CN106323885A - Measurement method of organic substance maturity of rock sample - Google Patents
Measurement method of organic substance maturity of rock sample Download PDFInfo
- Publication number
- CN106323885A CN106323885A CN201510363849.XA CN201510363849A CN106323885A CN 106323885 A CN106323885 A CN 106323885A CN 201510363849 A CN201510363849 A CN 201510363849A CN 106323885 A CN106323885 A CN 106323885A
- Authority
- CN
- China
- Prior art keywords
- reflectance
- sample
- measuring method
- standard substance
- test
- 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.)
- Granted
Links
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention provides a measurement method of organic substance maturity of rock samples. The method includes the steps of: 1) acquiring a gray scale image of organic substances in a geological sample through digital image technology; 2) analyzing and processing gray scale level of the organic substances in the gray scale image, and according to the relationship between reflectivity and gray scale value of a standard substance under the same measurement condition, calculating reflectivity distribution of a test zone in the gray scale image of the geological sample; and 3) according to the reflectivity distribution of the test zone in the gray scale image of the geological sample, calculating average value of the reflectivity of the test zone, thereby determining the organic substance maturity of the test zone. Compared with a conventional test method, the method is more intuitive in sample observation and is more accurate in determination of the maturity, and has more convenience in result inspection.
Description
Technical field
The present invention relates to the measuring method of oil-gas geology experiment rock sample parameter, particularly relate to a kind of carbonate
Organic matter in the kerogen sample of the hydrocarbon source rock whole-rock samples such as rock, mud stone, shale, coal or the enrichment of these rocks
The measuring method of Maturity.
Background technology
Reflectance of vitrinite is the important parameter characterizing rock sample maturity of organic matter.Generally, reflectance of vitrinite is
Determined by the percentage ratio of measurement vitrinite surface reflection intensity with incident intensity.In the prior art,
It is normally based on photoelectric effect, under the reflection macroscope macroscope that incident intensity is certain, vitrinite in comparative sample
With the photosignal value (photomultiplier tube) between the standard substance of known reflectivity determines the reflectance of sample
Value.Since 1932, Huffman and Zhan Ke is slow first studies coal with the linear photometer of Bei Ruike, send out
Existing reflectance of vitrinite is relevant with coal rank, updates for measuring the test equipment of reflectance, answering of reflectance
With expanding therewith, but the principle of measurement reflectance and method defend tenaciously outmoded conventions always, and operating process is loaded down with trivial details not
Become, easily by external interference, the repeatability of testing result is the highest.
Summary of the invention
In order to solve above-mentioned technical problem, the present invention proposes a kind of rock sample maturity of organic matter measuring method, bag
Include following steps:
The gray level image that under S110, record microscope, geological sample is formed by reflection incident illumination；
S120, to geological sample gray level image exists organic matter test section carry out sampled grey, it is thus achieved that test
The intensity profile in district；
S130, according to the relation between reflectance and the gray value of the standard substance under the conditions of same test, ask for
The reflectivity distribution of test section in geological sample gray level image；
In S140, base area quality sample gray level image the reflectivity distribution of test section ask for test section reflectance put down
Average, thereby determines that the maturity of organic matter of test section.
According to embodiments of the invention, above-mentioned measuring method can also comprise the following steps:
S150, when obtain multiple test sections reflectance meansigma methods time, the reflectance meansigma methods to all test sections
Ask for total meansigma methods, thereby determine that the maturity of organic matter of entirely quality sample.
According to embodiments of the invention, can by following steps determine standard substance reflectance and gray value it
Between relation:
Select standard substance known to multiple reflectance, under the conditions of same test, measure each standard substance
Gray scale；The relation between the reflectance of standard substance and gray value is determined by matching.
According to embodiments of the invention, further, the evolution level of geological sample is estimated, according to
Estimation results selects the standard substance that multiple reflectance is close with it.
According to embodiments of the invention, preferably select, according to estimation results, the mark that at least three kinds of reflectance are close with it
Quasi-material.
According to embodiments of the invention, described standard substance be at least K9 glass (0%), sapphire (0.59%),
Yttrium-aluminium-garnet (0.90%), Gd-Ga garnet (1.72%), cubic zirconia (3.17%) and diamond
(5.21%) three kinds in.
According to embodiments of the invention, described gray scale is equal to the product of incident intensity with reflectance, wherein said
Reflectance is the parameter of the ability weighing geological sample organic matter reflection light.
Further, the value of described reflectance is more than zero and less than 1, and the value of reflectance is the biggest, represents
The reflectance of geological sample is the strongest, and reflectance is 0% explanation hypersorption incident ray, and reflectance is 100% to say
Bright total reflection incident ray.
According to embodiments of the invention, according to the reflectance and gray value of the standard substance under the conditions of same test it
Between relation, it is possible to use linear regression method asks for the reflectivity distribution of test section in geological sample gray level image.
According to embodiments of the invention, can be entered by reflection by means of dot matrix image induction apparatus record geological sample
The gray level image penetrating light and formed.
Compared with prior art, one or more embodiments of the invention has the advantage that
1) present invention uses the monochromatic CCD of 12bit or 16bit digital sample figure place, theoretical minimum analyzed area
Can be single pixel, in actual application, minimum analyzed area can be 5x5 μm or 3x3 μm, measuring point district
The more existing method of testing in territory is less, and the organic matter particle of adaptation is wider, is particularly suited for carbonate rock, mud page
In the hydrocarbon source rock total rocks such as rock in the kerogen sample of dispersed organic matter (vitrinite or Colophonium) or the enrichment of these rocks
The mensuration of organic (vitrinite or Colophonium) reflectance.
2) compared with existing microspectrophotometer equipment, the present invention uses high accuracy single-color dot matrix video camera,
Sample observation is more directly perceived, and Maturity determines more accurate, and product test is more convenient.
3) present invention replaces traditional photometer measuring method to carry out Maturity organic in quality sample definitely, it is achieved side
Formula is convenient easy, is not limited by a space, and reduces equipment cost, simplifies operating process, is advantageously implemented
Automatically test.
Other features and advantages of the present invention will illustrate in the following description, and, partly from explanation
Book becomes apparent, or understands by implementing the present invention.The purpose of the present invention and other advantages can
Realize by structure specifically noted in description, claims and accompanying drawing and obtain.
Accompanying drawing explanation
Accompanying drawing is for providing a further understanding of the present invention, and constitutes a part for description, with this
Bright embodiment is provided commonly for explaining the present invention, is not intended that limitation of the present invention.In the accompanying drawings:
Fig. 1 is the workflow diagram of rock sample maturity of organic matter measuring method in the embodiment of the present invention；
Fig. 2 is the imaging process obtaining gray level image in the embodiment of the present invention in a microscopy imaging system
Schematic diagram；
Fig. 3 a is the schematic diagram of the test section of a standard substance under the microscope in the embodiment of the present invention；
Fig. 3 b is the intensity profile schematic diagram of Fig. 3 a test section in the embodiment of the present invention；
Fig. 4 is reflectance and the gray value of the standard substance obtained by Fitting Analysis in the embodiment of the present invention
The schematic diagram of functional relationship；
Fig. 5 a is the test section comprising organic matter to be measured of geological sample under the microscope in the embodiment of the present invention
Schematic diagram；
Fig. 5 b is the intensity profile schematic diagram of Fig. 5 a test section in the embodiment of the present invention；
Fig. 5 c is the reflectivity distribution of Fig. 5 a test section obtained by regression Calculation in the embodiment of the present invention
Schematic diagram.
Detailed description of the invention
For Organic Material Thermal Evolution process, along with the increase of evolution level, organic
Maturity increases, and the chemical composition of vitrinite also can change accordingly, and reflected colour under the microscope can be by
Gradual change is bright.This point and digital picture in the gray level image technology widely used in air remote sensing and medical domain
Greyscale concept be consistent.Generally, maturity of organic matter is the highest, and reflectance of vitrinite is the biggest, reflected colour
The brightest, gray scale is the whitest, and gray value is the biggest；On the contrary, maturity of organic matter is the lowest, and reflectance of vitrinite is more
Little, reflected colour is the darkest, and gray scale is the most black, and gray value is the least.Therefore on the premise of incident intensity is certain,
The gray level difference utilizing vitrinite reflectance color can reflect the change of reflectance of vitrinite, and then has embodied
The difference of machine matter Maturity.
Based on above-mentioned principle, the present invention proposes a kind of new rock sample maturity of organic matter measuring method.Fig. 1 shows
The workflow diagram of the method.The method utilizes organic gray level image, measures organic gray level, from
And establish the Maturity of organic matter.For making the object, technical solutions and advantages of the present invention clearer, below
With accompanying drawing, the present invention is described in further detail in conjunction with the embodiments.
As in figure 2 it is shown, utilize the method in laboratory, reflectance of vitrinite to be measured, typically at polarisation
Carry out under microscope.Fig. 2 shows the imaging process of microscopy imaging system, the gray scale that people's naked eyes are seen
Image is to be formed the reflection of the light source (preferred halogen light source in this enforcement) of incident illumination by geological sample.
In the present embodiment, have employed an array CCD image sensor and record the gray level image of geological sample.Whole
The gray level image of geological sample shows the most intuitively.
The measuring point of each reflectance of vitrinite is a pocket in this gray level image, each pocket bag
Containing several pixels, then each gray areas can be defined as a two-dimensional function f (x, y), wherein x and
Y is space (plane) coordinate, and (x, y) amplitude f at place is referred to as image at this point in any pair of space coordinates
The gray scale at place, 0 < f (x, y) < ∞.
Function f (x, amplitude y) and two components about: (1) is incided the light source of geological sample and is irradiated total amount；
(2) geological sample reflectance.The two component be expressed as i (x, y) and r (x, y).The two is divided
Two functions of product of amount merge as product formed f (x, y), i.e. f (x, y)=i (x, y) r (x, y), wherein
0 < i (x, y) < ∞, 0 < r (x, y) < 1, reflecting component is limited between 0 (hypersorption) and 1 (total reflection),
Also referred to as reflectance.I (x, character y) depends on irradiation source, and r (x, character y) then depends on imaging object
The characteristic of reflection light ability itself.
For gray level image, make any coordinate (xo,yo) gray scale chart at place is shown as g=f (xo,yo), by
It is i that above formula understands the span of gminrmin=Lmin≤g≤Lmax=imaxrmax, interval [Lmin,Lmax] be referred to as
Gray level.Usually making this interval for [0,2n-1] under practical situation, wherein g=0 is black, and g=2n-1 is white
Color, n is digital sample figure place.
Sample is placed on reflection macroscope macroscope object stage, is connected to see under computer display mirror by monochromatic CCD
Image, carries out digital sample to area-of-interest, chooses organic (vitrinite, Colophonium etc.) in image uniform
The pocket (such as≤64x64pixels) of distribution carries out gray level mensuration, by the reflectance of standard substance
And the relation curve between gray value asks for test zone reflectivity distribution, and its reflectance meansigma methods is i.e.
Reflect the Maturity that this test zone is organic.
Additionally, when the number of accumulative test section reaches industry standard, it is possible to ask for organic reflection further
Rate meansigma methods, reflects the Maturity that entirely quality sample is organic.
It is below an embodiment described in detail:
Generally, before the reflectance of test geological sample, the evolution level of geological sample can be estimated,
According to estimating situation, the standard substance selecting corresponding reflectance the most close is tested, and determines that the later stage needs
The reflectance of standard substance to be used and the relation curve of gray value.And, in order to improve measuring accuracy, build
The relation of reflectance and gray value is analyzed in view at least employing two kinds, the standard substance of preferably more than three kinds.Such as,
K9 glass (0%), sapphire (0.59%), yttrium-aluminium-garnet (0.90%), Gd-Ga garnet (1.72%),
In cubic zirconia (3.17%) and diamond (5.21%) three kinds.Percentages is each standard substance
Reflectance.
In the present embodiment, the Gd-Ga garnet shown in following table table one, cubic zirconia and three, diamond are selected
Standard substance is as the object of reference of test.
| Standard substance | Reflectance | Gray value |
| Gd-Ga garnet | 1.72% | 18237.4 |
| Cubic zirconia | 3.17% | 24865.3 |
| Diamond | 5.21% | 33969.6 |
1) under identical test condition (the most identical incident illumination condition), each reference material is measured
The gray value of matter, then uses such as method of least square to be fitted these data, it is thus achieved that can describe all
The function relation curve of relation between reflectance and the gray value of three kinds of standard substances.
What Fig. 3 a presented is under microscope a kind of standard substance (diamond, reflectance 5.21%), wherein
The region that square frame indicates is test section.Fig. 3 b is then the showing of the grey value profile of test section shown in square frame in Fig. 3 a
It is intended to.Similarly, other two kinds of standard substances (Gd-Ga garnet, reflectance 1.72% are tested the most respectively；
Cubic zirconia, reflectance 3.17%) gray value, do not repeat.Then, these three standard is collected
The gray value of material, by least square fitting so that be determined to describe all three standard substance reflection
The function relation curve (seeing Fig. 4) of relation between rate and gray value.Here, these three standard substance is anti-
The matched curve penetrating rate and gray value is Ro=0.000222G-2.335986, and wherein, Ro is reflectance, and G is
Gray level.
2) keep identical test environment constant, find reflectance to be measured in geological sample under the microscope
Organic matter particle, determines its test section size, then all pixels in test section is measured gray value；Pass through
Step 1) functional relationship (namely matched curve) between the reflectance and the gray value that obtain, determine with each
The reflectance that gray value is corresponding, asks for the meansigma methods of all reflectance the most again.
The organic matter that what Fig. 5 a presented be in the geological sample under microscope, the region that wherein square frame indicates is
Comprise the test section of organic matter to be measured.Fig. 5 b be the gray value of test section shown in square frame in Fig. 5 a scattergram (
The present embodiment is rectangular histogram).Fig. 5 c is then that the matched curve obtained according to step 2 utilizes linear regression method meter
The scattergram (in the present embodiment for rectangular histogram) of the reflectance of Fig. 5 a test section calculated and obtain.And this test
The meansigma methods of the reflectance in district is 3.29%.
3) above step is that the reflectance to single test section measures.If it is necessary, can move micro-
The mirror ken looks for the next test section of geological sample, is iteratively repeated above-mentioned steps, until measuring in geological sample
The reflectance meansigma methods of all organic matter particles.
4) further, the reflectance meansigma methods of all test sections is collected, the reflectance to all test sections
Meansigma methods asks for the most total meansigma methods, as the reflectance average of entirely quality sample, reflects whole geology sample
The Maturity that product are organic.
Such as, a total of 53 test sections of geological sample, the reflectance meansigma methods to these 53 test sections
Ask for the most total meansigma methods, about 3.62%, illustrate that the reflectance average of this geological sample is 3.62%.
The above, only the present invention be embodied as case, protection scope of the present invention is not limited to
This, any be familiar with those skilled in the art in technical specification of the present invention, modifications of the present invention
Or replace, all should be within protection scope of the present invention.
Claims (10)
1. a rock sample maturity of organic matter measuring method, comprises the following steps:
The gray level image that under S110, record microscope, geological sample is formed by reflection incident illumination；
S120, to geological sample gray level image exists organic matter test section carry out sampled grey, it is thus achieved that test
The intensity profile in district；
S130, according to the relation between reflectance and the gray value of the standard substance under the conditions of same test, ask for
The reflectivity distribution of test section in geological sample gray level image；
In S140, base area quality sample gray level image the reflectivity distribution of test section ask for test section reflectance put down
Average, thereby determines that the maturity of organic matter of test section.
2. measuring method as claimed in claim 1, it is characterised in that further comprising the steps of:
S150, when obtain multiple test sections reflectance meansigma methods time, the reflectance meansigma methods to all test sections
Ask for total meansigma methods, thereby determine that the maturity of organic matter of entirely quality sample.
3. measuring method as claimed in claim 1, it is characterised in that determine reference material by following steps
Relation between reflectance and the gray value of matter:
Select standard substance known to multiple reflectance, under the conditions of same test, measure each standard substance
Gray scale；The relation between the reflectance of standard substance and gray value is determined by matching.
4. measuring method as claimed in claim 3, it is characterised in that:
Further, the evolution level of geological sample is estimated, according to estimation results select multiple instead
The standard substance that rate of penetrating is the most close.
5. measuring method as claimed in claim 4, it is characterised in that:
Further, select, according to estimation results, the standard substance that at least three kinds of reflectance are close with it.
6. the measuring method as described in any one in claims 1 to 3, it is characterised in that:
Described standard substance is at least K9 glass, sapphire, yttrium-aluminium-garnet, Gd-Ga garnet, cube oxygen
Change three kinds in zirconium and diamond.
7. the measuring method as described in any one in claims 1 to 3, it is characterised in that:
Described gray scale is equal to the product of incident intensity with reflectance, and wherein said reflectance is to weigh geological sample
The parameter of the ability of organic reflection light.
8. measuring method as claimed in claim 7, it is characterised in that:
The value of described reflectance is more than zero and less than 1, and the value of reflectance is the biggest, represents in geological sample
Organic reflectance is the strongest.
9. the measuring method as described in any one in claims 1 to 3, it is characterised in that:
The relation between reflectance and gray value according to the standard substance under the conditions of same test, utilizes linear returning
Method is returned to ask for the reflectivity distribution of test section in geological sample gray level image.
10. the measuring method as described in any one in claims 1 to 3, it is characterised in that:
The digital gray scale figure formed by reflection incident illumination by means of dot matrix image induction apparatus record geological sample
Picture.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510363849.XA CN106323885B (en) | 2015-06-26 | 2015-06-26 | A kind of rock sample maturity of organic matter measurement method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510363849.XA CN106323885B (en) | 2015-06-26 | 2015-06-26 | A kind of rock sample maturity of organic matter measurement method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106323885A true CN106323885A (en) | 2017-01-11 |
| CN106323885B CN106323885B (en) | 2019-04-02 |
Family
ID=57721577
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510363849.XA Active CN106323885B (en) | 2015-06-26 | 2015-06-26 | A kind of rock sample maturity of organic matter measurement method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106323885B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108426859A (en) * | 2018-02-23 | 2018-08-21 | 中国石油大学(华东) | A kind of reflectance of vitrinite prediction model based on overpressure retardation maturity of organic matter |
| CN110132902A (en) * | 2019-05-15 | 2019-08-16 | 重庆地质矿产研究院 | Evaluation method for maturity of organic matter of marine shale in ancient world |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1493869A (en) * | 2002-10-31 | 2004-05-05 | 宝山钢铁股份有限公司 | Coal petrography reflection rate digital automatic determination method |
| CN101950359A (en) * | 2010-10-08 | 2011-01-19 | 郝红卫 | Method for recognizing rock type |
| JP4625956B2 (en) * | 2004-08-27 | 2011-02-02 | 国立大学法人東京工業大学 | Image processing apparatus and image processing method |
| CN102254174A (en) * | 2011-07-08 | 2011-11-23 | 中铁第四勘察设计院集团有限公司 | Method for automatically extracting information of bare area in slumped mass |
| CN102930514A (en) * | 2012-09-27 | 2013-02-13 | 西安电子科技大学 | Rapid image defogging method based on atmospheric physical scattering model |
-
2015
- 2015-06-26 CN CN201510363849.XA patent/CN106323885B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1493869A (en) * | 2002-10-31 | 2004-05-05 | 宝山钢铁股份有限公司 | Coal petrography reflection rate digital automatic determination method |
| JP4625956B2 (en) * | 2004-08-27 | 2011-02-02 | 国立大学法人東京工業大学 | Image processing apparatus and image processing method |
| CN101950359A (en) * | 2010-10-08 | 2011-01-19 | 郝红卫 | Method for recognizing rock type |
| CN102254174A (en) * | 2011-07-08 | 2011-11-23 | 中铁第四勘察设计院集团有限公司 | Method for automatically extracting information of bare area in slumped mass |
| CN102930514A (en) * | 2012-09-27 | 2013-02-13 | 西安电子科技大学 | Rapid image defogging method based on atmospheric physical scattering model |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108426859A (en) * | 2018-02-23 | 2018-08-21 | 中国石油大学(华东) | A kind of reflectance of vitrinite prediction model based on overpressure retardation maturity of organic matter |
| CN108426859B (en) * | 2018-02-23 | 2020-07-07 | 中国石油大学(华东) | Vitrinite reflectivity prediction model based on overpressure inhibition organic matter maturity |
| CN110132902A (en) * | 2019-05-15 | 2019-08-16 | 重庆地质矿产研究院 | Evaluation method for maturity of organic matter of marine shale in ancient world |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106323885B (en) | 2019-04-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10753861B2 (en) | Methods for colorimetric analysis | |
| Rubin | A simple autocorrelation algorithm for determining grain size from digital images of sediment | |
| EP1428016B1 (en) | Method of quantitative video-microscopy and associated system and computer software program product | |
| EP1470411B1 (en) | Method for quantitative video-microscopy and associated system and computer software program product | |
| KR102380592B1 (en) | Systems and methods for detecting crack growth | |
| EP3311144B1 (en) | Colour measurement of gemstones | |
| US9275441B2 (en) | Method for preparing quantitative video-microscopy and associated system | |
| AU2002334590A1 (en) | Method quantitative video-microscopy and associated system and computer software program product | |
| AU2003236675A1 (en) | Method for quantitative video-microscopy and associated system and computer software program product | |
| CA2864135A1 (en) | Method and system for analyzing a colorimetric assay | |
| Kozakiewicz | Image analysis algorithm for detection and measurement of Martian sand grains | |
| Wu et al. | Rapid determination of soil organic matter content based on soil colour obtained by a digital camera | |
| CN211877766U (en) | Water turbidity measuring device based on infrared camera shooting | |
| CN106323885A (en) | Measurement method of organic substance maturity of rock sample | |
| Borrego et al. | Influence of particle and surface quality on the vitrinite reflectance of dispersed organic matter: comparative exercise using data from the qualifying system for reflectance analysis working group of ICCP | |
| Buono et al. | Quantitative digital petrography: full thin section quantification of pore space and grains | |
| Valous et al. | Spatial intratumoral heterogeneity of proliferation in immunohistochemical images of solid tumors | |
| Zheleznyak et al. | Flatbed scanner as an instrument for physical studies | |
| Andrews et al. | The Measurement of Sediment Color Using the Colortron™ Spectrophotometer | |
| Floyd | Image analysis in immunohistochemistry | |
| AU2007249081B2 (en) | Method quantitative video-microscopy and associated system and computer software program product | |
| Zashchepkina et al. | PERSPECTIVES OF USING TELEVISION INFORMASION-MEASURING SYSTEMS | |
| Kubitscheck | Appendix A: What Exactly is a Digital Image? | |
| Holden | Intramolecular FRET efficiency measures for time-lapse fluorescence microscopy images | |
| KR20030091100A (en) | Apparatus and method for inspect homogeneity of thin film by using Infrared Transmission Imaging Technique |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |