CN109283201A - A kind of method and system for examining seismic physical model modeling accuracy - Google Patents
A kind of method and system for examining seismic physical model modeling accuracy Download PDFInfo
- Publication number
- CN109283201A CN109283201A CN201710601560.6A CN201710601560A CN109283201A CN 109283201 A CN109283201 A CN 109283201A CN 201710601560 A CN201710601560 A CN 201710601560A CN 109283201 A CN109283201 A CN 109283201A
- Authority
- CN
- China
- Prior art keywords
- physical model
- seismic physical
- modeling accuracy
- image
- dimensional
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000011218 segmentation Effects 0.000 claims abstract description 7
- 238000013461 design Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 238000012797 qualification Methods 0.000 claims description 4
- 238000002591 computed tomography Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 5
- 238000002474 experimental method Methods 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- 229920001971 elastomer Polymers 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 239000003822 epoxy resin Substances 0.000 description 3
- 229920000647 polyepoxide Polymers 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000000806 elastomer Substances 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 229920000642 polymer Polymers 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V13/00—Manufacturing, calibrating, cleaning, or repairing instruments or devices covered by groups G01V1/00 – G01V11/00
-
- G01V20/00—
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/03—Investigating materials by wave or particle radiation by transmission
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/10—Different kinds of radiation or particles
- G01N2223/101—Different kinds of radiation or particles electromagnetic radiation
- G01N2223/1016—X-ray
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/40—Imaging
- G01N2223/401—Imaging image processing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/40—Imaging
- G01N2223/41—Imaging imaging specifically internal structure
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/60—Specific applications or type of materials
- G01N2223/646—Specific applications or type of materials flaws, defects
Landscapes
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Geophysics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The invention proposes a kind of method and system for examining seismic physical model modeling accuracy, this method comprises: carrying out omnidirectional three-dimensional scanning to seismic physical model;The image of seismic physical model is reconstructed, three dimensional grey scale image is obtained;Character is marked off in the three dimensional grey scale image using threshold segmentation method;The volume, form, spatial positional information for analyzing all kinds of character, compare with pattern layout, determine modeling accuracy.The present invention utilizes X-ray CT scan seismic physical model, obtain the 3-D image of model, physical model internal structure, the volume of main feature body and spatial position are identified and analyzed, constructed model and modelling drawing are compared, to evaluate the precision of seismic physical modeling.
Description
Technical field
The present invention relates to a kind of detection evaluation fields, the precision for examining seismic physical model to model, constructed by evaluation
Physical model whether meet design requirement, and in particular to it is a kind of examine seismic physical model modeling accuracy method and system.
Background technique
Seismic physical modeling be exactly according to substance in geologic structure, using specific similarity criterion, contraction at model, according to
Its speed, density and structure, playback natural conditions similar with substance, carry out ultrasonic seismic experiment, pass through observation in a model
Data are obtained, then amplify result to substance, to instruct reality according still further to similarity criterion.During this series of experiments
It first has to modulus type and compares with prototype be similar, it is secondary that reasonable analysis is made to experimental data, to obtain really may be used
To reflect that the data of substance actual conditions, prototype are the bases of model.When specifically designing a model, usually first according to experiment condition
Selected moulded dimension ratio, after determining dimension scale, determines other parameters further according to monodrome criterion.
During model building, an important problem is the suitable cast material of selection.Structure type seismic physical mould
Type production is both at home and abroad using epoxy resin as main component, it is also one kind of new Material Field, with rubber elastomer toughening
Epoxy resin deploys physics cast material, exactly utilizes the mechanism of the epoxy resin toughened toughening effect of rubber elastomer, utilizes
The mechanism of modified blend polymer develops different composite material, using its different morphosis, mechanical property,
And other physical properties, to simulate the different geologic body in underground.
But the inhomogeneity of the systematic error as present in molding process and pattern-making material person's character, the ground of acquisition
Shake physical model may be deviated with pattern layout, and this deviation will have a direct impact on the number of subsequent 3-D seismics analog acquisition
The error generated according to quality, when so needing reliable method to modeling is assessed.
Summary of the invention
The present invention shakes physical model using X-ray CT scanner over the ground and carries out 3-D scanning, identifies and analyzes physical model
Modeling quality is evaluated in internal structure, the volume of main feature body and spatial position.
It is of the existing technology in order to solve the problems, such as, a kind of method for examining seismic physical model modeling accuracy is provided, it should
Method includes:
Omnidirectional three-dimensional scanning is carried out to seismic physical model;
The image of seismic physical model is reconstructed, three dimensional grey scale image is obtained;
Character is marked off in the three dimensional grey scale image using threshold segmentation method;
The volume, form, spatial positional information for analyzing all kinds of character, compare with pattern layout, determine modeling
Precision.
Further, physical model is shaken using X-ray CT scanner over the ground and carries out omnidirectional three-dimensional scanning.
Further, based on the information of 3-D scanning, using convolutional filtering back projection method reconstruct seismic physical model
Image.
Further, character information and the identical rate of design drawing reach 95% or more be considered as modeling accuracy qualification.
Further, the character of hole, crack, different densities is marked off in the three dimensional grey scale image.
According to another aspect of the present invention, a kind of system for examining seismic physical model modeling accuracy, the system packet are provided
It includes:
Memory is stored with computer executable instructions;
Processor, the processor run the computer executable instructions in the memory, execute following steps:
Omnidirectional three-dimensional scanning is carried out to seismic physical model;
The image of seismic physical model is reconstructed, three dimensional grey scale image is obtained;
Character is marked off in the three dimensional grey scale image using threshold segmentation method;
The volume, form, spatial positional information for analyzing all kinds of character, compare with pattern layout, determine modeling
Precision.
The present invention establishes a kind of pair of seismic physical model internal structure, the volume of main feature body and determining for spatial position
Analysis method is capable of the precision of effective evaluation seismic physical modeling, the quality control to earthquake physical modeling is realized, to mention
The quality of high subsequent seismic physical model forward simulation data establishes experiment for the method and theoretical research of seismic physical modeling
Basis.
The method that this method uses X-ray scanning, using industrial CT scanners high resolution, intuitively and not to measured object
The characteristics of generating damage, can be realized the visual evaluation to earthquake physical modeling result.
Detailed description of the invention
Disclosure illustrative embodiments are described in more detail in conjunction with the accompanying drawings, the disclosure above-mentioned and its
Its purpose, feature and advantage will be apparent, wherein in disclosure illustrative embodiments, identical reference label
Typically represent same parts.
Fig. 1 is the method flow diagram according to the inspection seismic physical model modeling accuracy of the embodiment of the present invention.
Specific embodiment
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Preferred embodiment, however, it is to be appreciated that may be realized in various forms the disclosure without the embodiment party that should be illustrated here
Formula is limited.On the contrary, these embodiments are provided so that this disclosure will be more thorough and complete, and can be by the disclosure
Range is completely communicated to those skilled in the art.
The present invention is a kind of method for examining seismic physical model modeling accuracy.This method utilizes the earthquake of X-ray CT scan
Physical model obtains the 3-D image of model, identifies and analyze physical model internal structure, the volume of main feature body and space
Position compares constructed model and modelling drawing, to evaluate the precision of seismic physical modeling.
As shown in Figure 1, the method according to an embodiment of the present invention for examining seismic physical model modeling accuracy, this method packet
It includes:
Omnidirectional three-dimensional scanning is carried out to seismic physical model, obtains the 3-D image of model;
The image of seismic physical model is reconstructed, three dimensional grey scale image is obtained;
Character is marked off in the three dimensional grey scale image using threshold segmentation method;
The volume, form, spatial positional information for analyzing all kinds of character, compare with pattern layout, determine modeling
Precision.
Industry CT is the abbreviation of industrial computer tomography technology, it can under the conditions of not damaged to detection object,
It is clear, accurate, careful, multi-level, intuitively show object to be detected in the form of two-dimensional ct image or three-dimensional image
Internal structure, composition, material and defective eigenpairs are known as current best non-destructive testing technology.Therefore, present invention preferably employs
X-ray CT scanner shakes physical model over the ground and carries out 3-D scanning acquisition 3-D image.
Next, the image of the seismic physical model using convolutional filtering back projection method reconstruct 3-D scanning, obtains three
Tie up gray level image.When convolutional back-projection reconstruction image, first initial data and the filter function by being obtained on detector into
It has gone convolution algorithm, has obtained the projection function of all directions convolution;Then they are carried out back projection from all directions again, i.e., it is former by it
Path is evenly distributed in each matrix element, and the CT value of each matrix element is obtained after being overlapped;Using after proper treatment just
The faultage image of available scanned object.Convolutional back-projection can eliminate the edge that simple back projection generates and lose sharp effect,
Radio-frequency component and reduction projection centre density in compensation projection, and guarantee that reconstruction image edge clear and inside are evenly distributed.
Then, the feature of hole, crack, different densities is marked off in the 3-D image of model using threshold segmentation method
Body.Intensity value ranges of the component of different densities in CT image be it is distinguishing, the ash of certain component is determined using Within Monominerals
Angle value range, so that it may mark off different components using intensity value ranges in the CT image of rock core.
Finally, analyzing the volume of all kinds of character, form, spatial positional information, compare, coincide with pattern layout
Rate reach 95% be considered as modeling accuracy qualification.
The present invention establishes a kind of pair of seismic physical model internal structure, the volume of main feature body and determining for spatial position
Analysis method is capable of the precision of effective evaluation seismic physical modeling, the quality control to earthquake physical modeling is realized, to mention
The quality of high subsequent seismic physical model forward simulation data establishes experiment for the method and theoretical research of seismic physical modeling
Basis.
The presently disclosed embodiments is described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or technological improvement to the technology in market for best explaining each embodiment, or lead this technology
Other those of ordinary skill in domain can understand each embodiment disclosed herein.
Claims (10)
1. a kind of method for examining seismic physical model modeling accuracy, which is characterized in that this method comprises:
Omnidirectional three-dimensional scanning is carried out to seismic physical model;
The image of seismic physical model is reconstructed, three dimensional grey scale image is obtained;
Character is marked off in the three dimensional grey scale image using threshold segmentation method;
The volume, form, spatial positional information for analyzing all kinds of character, compare with pattern layout, determine modeling accuracy.
2. the method according to claim 1 for examining seismic physical model modeling accuracy, which is characterized in that use X-ray
CT scanner carries out omnidirectional three-dimensional scanning to seismic physical model.
3. the method according to claim 1 for examining seismic physical model modeling accuracy, which is characterized in that swept based on three-dimensional
The information retouched, using the image of convolutional filtering back projection method reconstruct seismic physical model.
4. the method according to claim 1 for examining seismic physical model modeling accuracy, which is characterized in that character information
With the identical rate of design drawing reach 95% or more be considered as modeling accuracy qualification.
5. the method according to claim 1 for examining seismic physical model modeling accuracy, which is characterized in that in the three-dimensional
The character of hole, crack, different densities is marked off in gray level image.
6. a kind of system for examining seismic physical model modeling accuracy, which is characterized in that the system includes:
Memory is stored with computer executable instructions;
Processor, the processor run the computer executable instructions in the memory, execute following steps:
Omnidirectional three-dimensional scanning is carried out to seismic physical model;
The image of seismic physical model is reconstructed, three dimensional grey scale image is obtained;
Character is marked off in the three dimensional grey scale image using threshold segmentation method;
The volume, form, spatial positional information for analyzing all kinds of character, compare with pattern layout, determine modeling accuracy.
7. the system according to claim 6 for examining seismic physical model modeling accuracy, which is characterized in that use X-ray
CT scanner carries out omnidirectional three-dimensional scanning to seismic physical model.
8. the system according to claim 6 for examining seismic physical model modeling accuracy, which is characterized in that swept based on three-dimensional
The information retouched, using the image of convolutional filtering back projection method reconstruct seismic physical model.
9. the system according to claim 6 for examining seismic physical model modeling accuracy, which is characterized in that character information
With the identical rate of design drawing reach 95% or more be considered as modeling accuracy qualification.
10. the system according to claim 6 for examining seismic physical model modeling accuracy, which is characterized in that described three
The character of hole, crack, different densities is marked off in dimension gray level image.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710601560.6A CN109283201A (en) | 2017-07-21 | 2017-07-21 | A kind of method and system for examining seismic physical model modeling accuracy |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710601560.6A CN109283201A (en) | 2017-07-21 | 2017-07-21 | A kind of method and system for examining seismic physical model modeling accuracy |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109283201A true CN109283201A (en) | 2019-01-29 |
Family
ID=65184876
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710601560.6A Pending CN109283201A (en) | 2017-07-21 | 2017-07-21 | A kind of method and system for examining seismic physical model modeling accuracy |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109283201A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112184637A (en) * | 2020-09-14 | 2021-01-05 | 中国质量认证中心 | 3D prints forming part defect and assesses device on line |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5388056A (en) * | 1991-07-02 | 1995-02-07 | Hitachi, Ltd. | Method and system for vibration test |
JP2014032304A (en) * | 2012-08-03 | 2014-02-20 | National Institute Of Advanced Industrial & Technology | Information processing device, information processing method, and program |
CN103871064A (en) * | 2014-03-25 | 2014-06-18 | 中国石油大学(华东) | Preprocessing and segmentation threshold value determining method of volcanic CT images |
CN104331579A (en) * | 2014-11-19 | 2015-02-04 | 中国石油大学(华东) | Simulation method of low-permeability reservoir crude oil boundary layer |
CN104424840A (en) * | 2013-08-30 | 2015-03-18 | 中国石油天然气股份有限公司 | Manufacturing method of earthquake physical model |
CN106097368A (en) * | 2016-06-22 | 2016-11-09 | 国家林业局北京林业机械研究所 | A kind of recognition methods in veneer crack |
CN106769463A (en) * | 2016-12-20 | 2017-05-31 | 中国石油天然气集团公司 | Crack complexity quantitatively characterizing method after a kind of rock core pressure |
-
2017
- 2017-07-21 CN CN201710601560.6A patent/CN109283201A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5388056A (en) * | 1991-07-02 | 1995-02-07 | Hitachi, Ltd. | Method and system for vibration test |
JP2014032304A (en) * | 2012-08-03 | 2014-02-20 | National Institute Of Advanced Industrial & Technology | Information processing device, information processing method, and program |
CN104424840A (en) * | 2013-08-30 | 2015-03-18 | 中国石油天然气股份有限公司 | Manufacturing method of earthquake physical model |
CN103871064A (en) * | 2014-03-25 | 2014-06-18 | 中国石油大学(华东) | Preprocessing and segmentation threshold value determining method of volcanic CT images |
CN104331579A (en) * | 2014-11-19 | 2015-02-04 | 中国石油大学(华东) | Simulation method of low-permeability reservoir crude oil boundary layer |
CN106097368A (en) * | 2016-06-22 | 2016-11-09 | 国家林业局北京林业机械研究所 | A kind of recognition methods in veneer crack |
CN106769463A (en) * | 2016-12-20 | 2017-05-31 | 中国石油天然气集团公司 | Crack complexity quantitatively characterizing method after a kind of rock core pressure |
Non-Patent Citations (1)
Title |
---|
吴满生等: "复杂构造地震物理模拟正演研究", 《中国地球物理》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112184637A (en) * | 2020-09-14 | 2021-01-05 | 中国质量认证中心 | 3D prints forming part defect and assesses device on line |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | GPRInvNet: Deep learning-based ground-penetrating radar data inversion for tunnel linings | |
Attene et al. | Polygon mesh repairing: An application perspective | |
US20210270755A1 (en) | Item inspection by dynamic selection of projection angle | |
Teßmann et al. | Automatic determination of fiber-length distribution in composite material using 3D CT data | |
KR20170074812A (en) | Method of deep learning - based examination of a semiconductor specimen and system thereof | |
Bartoň et al. | Detection and reconstruction of freeform sweeps | |
US20160349193A1 (en) | Apparatus and method for examining components comprising laid fiber composite fabrics or woven fiber composite fabrics | |
Bremer et al. | Derivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality | |
CN104036538A (en) | Method and system for reconstruction and analysis of earth-rock aggregate three-dimensional microstructure | |
Li et al. | On optimizing autonomous pipeline inspection | |
CN104809756B (en) | Asphalt mixture gap spatial construction method based on X-ray CT images | |
KR20220123531A (en) | How to create a 3D tomographic image of a composite material | |
Bartscher et al. | Performance assessment of geometry measurements with micro-CT using a dismountable work-piece-near reference standard | |
CN109828028A (en) | A kind of defects in ultrasonic testing qualitative systems and qualitative method | |
Lantini et al. | An enhanced data processing framework for mapping tree root systems using ground penetrating radar | |
Hu et al. | Determination of critical slip surfaces using mutative scale chaos optimization | |
Jin et al. | Microstructural modeling method for asphalt specimens supporting 3D adaptive and automatic mesh generation | |
CN110133014A (en) | A kind of chip interior defect inspection method and system | |
Li et al. | A new approach for estimating living vegetation volume based on terrestrial point cloud data | |
Li et al. | Three-dimensional multiscale fusion for porous media on microtomography images of different resolutions | |
CN106530280B (en) | The localization method and device of organ in a kind of image | |
Wu et al. | Six‐degree‐of‐freedom generalized displacements measurement based on binocular vision | |
CN111739149A (en) | Oil-water distribution continuity restoration method of rock CT scanning image | |
Jeon et al. | High-accuracy rebar position detection using deep learning–based frequency-difference electrical resistance tomography | |
CN109283201A (en) | A kind of method and system for examining seismic physical model modeling accuracy |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190129 |