 seconds; while the numerical simulation of the model using a large-scale grid of 10m as the absorption boundary only needs 25 layers. It can meet the requirements. At this time, the corresponding memory usage is 4596M, and the calculation time is 2646 minutes and 40.232 seconds. Obviously, compared with the conventional wave equation finite-difference forward simulation, the memory and calculation time used by the large-scale absorbing boundary technology for the small-scale model are 53.2% and 39.1% of the original, respecti...

Embodiment 2

[0066] Example 2: In this example, a small-scale Marmousi2 model is used for trial calculation. The left and right boundaries and the lower boundary of the model adopt perfectly matched layer absorption boundary conditions, and no boundary conditions are set for the upper boundary. Compared Figure 7 (a) and Figure 7 (b) Seismic records obtained when small-scale absorbing boundaries and large-scale absorbing boundaries are used respectively, the two are highly consistent, indicating that the wave equation forward modeling method using large-scale absorbing boundaries for small-scale large models in the present invention can be accurate and effective The propagation law of simulated seismic wave in the medium.

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 small-scale big model forward modeling method based on a wave equation, and relates to the technical field of earthquake exploration. The method includes the steps of (1) absorbing boundary key parameter calculation, (2) cross-scale model design, (3) model discretization and observation system parameter design, (4) optimization and calculation of a finite difference coefficient, (5) small-scale model area forward modeling, (6) large-scale boundary area forward modeling, (7) optimization and calculation of a finite difference coefficient of a transition area, (8) forward modeling based on time step non-linear interpolation, and (9) output of wave equation forward modeling simulation records. By means of the method, a large-scale gird is introduced into an absorbing boundary, so that waste of memory resources is effectively avoided, and calculation efficiency of small-scale big model forward modeling simulation is improved.

Description

technical field [0001] The invention relates to the technical field of seismic exploration, in particular to a small-scale large-model forward modeling method based on wave equations. Background technique [0002] Wave equation forward modeling is an important part of seismic exploration and seismology research. On the basis of known underground medium structure and physical property parameters, the wave equation forward modeling method is used to explore the propagation law of seismic waves in the target layer. It has important guiding significance for oil and gas exploration by reflection seismic method. The finite-difference forward modeling method discretizes the wave equation through the finite-difference operator, and replaces the differential with the difference in the space domain and the time domain, so as to analyze the propagation law of seismic waves in the medium based on the numerical solution of the difference equation. One of the most commonly used wave equa...

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): G01V1/30
Inventor 曹丹平蒲义涛印兴耀
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