CN109387468A - Shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing and system - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000012360 testing method Methods 0.000 title claims abstract description 14
- 239000011148 porous material Substances 0.000 claims abstract description 38
- 239000011435 rock Substances 0.000 claims abstract description 22
- 238000004891 communication Methods 0.000 claims description 7
- 230000011218 segmentation Effects 0.000 claims description 6
- 210000000867 larynx Anatomy 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000009659 non-destructive testing Methods 0.000 abstract description 3
- 238000004364 calculation method Methods 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 5
- 238000011160 research Methods 0.000 description 4
- 238000007619 statistical method Methods 0.000 description 4
- 238000012512 characterization method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
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- 235000008733 Citrus aurantifolia Nutrition 0.000 description 1
- 235000011941 Tilia x europaea Nutrition 0.000 description 1
- 238000002591 computed tomography Methods 0.000 description 1
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- 238000002474 experimental method Methods 0.000 description 1
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- 239000004571 lime Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000005325 percolation Methods 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000011800 void material Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry
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Abstract
The invention discloses a kind of shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing and systems, this method comprises: the two-dimensional ct image of acquisition shale samples；Based on the two-dimensional ct image of the shale samples, 3-D image is re-established；Based on the 3-D image, shale nanoaperture structural characteristic parameter is obtained；Technical solution of the present invention obtains shale pore structure images using nanometer CT technology non-destructive testing shale reservoir rock core, can accurately and rapidly analyze shale reservoir rock core pore microgeometrical parameters at the nanoscale.
Description
Technical field
The invention belongs to unconventional oil and gas field exploration and development shale core experimental analysis technical field, more particularly, to
A kind of shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing and system.
Background technique
Shale reservoir nanoaperture structure reflects preserving and percolation ability and different aperture and venturi for reservoir core
Geometry, size, distribution and interconnected relationship.Shale reservoir rock core nanoaperture structural characteristic parameter is evaluating reservoir
Important indicator.Currently, micron CT, nanometer CT scan technology shale core analysis application aspect be mainly quick nondestructive examine
Shale reservoir rock core is surveyed, the rock core internal image research rock core pore structure characteristic of acquisition is utilized.
Two documents in the prior art, document in May, 2014 of volume 29,25 phases, Advances in Earth Science " based on NMR and
The shale reservoir pore configuration research of X-CT " elaborates directly to observe shale internal void development characteristics with micron CT image and lead to
It crosses CT number and carrys out quantitative judge hole.2011 27 (6) rock journals of document " in China Petroleum reservoir nano-pore find for the first time and its
Scientific value " elaborates to have found nanoaperture structure in shale reservoir with nanometer CT imaging technique, type, shape to hole
State, development characteristics are studied, and above two documents are not the problem is that provide characterization evaluation shale reservoir rock core hole
The parameter of gap structure feature.
Therefore, it is necessary to provide it is a kind of characterization evaluation shale reservoir rock core pore structure characteristic parameter method, with gram
Take deficiency in the prior art.
Summary of the invention
The purpose of the present invention is overcoming deficiency in the prior art, nanometer CT technology non-destructive testing shale reservoir rock core is utilized
Shale pore structure images are obtained, and then a kind of side of the parameter of characterization evaluation shale reservoir rock core pore structure characteristic is provided
Method.
To achieve the goals above, an aspect of of the present present invention provides a kind of shale reservoir nanoaperture structural characteristic parameter survey
Analysis method is tried, this method comprises: the two-dimensional ct image of acquisition shale samples；Two-dimentional tomograph based on the shale samples
Picture re-establishes 3-D image；Based on the 3-D image, shale nanoaperture structural characteristic parameter is obtained.
Another aspect of the present invention provides a kind of shale reservoir nanoaperture structural characteristic parameter detecting and analysing system, this is
System includes: memory, is stored with computer executable instructions；Processor, the processor run the calculating in the memory
Machine executable instruction executes following steps: acquiring the two-dimensional ct image of shale samples；Two dimension based on the shale samples is disconnected
Tomographic image re-establishes 3-D image；Based on the 3-D image, shale nanoaperture structural characteristic parameter is obtained.
Technical solution of the present invention obtains shale pore structure figure using nanometer CT technology non-destructive testing shale reservoir rock core
Picture can accurately and rapidly analyze shale reservoir rock core pore microgeometrical parameters at the nanoscale；Analysis method of the invention
Has the characteristics that a quick, machine multi-parameter.
Other features and advantages of the present invention will then part of the detailed description can be specified.
Detailed description of the invention
Exemplary embodiment of the invention is described in more detail in conjunction with the accompanying drawings, it is of the invention above-mentioned and its
Its purpose, feature and advantage will be apparent, wherein in exemplary embodiment of the invention, identical reference label
Typically represent same parts.
Fig. 1 shows a kind of stream of shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing according to the present invention
Cheng Tu.
Fig. 2 a shows the shale sagittal plane 2D image of one piece of shale core according to an embodiment of the invention.
Fig. 2 b shows the shale cross section 2D image of one piece of shale core according to an embodiment of the invention.
Fig. 2 c shows the shale coronal-plane 2D image of one piece of shale core according to an embodiment of the invention.
Fig. 2 d shows the shale 3D rendering of one piece of shale core according to an embodiment of the invention.
Fig. 3 shows one piece of shale core graph of pore diameter distribution according to an embodiment of the invention.
Fig. 4 shows one piece of shale core venturi distribution map according to an embodiment of the invention.
Specific embodiment
The preferred embodiment of the present invention is described in more detail below.Although the following describe preferred implementations of the invention
Mode, however, it is to be appreciated that may be realized in various forms the present invention without that should be limited by the embodiments set forth herein.Phase
Instead, these embodiments are provided so that the present invention is more thorough and complete, and can be by the scope of the present invention completely
It is communicated to those skilled in the art.
Embodiment 1
Fig. 1 shows a kind of stream of shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing according to the present invention
Cheng Tu.
As shown in Figure 1, an aspect of of the present present invention provides a kind of shale reservoir nanoaperture structural characteristic parameter test analysis
Method, this method comprises: step 101, acquires the two-dimensional ct image of shale samples；Step 102, based on the shale samples
Two-dimensional ct image re-establishes 3-D image；Step 103, it is based on the 3-D image, it is special to obtain shale nanoaperture structure
Levy parameter.
The present invention re-establishes 3-D image by the two-dimensional ct image of shale samples, and then realizes and obtain shale nanometer
Pore microgeometrical parameters.
The detailed description below present invention:
Step 101, the two-dimensional ct image of shale samples is acquired.
It in one example, further include preparing shale samples.
In one example, the bulk of the shale samples is 50um hereinafter, shape is any.
In one example, the two-dimensional ct image of the shale samples be several, the minimum of every width two-dimensional ct image
Pixel Dimensions are 50nm.
The shale samples of preparation are put on nanometer CT sample holder, it is disconnected that each piece of shale samples acquire several two dimensions
Tomographic image acquires picture number and is determined within the scope of the field of view, matrix of setting according to requirement of experiment.Preferred acquisition 1024 two
Tie up faultage image.
Step 102, the two-dimensional ct image based on the shale samples, re-establishes 3-D image.
In one example, importing segmentation, selection modeling region, weight are carried out to the two-dimensional ct image of the shale samples
Newly establish 3-D image.
Importing segmentation is carried out for several two-dimensional ct images of each piece of shale samples, needs interested is selected to model
Regional reconstruction 3-D image, area-of-interest size can arbitrarily be set in image range, rebuild corresponding 3-D image.
The region for needing a certain provincial characteristics to image to carry out primary part observation research is determined as interested region, example
Such as, shale internal structure is non-uniform, if interested in a certain regional structure, i.e., the settable emerging region of sense carries out primary part observation
Research.
Step 103, it is based on the 3-D image, obtains shale nanoaperture structural characteristic parameter.
In one example, the shale nanoaperture structural characteristic parameter includes porosity, average pore size, porosity communication
Property, specific surface area, distribution of pores and venturi distribution.
It is special using image processing method statistical analysis survey calculation shale nanoaperture structure using the 3-D image of reconstruction
Levy parameter.
(1) porosity: it is defined as the ratio of shale 3-D image pore volume and total volume.Selecting reconstruction three interested
It ties up in image, survey calculation shale pore volume and total volume, the two ratio obtain porosity value respectively.
(2) average pore size: it is defined as the average value of each hole maximum gauge of shale.In the 3-D image of reconstruction, point
The other each hole of survey calculation shale can accommodate the average value of non-overlap sphere maximum gauge.
(3) pore communication: the pore volume for being defined as being connected with rock core off-balancesheet face is divided by total pore volume.It is rebuilding
3-D image in statistical analysis survey calculation be connected with core outside surface pore volume and total pore volume, the two compares worth
To pore communication.
(4) the total pore surface area of rock core and the total volume ratio of rock core specific surface area: are defined as.In the three-dimensional figure of reconstruction
Statistical analysis survey calculation shale core total pore surface area and the total volume of rock core, the two ratio obtain specific surface as in
Product.
(5) distribution of pores: it is defined as the distribution of rock core different aperture diameter.In rebuilding 3-D image, statistical analysis
The each pore diameter of survey calculation, then calculate the distribution of different aperture diameter.
(6) venturi is distributed: being defined as rock core difference throat size distribution.Measurement is statisticallyd analyze in the 3-D image of reconstruction
Each hole channel cross-section value interconnected is calculated, then calculates each different cross section value size distribution.
Embodiment
Fig. 2 a shows the shale sagittal plane 2D image of one piece of shale core according to an embodiment of the invention.Fig. 2 b
Show the shale cross section 2D image of one piece of shale core according to an embodiment of the invention.Fig. 2 c is shown according to this
The shale coronal-plane 2D image of one piece of shale core of one embodiment of invention.Fig. 2 d shows a reality according to the present invention
Apply the shale 3D rendering of one piece of shale core of example.Fig. 3 shows one piece of shale core according to an embodiment of the invention
Graph of pore diameter distribution.Fig. 4 shows one piece of shale core venturi distribution map according to an embodiment of the invention.
The present invention provides a kind of shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing, this method comprises:
(1) two-dimensional ct image of shale samples is acquired；
Sampling and sample preparation, select the shale samples of representative arbitrary shape, the bulk of shale samples
No more than 50um, shale samples are put and are bonded in metal needle point under the microscope, it is a standby that each shale samples need to prepare 2-3
Use sample.
Image is obtained, shale samples, which are put into nanometer CT equipment after having prepared, adjusts imaging, and each piece of shale samples are adopted
Collect 1024 width two-dimensional ct images, image minimum resolution 50nm.
(2) two-dimensional ct image based on the shale samples, re-establishes 3-D image；
Importing segmentation is carried out for 1024 width two-dimensional ct images of each piece of shale samples, selection is interested to be needed to model
Region, rebuild 3-D image, area-of-interest size can be arbitrarily selected in image range, rebuild corresponding 3-D image,
As shown in Fig. 2 a- Fig. 2 d, in each image lime color part be selection needs interested model region and reconstruction it is opposite
The 3-D image answered.
(3) it is based on the 3-D image, obtains shale nanoaperture structural characteristic parameter.
Using the 3-D image rebuild in Fig. 2 d, survey calculation shale nanoaperture structural characteristic parameter is statisticallyd analyze:
1) porosity: 9.7%.
2) average pore diameter: 170.27nm.
3) pore communication: 86.4%.
4) specific surface area: 0.00145nm-1。
5) pore-size distribution: as shown in Figure 3.
6) venturi is distributed: as shown in Figure 4.
Embodiment 2
Another aspect of the present invention provides a kind of shale reservoir nanoaperture structural characteristic parameter detecting and analysing system, this is
System includes: memory, is stored with computer executable instructions；Processor, the processor run the calculating in the memory
Machine executable instruction executes following steps: acquiring the two-dimensional ct image of shale samples；Two dimension based on the shale samples is disconnected
Tomographic image re-establishes 3-D image；Based on the 3-D image, shale nanoaperture structural characteristic parameter is obtained.
In one example, further include the steps that preparing shale samples.
In one example, importing segmentation, selection modeling region, weight are carried out to the two-dimensional ct image of the shale samples
Newly establish 3-D image.
In one example, the shale nanoaperture structural characteristic parameter includes porosity, average pore size, porosity communication
Property, specific surface area, distribution of pores and venturi distribution.
Various embodiments of the present invention are 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.
Claims (10)
1. a kind of shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing, which is characterized in that this method comprises:
Acquire the two-dimensional ct image of shale samples；
Based on the two-dimensional ct image of the shale samples, 3-D image is re-established；
Based on the 3-D image, shale nanoaperture structural characteristic parameter is obtained.
2. shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing according to claim 1, wherein further include
Prepare shale samples.
3. shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing according to claim 1, wherein the page
The bulk of rock sample product is 50um hereinafter, shape is any.
4. shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing according to claim 1, wherein the page
The two-dimensional ct image of rock sample product is several, and the minimum pixel of every width two-dimensional ct image is having a size of 50nm.
5. shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing according to claim 1, wherein to described
The two-dimensional ct image of shale samples carries out importing segmentation, and selection modeling region re-establishes 3-D image.
6. shale reservoir nanoaperture structural characteristic parameter method for testing and analyzing according to claim 1, wherein the page
Rock nanoaperture structural characteristic parameter includes porosity, average pore size, pore communication, specific surface area, distribution of pores and venturi
Distribution.
7. a kind of shale reservoir nanoaperture structural characteristic parameter detecting and analysing system, 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:
Acquire the two-dimensional ct image of shale samples；
Based on the two-dimensional ct image of the shale samples, 3-D image is re-established；
Based on the 3-D image, shale nanoaperture structural characteristic parameter is obtained.
8. shale reservoir nanoaperture structural characteristic parameter detecting and analysing system according to claim 7, wherein further include
The step of preparing shale samples.
9. shale reservoir nanoaperture structural characteristic parameter detecting and analysing system according to claim 7, wherein to described
The two-dimensional ct image of shale samples carries out importing segmentation, and selection modeling region re-establishes 3-D image.
10. shale reservoir nanoaperture structural characteristic parameter detecting and analysing system according to claim 7, wherein described
Shale nanoaperture structural characteristic parameter includes porosity, average pore size, pore communication, specific surface area, distribution of pores and larynx
Road distribution.
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| CN112213247A (en) * | 2020-09-09 | 2021-01-12 | 同济大学 | Random cross section based irregular aggregate specific surface area test method |
| CN113447419A (en) * | 2021-06-28 | 2021-09-28 | 哈尔滨工业大学 | Dividing system for porous medium communicated pore structure unit |
| CN114324419A (en) * | 2020-09-30 | 2022-04-12 | 中国石油天然气股份有限公司 | Method, device and equipment for measuring asphalt content of rock core and storage medium |
| CN116168172A (en) * | 2023-04-19 | 2023-05-26 | 武汉中旺亿能科技发展有限公司 | Shale oil gas dessert prediction method, device, equipment and storage medium |
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| CN114324419A (en) * | 2020-09-30 | 2022-04-12 | 中国石油天然气股份有限公司 | Method, device and equipment for measuring asphalt content of rock core and storage medium |
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Application publication date: 20190226 |