CN110672496A - Pore measurement method, device, equipment and storage medium - Google Patents
Pore measurement method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN110672496A CN110672496A CN201911075743.4A CN201911075743A CN110672496A CN 110672496 A CN110672496 A CN 110672496A CN 201911075743 A CN201911075743 A CN 201911075743A CN 110672496 A CN110672496 A CN 110672496A
- Authority
- CN
- China
- Prior art keywords
- image
- pore
- mineral
- area
- sample
- 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
- 239000011148 porous material Substances 0.000 title claims abstract description 191
- 238000000691 measurement method Methods 0.000 title claims abstract description 22
- 238000003860 storage Methods 0.000 title claims abstract description 18
- 239000011435 rock Substances 0.000 claims abstract description 79
- 238000012545 processing Methods 0.000 claims abstract description 55
- 238000000034 method Methods 0.000 claims abstract description 34
- 238000005259 measurement Methods 0.000 claims abstract description 15
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 149
- 239000011707 mineral Substances 0.000 claims description 149
- 239000000725 suspension Substances 0.000 claims description 20
- 238000001914 filtration Methods 0.000 claims description 15
- 238000005516 engineering process Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 12
- 238000004458 analytical method Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 7
- 238000009826 distribution Methods 0.000 claims description 4
- 238000010191 image analysis Methods 0.000 abstract description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 18
- 239000007789 gas Substances 0.000 description 14
- 238000010586 diagram Methods 0.000 description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 10
- 239000003345 natural gas Substances 0.000 description 9
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 6
- 229910052753 mercury Inorganic materials 0.000 description 6
- 238000011161 development Methods 0.000 description 5
- 238000010894 electron beam technology Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000003825 pressing Methods 0.000 description 4
- 238000005303 weighing Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 239000003245 coal Substances 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
- 238000005553 drilling Methods 0.000 description 2
- 239000001307 helium Substances 0.000 description 2
- 229910052734 helium Inorganic materials 0.000 description 2
- SWQJXJOGLNCZEY-UHFFFAOYSA-N helium atom Chemical compound [He] SWQJXJOGLNCZEY-UHFFFAOYSA-N 0.000 description 2
- 230000002427 irreversible effect Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000004927 clay Substances 0.000 description 1
- 239000002734 clay mineral Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000003822 epoxy resin Substances 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 229910001872 inorganic gas Inorganic materials 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
- 229920000647 polyepoxide Polymers 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 229920005989 resin Polymers 0.000 description 1
- 239000011347 resin Substances 0.000 description 1
- 238000009738 saturating Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30184—Infrastructure
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Dispersion Chemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Geometry (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The application discloses a pore measurement method, a pore measurement device, pore measurement equipment and a storage medium, wherein the method comprises the following steps: obtaining a sample image, wherein the sample image is obtained by scanning a rock sample to be processed by an acquisition device; performing image processing on the sample image to generate a pore image, wherein the pore image comprises a pore area which is used for representing at least one pore existing in the rock sample to be processed; pore data is determined from the pore image. The pore measurement method provided by the application can be used for carrying out image processing on a sample image obtained after a rock sample to be processed is scanned, obtaining an accurate pore image, and further carrying out image analysis processing to obtain pore data.
Description
Technical Field
The invention relates to the technical field of oil and gas exploration and development, in particular to a pore measurement method, a pore measurement device, pore measurement equipment and a storage medium.
Background
Along with the increasing demand of various countries on oil and gas yield, unconventional natural gas resources represented by dense gas, coal bed gas, shale gas and the like become key exploration and development objects of natural gas industries of various countries in the world at present, the porosity is taken as the important physical property of a rock and mineral porous medium, and the porosity quantitatively represents the ratio of the pore volume in the total volume of reservoir rock as an oil and gas resource storage space. In order to better guide the exploration and development of oil and gas and accurately measure the geomechanical properties of rocks in time, the measurement and research of the porosity of an actual rock sample obtained by drilling and coring are necessary.
In the traditional technology, a water saturation weighing method and a mercury pressing method are adopted for measuring the porosity of a reservoir rock sample, wherein the water saturation weighing method needs to saturate a rock sample water phase in advance, but the pretreatment time for completely saturating the rock sample is long, clay minerals and organic matters in the rock sample are easy to generate irreversible chemical reaction with water to cause the damage of the rock sample, and the mercury pressing method is used for determining the porosity by overcoming the surface tension of mercury and entering the pores through external pressure.
However, the existing porosity measuring instrument has high cost and complex measuring process, and is very easy to damage rock samples and influence the measuring accuracy.
Disclosure of Invention
In view of the above-mentioned drawbacks and deficiencies of the prior art, it is desirable to provide a pore measurement method, device, apparatus and storage medium, which not only can reduce the measurement cost, but also has a simple measurement method and greatly improves the measurement accuracy of pore data.
The pore measurement method provided by the embodiment of the application comprises the following steps:
acquiring a sample image, wherein the sample image is obtained by scanning a rock sample to be processed by an acquisition device;
carrying out image processing on the sample image to generate a pore image, wherein the pore image comprises a pore area which is used for representing at least one pore existing in the rock sample to be processed;
pore data is determined from the pore image.
In one embodiment, the image processing the sample image to generate the pore image includes:
filtering the sample image to obtain a mineral image, wherein the mineral image comprises a mineral area, a first non-mineral area and a second non-mineral area, the first non-mineral area is located outside the mineral area, and the second non-mineral area is located inside the mineral area;
processing the mineral image by adopting a pixel inversion technology to obtain a non-mineral image;
filling a second non-mineral area in the mineral image to obtain a rock mask image;
processing the rock mask image by adopting a pixel inversion technology to obtain a suspension medium image;
and (4) carrying out subtraction processing on the non-mineral image and the suspension medium image to generate a pore image.
In one embodiment, the filtering the sample image to obtain the mineral image includes:
acquiring a pixel value of a sample image;
and when the pixel value exceeds a preset pixel threshold value, determining that the area of the sample image corresponding to the pixel value is a mineral area, otherwise, determining that the area is a non-mineral area.
In one embodiment, filling in a second non-mineral region in the mineral image results in a rock mask image comprising:
determining a pixel difference between each pixel value in the mineral area and each pixel value in the non-mineral area in the mineral image;
calculating a pixel span value according to the pixel difference;
and filling the second non-mineral area according to the pixel span value to obtain a rock mask image.
In one embodiment, determining pore data from the pore image comprises:
carrying out mesh division on the pore image to determine the pore shape;
and carrying out fitting analysis processing on the pore shape to obtain pore data.
In one embodiment, the pore data includes at least one of: pore area, maximum pore diameter, minimum pore diameter, pore aspect ratio, porosity, and pore size distribution.
In a second aspect, an embodiment of the present application provides an aperture measuring device, comprising:
the acquisition module is used for acquiring a sample image, and the sample image is obtained after the acquisition device scans a sample to be processed;
the image generation module is used for carrying out image processing on the sample image to generate a pore image, and the pore image comprises a pore area which is used for representing at least one pore existing in the rock sample to be processed;
a determination module to determine pore data from the pore image.
In one embodiment, the image generation module includes:
the filtering unit is used for filtering the sample image to obtain a mineral image, wherein the mineral image comprises a mineral area, a first non-mineral area and a second non-mineral area, the first non-mineral area is located outside the mineral area, and the second non-mineral area is located inside the mineral area;
the first pixel inversion unit is used for processing the mineral image by adopting a pixel inversion technology to obtain a non-mineral image;
the filling unit is used for filling a second non-mineral area in the mineral image to obtain a rock mask image;
the second pixel inversion unit is used for processing the rock mask image by adopting a pixel inversion technology to obtain a suspension medium image;
and the subtraction unit is used for carrying out subtraction processing on the non-mineral image and the suspension medium image to generate a pore image.
In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the above-mentioned pore measurement method when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, implementing the above-mentioned pore measurement method.
In summary, according to the pore measurement method, the apparatus, the device, and the storage medium provided in the embodiments of the present application, the pore image is generated by acquiring the sample image obtained by scanning the rock sample to be processed by the acquisition device and performing image processing on the sample image, and the pore image includes a pore area, where the pore area is used to represent at least one pore existing in the rock sample to be processed, and determine pore data according to the pore image. According to the technical scheme, the sample image can be subjected to image processing, so that an accurate pore image is obtained, and pore data are obtained after the image is analyzed.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is a schematic flow chart of a pore measurement method provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a method for determining an image of a pore according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a texture structure for image processing of a sample image according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of an aperture measurement apparatus according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a computer system according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It can be understood that the unconventional natural gas refers to natural gas which cannot be profitably exploited within a specific period of time due to various reasons, and can be converted into conventional natural gas at a certain stage, and at the present stage, the unconventional natural gas mainly refers to natural gas stored in the forms of coal bed gas, shale gas, water-soluble gas, natural gas hydrate, inorganic gas, shallow biogas, tight sandstone gas and the like, and because reservoir rock of the unconventional natural gas has extremely low porosity and shale has a large amount of micro-and nano-pores, it is very important to measure and research actual rock samples obtained by well drilling and coring. The existing pore measurement adopts a water saturation weighing method, a mercury pressure method or a helium gas porosity meter method, wherein the water saturation weighing method needs to saturate a rock and ore sample with water phase in advance, but the pretreatment time of the rock and ore sample for complete water saturation is long, and clay substances and excellent organic substances in the rock and ore sample are easy to generate irreversible chemical reaction with water, so that the sample is damaged; the mercury pressing method adopts a mercury pressing instrument to damage the pore structure of a sample, so that repeated tests cannot be carried out; the helium gas porosity method has high requirement on the tightness of a measuring instrument, the cost of the instrument is high, the measuring process is complex and the speed is low, and the measuring accuracy is influenced.
Based on the defects, the pore measurement method provided by the application generates the pore image by carrying out image processing on the acquired sample image, and determines the pore data according to the pore image, so that the accurate pore image can be obtained, and further the pore data can be obtained after image analysis.
The pore measurement system provided by the embodiment can be applied to the technical field of oil and gas exploration and development, can also be applied to the technical field of geological property research of rocks and the like, and can measure and analyze rock samples of underground reservoirs so as to directly or indirectly determine pore data.
For convenience of understanding and explanation, the pore measurement method, the apparatus, the device and the storage medium provided by the embodiments of the present application are explained in detail below with reference to fig. 1 to 5.
Fig. 1 is a schematic flow chart of a pore measurement method according to an embodiment of the present disclosure. As shown in fig. 1, the method includes:
s101, obtaining a sample image, wherein the sample image is obtained after the acquisition device scans a rock sample to be processed.
Specifically, one or more geological samples may be collected and prepared, where the geological sample may be a outcrop of rock or a drill core rock debris, and the geological sample is cut into a size by a wire cutting machine to obtain a cut rock sample, and the cut rock sample is filled into a suspension medium to form a commonly-shaped rock sample to be processed, for example, the surface of the rock sample to be processed may be rectangular, circular, or the like, where the suspension medium may include epoxy resin, wax, bonded powder plastic, or other resins, and the rock sample damage caused by the geological sample during the cutting process may be avoided by filling the cut rock sample into the suspension medium to form the rock sample to be processed in a proper shape. Optionally, the rock sample to be processed may be randomly divided into a plurality of analysis regions, where the analysis regions are used for analysis and imaging, and after the rock sample to be processed is obtained, the rock sample to be processed is placed in the sample chamber, and each analysis region is scanned by the acquisition device, so as to obtain a sample image, where the sample image may be one or a plurality of sample images, and is used for performing analysis and calculation on the pore region of the sample.
Wherein, this collection system includes sample room and scanning electron microscope, scanning electron microscope is connected with processing apparatus electricity, scanning electron microscope is located the upper portion of sample room, the sample room is used for placing pending rock specimen, scanning electron microscope includes the lens cone, the inside electron gun that includes of lens cone, magnetic lens, scanning coil and final lens, the electron gun throws the electron beam to magnetic lens, make the diameter of the electron beam that magnetic lens pair reduce the processing, with confirm the electron beam after reducing and send to scanning coil, scanning coil will reduce the electron beam direction after deflecting and send to final lens, so that the optical center that the electron beam after reducing sees through final lens projects pending rock specimen surface.
After the acquisition device obtains the sample image, the sample image is sent to the computer equipment, so that the computer equipment acquires the sample image.
S102, carrying out image processing on the sample image to generate a pore image, wherein the pore image comprises a pore area which is used for representing at least one pore existing in the rock sample to be processed.
And S103, determining pore data according to the pore image.
In the embodiment of the application, after the sample image is acquired, the sample image is processed, and the pore image can be acquired through image processing operations such as image filtering, image inversion, pore filling, image subtraction and the like, wherein the pore image includes a pore region, and the pore region is acquired by image processing of a pore in a rock sample to be processed, and one or more pores in the rock sample to be processed may be acquired.
It should be noted that, after the pore image is obtained, the pore image is subjected to mesh division to determine the pore shape, and the pore shape is subjected to fitting analysis processing to obtain pore data, where the pore data may include: pore area, maximum pore diameter, minimum pore diameter, pore aspect ratio, porosity, and pore size distribution.
According to the pore measurement method provided by the embodiment, the pore image is generated by acquiring the sample image obtained by scanning the rock sample to be processed by the acquisition device and performing image processing on the sample image, wherein the pore image comprises a pore area, the pore area is used for representing at least one pore existing in the rock sample to be processed, and the pore data is determined according to the pore image. According to the technical scheme, the sample image can be subjected to image processing, so that an accurate pore image is obtained, and pore data are obtained after the image is analyzed.
On the basis of the foregoing embodiments, fig. 2 is a schematic flowchart of a method for generating a pore image provided in the embodiments of the present application. As shown in fig. 2, the method includes:
s201, filtering the sample image to obtain a mineral image, wherein the mineral image comprises a mineral area, a first non-mineral area and a second non-mineral area, the first non-mineral area is located outside the mineral area, and the second non-mineral area is located inside the mineral area.
Specifically, a pixel value of the sample image may be obtained first, when the pixel value exceeds a preset pixel threshold, a region of the sample image corresponding to the pixel value is determined to be a mineral region, and for a region that does not exceed the preset threshold, the region is determined to be a non-mineral region, as shown in fig. 3, the sample image 110 is filtered to obtain a mineral image 210, where the mineral image 210 includes a mineral region 212, a first non-mineral region 211, and a second non-mineral region 213, where the first non-mineral region 211 is located outside the mineral region 212, and the second non-mineral region 213 is located inside the mineral region 212.
It should be noted that, because the mineral components in different regions of the rock sample to be processed are different, the preset pixel thresholds set for the different regions may be different, and the sample images obtained after a plurality of different regions are irradiated may correspond to a plurality of preset pixel thresholds after the image filtering processing is performed.
Optionally, image noise may exist in the sample image, and in order to remove the image noise, a second pixel threshold may be set, where the second pixel threshold is smaller than a preset pixel threshold, a region smaller than the second pixel threshold in the sample image is determined as an undetermined region, and the undetermined region is image noise and is filtered out.
And S202, processing the mineral image by adopting a pixel inversion technology to obtain a non-mineral image.
And S203, filling a second non-mineral area in the mineral image to obtain a rock mask image.
After the mineral image is acquired, the mineral image 210 may be processed using a pixel inversion technique to obtain a non-mineral image 220, and a second non-mineral region 213 in the mineral image 210 may be filled in to obtain a rock mask image 230.
It should be noted that, when filling the second non-mineral area in the mineral image, a pixel difference between each pixel value in the mineral area and each pixel value in the non-mineral area in the mineral image may be determined, a pixel span value is calculated according to the pixel difference, and the second non-mineral area in the mineral image is filled according to the pixel span value to obtain a rock mask image 230, where the rock mask image may include a rock area 231, and the rock area includes the filled second non-mineral area and the mineral area.
And S204, processing the rock mask image by adopting a pixel inversion technology to obtain a suspension medium image.
And S205, subtracting the non-mineral image and the suspension medium image to generate a pore image.
Specifically, after obtaining the rock mask image 230, the rock mask image is processed by using a pixel inversion technique to obtain a suspension medium image 221, and the non-mineral image 220 and the suspension medium image 221 are subjected to subtraction processing to generate a pore image 240, where the pore image 240 includes a pore region 241 and a non-pore region 242.
Further, after the pore image is determined, the pore image can be subjected to grid division to determine the pore shape, and the pore shape is subjected to fitting analysis and measurement, so that pore data are obtained. Alternatively, Image processing functions available in open source software programs such as SIP (Session Initiation Protocol), GIMP (GNU Image management program), or other Image processing software such as Adobe (operating in batch mode) or general purpose technical computing programs such as MATLAB may be used.
Additionally, the mechanical properties of the subsurface rock, which may include strength properties, brittleness properties, permeability, organic content saturation, and water saturation, may be determined from the pore data to direct or adjust hydrocarbon recovery operations, such as geological exploration, seismic exploration, mining, fracturing, well intervention, and the like.
According to the method for generating the pore image, the sample image is filtered to obtain the mineral image, the mineral image comprises a mineral area, a first non-mineral area and a second non-mineral area, the mineral image is processed by adopting a pixel inversion technology to obtain the non-mineral image, the second non-mineral area in the mineral image is filled to obtain the rock mask image, the rock mask image is processed by adopting the pixel inversion technology to obtain the suspension medium image, and the non-mineral image and the suspension medium image are subjected to subtraction processing to generate the pore image. According to the method, the mineral image can be accurately obtained after the sample image is subjected to filtering processing, the non-mineral image and the suspension medium mask are obtained after the mineral image is subjected to image processing such as pixel inversion and pore filling, and then the visual and clear pore image can be obtained through image subtraction processing, so that the determined pore data can be further more accurate, and the exploration and development for better knowing oil gas can be realized.
It should be noted that while the operations of the method of the present invention are depicted in the drawings in a particular order, this does not require or imply that the operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Rather, the steps depicted in the flowcharts may change the order of execution. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Fig. 4 is a schematic structural diagram of a pore measurement device according to an embodiment of the present invention. As shown in fig. 4, the apparatus may implement the methods shown in fig. 1 to 2, and may include:
the acquisition module 10 is used for acquiring a sample image, wherein the sample image is obtained by scanning a sample to be processed by an acquisition device;
an image generating module 20, configured to perform image processing on the sample image to generate a pore image, where the pore image includes a pore region, and the pore region is used to represent at least one pore existing in the rock sample to be processed;
a determining module 30 for determining pore data from the pore image.
Optionally, the image generating module 20 includes:
a filtering unit 201, configured to perform filtering processing on the sample image to obtain a mineral image, where the mineral image includes a mineral area, a first non-mineral area, and a second non-mineral area, the first non-mineral area is located outside the mineral area, and the second non-mineral area is located inside the mineral area;
a first pixel inversion unit 202, configured to process the mineral image by using a pixel inversion technique to obtain a non-mineral image;
a filling unit 203, configured to fill the second non-mineral area in the mineral image to obtain a rock mask image;
the second pixel inversion unit 204 is configured to process the rock mask image by using a pixel inversion technique to obtain a suspension medium image;
and the subtraction processing unit 205 is used for performing subtraction processing on the non-mineral image and the suspension medium image to generate a pore image.
Optionally, the filtering unit 201 is specifically configured to:
acquiring pixel values of the sample image;
and when the pixel value exceeds a preset pixel threshold value, determining that the area of the sample image corresponding to the pixel value is the mineral area, otherwise, determining that the area is the non-mineral area.
Optionally, the filling unit 203 is specifically configured to:
determining a pixel difference between each pixel value in a mineral region and each pixel value in the non-mineral region in the mineral image;
calculating a pixel span value according to the pixel difference;
and filling the second non-mineral area according to the pixel span value to obtain the rock mask image.
Optionally, the determining module 30 includes:
a mesh division unit 301, configured to perform mesh division on the pore image, and determine a pore shape;
and a fitting processing unit 302, configured to perform fitting analysis processing on the pore shape to obtain pore data.
Optionally, the pore data includes at least one of: pore area, maximum pore diameter, minimum pore diameter, pore aspect ratio, porosity, and pore size distribution.
The pore measurement device provided by the embodiment can execute the embodiments of the method, and the implementation principle and the technical effect are similar, and are not described herein again.
Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention. As shown in fig. 5, a schematic structural diagram of a computer system 500 suitable for implementing the terminal device or the server of the embodiment of the present application is shown.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the system 500 are also stored. The CPU501, ROM502, and RAM603 are connected to each other via a bus 504. An input/output (I/O) interface 506 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. A driver 510 is also connected to the I/O interface 506 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, the processes described above with reference to fig. 1-2 may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method of fig. 1-2. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor, and may be described as: a processor includes an acquisition module, an image generation module, and a determination module. Where the names of such units or modules do not in some cases constitute a limitation of the unit or module itself, for example, an acquisition module may also be described as "for acquiring an image of a specimen obtained by scanning a sample to be processed by an acquisition device".
As another aspect, the present application also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the foregoing device in the foregoing embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the pore measurement methods described herein.
In summary, according to the pore measurement method, the apparatus, the device, and the storage medium provided in the embodiments of the present application, the pore image is generated by acquiring the sample image obtained by scanning the rock sample to be processed by the acquisition device and performing image processing on the sample image, and the pore image includes the pore area, where the pore area is used to represent at least one pore existing in the rock sample to be processed, and determine pore data according to the pore image. According to the technical scheme, the sample image can be subjected to image processing, so that an accurate pore image is obtained, and pore data are obtained after the image is analyzed.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. A pore measurement method, comprising:
obtaining a sample image, wherein the sample image is obtained by scanning a rock sample to be processed by an acquisition device;
performing image processing on the sample image to generate a pore image, wherein the pore image comprises a pore area which is used for representing at least one pore existing in the rock sample to be processed;
pore data is determined from the pore image.
2. The method of claim 1, wherein the image processing the sample image to generate an aperture image comprises:
filtering the sample image to obtain a mineral image, wherein the mineral image comprises a mineral area, a first non-mineral area and a second non-mineral area, the first non-mineral area is located outside the mineral area, and the second non-mineral area is located inside the mineral area;
processing the mineral image by adopting a pixel inversion technology to obtain a non-mineral image;
filling the second non-mineral area in the mineral image to obtain a rock mask image;
processing the rock mask image by adopting a pixel inversion technology to obtain a suspension medium image;
and carrying out subtraction processing on the non-mineral image and the suspension medium image to generate a pore image.
3. The pore measurement method according to claim 2, wherein the filtering process of the sample image to obtain a mineral image comprises:
acquiring pixel values of the sample image;
and when the pixel value exceeds a preset pixel threshold value, determining that the area of the sample image corresponding to the pixel value is the mineral area, otherwise, determining that the area is the non-mineral area.
4. The pore measurement method of claim 2, wherein said filling a second non-mineral area in said mineral image to obtain a rock mask image comprises:
determining a pixel difference between each pixel value in a mineral region and each pixel value in the non-mineral region in the mineral image;
calculating a pixel span value according to the pixel difference;
and filling the second non-mineral area according to the pixel span value to obtain the rock mask image.
5. The method of claim 1, wherein determining pore data from the pore image comprises:
carrying out mesh division on the pore image to determine the pore shape;
and performing fitting analysis processing on the pore shape to obtain pore data.
6. The method of claim 1, wherein the pore data includes at least one of: pore area, maximum pore diameter, minimum pore diameter, pore aspect ratio, porosity, and pore size distribution.
7. An aperture measuring device, characterized in that the device comprises:
the acquisition module is used for acquiring a sample image, and the sample image is obtained after a to-be-processed sample is scanned by an acquisition device;
the image generation module is used for carrying out image processing on the sample image to generate a pore image, wherein the pore image comprises a pore area which is used for representing at least one pore existing in the rock sample to be processed;
a determination module to determine pore data from the pore image.
8. The pore measurement device of claim 7, wherein the image generation module comprises:
the filtering unit is used for filtering the sample image to obtain a mineral image, wherein the mineral image comprises a mineral area, a first non-mineral area and a second non-mineral area, the first non-mineral area is located outside the mineral area, and the second non-mineral area is located inside the mineral area;
the first pixel inversion unit is used for processing the mineral image by adopting a pixel inversion technology to obtain a non-mineral image;
a filling unit, configured to fill the second non-mineral area in the mineral image to obtain a rock mask image;
the second pixel inversion unit is used for processing the rock mask image by adopting a pixel inversion technology to obtain a suspension medium image;
and the subtraction processing unit is used for carrying out subtraction processing on the non-mineral image and the suspension medium image to generate a pore image.
9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the pore measurement method of any one of claims 1-6.
10. A computer-readable storage medium having stored thereon a computer program for implementing the method of pore measurement according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911075743.4A CN110672496A (en) | 2019-11-06 | 2019-11-06 | Pore measurement method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911075743.4A CN110672496A (en) | 2019-11-06 | 2019-11-06 | Pore measurement method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110672496A true CN110672496A (en) | 2020-01-10 |
Family
ID=69086279
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911075743.4A Pending CN110672496A (en) | 2019-11-06 | 2019-11-06 | Pore measurement method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110672496A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111812005A (en) * | 2020-06-22 | 2020-10-23 | 五邑大学 | Method and device for measuring effective contact area of sandy soil |
| CN112085693A (en) * | 2020-06-24 | 2020-12-15 | 中国科学院武汉岩土力学研究所 | Method and system for evaluating porosity ratio and reconstructing form of internal structure of soil-rock mixture |
| CN113850689A (en) * | 2021-09-24 | 2021-12-28 | 西南石油大学 | Pore structure joint characterization method based on least square method and data processing method |
-
2019
- 2019-11-06 CN CN201911075743.4A patent/CN110672496A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111812005A (en) * | 2020-06-22 | 2020-10-23 | 五邑大学 | Method and device for measuring effective contact area of sandy soil |
| CN112085693A (en) * | 2020-06-24 | 2020-12-15 | 中国科学院武汉岩土力学研究所 | Method and system for evaluating porosity ratio and reconstructing form of internal structure of soil-rock mixture |
| CN112085693B (en) * | 2020-06-24 | 2022-09-20 | 中国科学院武汉岩土力学研究所 | Method and system for evaluating porosity ratio and reconstructing form of internal structure of soil-rock mixture |
| CN113850689A (en) * | 2021-09-24 | 2021-12-28 | 西南石油大学 | Pore structure joint characterization method based on least square method and data processing method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110672496A (en) | Pore measurement method, device, equipment and storage medium | |
| RU2543698C1 (en) | Analysis of petrographic images for detection of capillary pressure in porous media | |
| Madonna et al. | Synchrotron-based X-ray tomographic microscopy for rock physics investigations | |
| CN110231272B (en) | Compact sandstone pore diameter and nuclear magnetic resonance T2Method and system for determining value conversion relation | |
| CN103513285B (en) | A kind of method and device determining horizontal surface relaxation rate | |
| CN104237284B (en) | The magnetic resonance detection method of brittle property mud shale microcrack damage | |
| CN105466830A (en) | A pore-throat dimension distribution identification method for reservoir sandstone | |
| CN107402176B (en) | method and device for determining porosity of crack | |
| CN105510204A (en) | Permeability predication method based on CT (computed tomography) images | |
| CN106198579A (en) | A kind of measure the method for the content of organic matter in shale | |
| CN104375204A (en) | Method and device for analyzing anisotropism of reservoir | |
| CN110487693A (en) | A kind of method of determining mud shale different type porosity | |
| CN105114067A (en) | Lithology electrofacies method | |
| CN107688037A (en) | It is a kind of that the method for determining Rock in Well grading curve is distributed using nuclear magnetic resonance log T2 | |
| CN106644879B (en) | A kind of method and device of determining rock core different aperture component permeability contribution margin | |
| CN109298464B (en) | Tight sandstone reservoir diagenetic facies logging identification method and device | |
| Pal et al. | Porosity estimation by digital image analysis | |
| Tonai et al. | A new method for quality control of geological cores by X-ray computed tomography: Application in IODP expedition 370 | |
| CN109738955B (en) | Metamorphic rock lithology comprehensive judgment method based on component-structure classification | |
| CN116299764A (en) | Geochemical tracing method for hidden sandstone type uranium ores | |
| CN111751259A (en) | Method and device for determining effective porosity of irregular rock sample | |
| CN103197348A (en) | Method using internal samples at reservoirs to carry out weighting and compile logging crossplot | |
| CN111693427B (en) | Analysis method for mobility of oil and gas reservoir fluid | |
| CN210863482U (en) | Pore measurement system | |
| CN114565046A (en) | Mineral resource detection system and detection method based on remote sensing hyperspectrum |
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 |