WO2012141392A1 - 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템 및 그 방법 - Google Patents
컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템 및 그 방법 Download PDFInfo
- Publication number
- WO2012141392A1 WO2012141392A1 PCT/KR2011/007269 KR2011007269W WO2012141392A1 WO 2012141392 A1 WO2012141392 A1 WO 2012141392A1 KR 2011007269 W KR2011007269 W KR 2011007269W WO 2012141392 A1 WO2012141392 A1 WO 2012141392A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- sample
- gray level
- range
- count
- porosity
- Prior art date
Links
- 239000011148 porous material Substances 0.000 title claims abstract description 112
- 238000000034 method Methods 0.000 title claims abstract description 77
- 238000002591 computed tomography Methods 0.000 title claims abstract description 58
- 238000005259 measurement Methods 0.000 claims abstract description 127
- 239000011800 void material Substances 0.000 claims description 91
- 230000005540 biological transmission Effects 0.000 claims description 39
- 238000004364 calculation method Methods 0.000 claims description 33
- 230000008054 signal transmission Effects 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 13
- 238000003325 tomography Methods 0.000 claims description 12
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 claims description 9
- 229910052753 mercury Inorganic materials 0.000 claims description 9
- 238000007654 immersion Methods 0.000 claims description 7
- 239000000463 material Substances 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 238000000691 measurement method Methods 0.000 claims description 6
- 238000003384 imaging method Methods 0.000 claims 1
- 239000007789 gas Substances 0.000 description 11
- 238000010586 diagram Methods 0.000 description 7
- 239000002245 particle Substances 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 3
- 238000004040 coloring Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 239000003673 groundwater Substances 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 239000003921 oil Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000010977 unit operation Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000005755 formation reaction Methods 0.000 description 1
- 239000001307 helium Substances 0.000 description 1
- 229910052734 helium Inorganic materials 0.000 description 1
- SWQJXJOGLNCZEY-UHFFFAOYSA-N helium atom Chemical compound [He] SWQJXJOGLNCZEY-UHFFFAOYSA-N 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- 230000001360 synchronised 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
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
- G01N23/046—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
-
- 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
- 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
- G01N2015/0846—Investigating permeability, pore-volume, or surface area of porous materials by use of radiation, e.g. transmitted or reflected light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/40—Imaging
- G01N2223/419—Imaging computed tomograph
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/60—Specific applications or type of materials
- G01N2223/649—Specific applications or type of materials porosity
Definitions
- the present invention relates to a sample void measurement system and a method using a computed tomography apparatus and a standard sample, and more particularly, tomography of the standard sample and the measurement sample together with the computed tomography apparatus is utilized in the cross-sectional image of the standard sample Computed tomography apparatus and standard for accurately measuring the porosity of a sample by calculating the number of pixels in the count range of the cross-sectional image of the sample and the number of pixels corresponding to the gray level range of the void by referring to the count range and the gray level range of the pores A sample pore measurement system using a sample and a method thereof.
- a computer tomography apparatus uses signals detected by the detector 20 through a target 30 through a CT beam transmitted by the CT beam transmitter 10. To restore the object three-dimensionally and output it to the user.
- the planar image of the cut surface can be confirmed by randomly cutting the 3D reconstructed object in any direction.
- CTs are widely used for medical purposes, and are widely used to diagnose the internal structure of the human body. Furthermore, in the industrial field, CT is increasingly being used to observe defective parts such as internal structure, internal defects, or internal cracks of products. It is a trend.
- CT has been introduced into the geological resources field, and one of its main purposes is to observe internal characteristics of geological samples obtained from geological formations.
- voids Cracks formed by cracks in the strata, or gaps between particles that form the strata, are called voids.
- the amount of voids in the strata is mainly expressed by the parameter of porosity, which is expressed as
- Porosity (%) porosity of sample / total volume of sample * 100 (formula)
- the method of measuring the pore from the stratum sample has been utilized by the immersion method, the gas method, and the mercury method. These methods measure the requirements while filling or discharging water, gas, mercury, etc. in the sample pore.
- the pores inside are often filled with groundwater, oil, gas, etc.
- the gray level values indicating the pores in the CT cross-sectional image are determined according to which substance fills the pores. There was no choice but to differ.
- an object of the present invention is to measure the porosity of a reliable measurement sample by applying a computer tomography technique to a standard sample and a measurement sample at the same time.
- the present invention is to effectively calculate the amount by using the convenience of the computer calculation method for the area of the gap between the particles and the particles constituting the sample or the internal cracks in one section of the tomography image of the sample.
- the porosity within a certain volume of the sample can be determined.
- a sample void measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention
- a sample rotating means (310) installed between the citi beam transmitting part and the detector to rotate the standard sample and the measured sample;
- a sample rotation motor 420 installed on the main body and operative to rotate the sample rotation means
- the operation signal is transmitted to the sample rotation motor, the Citi beam transmission signal is transmitted to the Citi beam transmission unit, the cross section images of the standard sample and the measured sample analyzed by the detector are obtained, and the count range and air gap in the cross section image of the standard sample are obtained.
- the gray level range of measure by counting the number of pixels in the count range of the cross-sectional image of the sample and the number of pixels corresponding to the gray level range of the void by referring to the count range of the cross-sectional image and the gray level range of the corresponding void.
- Central control means 500 for calculating the porosity of the sample is configured to solve the problems of the present invention.
- the present invention uses a computed tomography system and a sample void measurement system using the method and the method to obtain the cross-sectional images of the standard sample and the measurement sample using the computed tomography device and then read the voids from the cross-sectional image of the standard sample After obtaining the gray level range of the part, it is possible to apply the corresponding range to the measurement sample to measure the porosity of the measurement sample with high reliability.
- the porosity measuring method adopted in the present invention can theoretically obtain a very accurate porosity if the interval between the cross-sectional images is infinitely narrow, so that the porosity values are identical within the error range when the porosity measurement values obtained by other reliable methods are obtained. You can expect to be.
- the systems and methods proposed by the present invention are the same as those of the conventional methods, although they take a very short amount of time required for computed tomography and porosity calculations, compared to immersion, gas, and mercury methods for measuring porosity. Higher reliability porosities can be expected, providing a much better effect on the processing of large samples.
- 1 is an exemplary view showing an example of a conventional computed tomography apparatus.
- Figure 2 is a schematic diagram showing the main body of the sample gap measurement system using a computer tomography apparatus and a standard sample according to an embodiment of the present invention.
- FIG 3 is a cross-sectional view showing a main body of a sample pore measuring system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- FIG. 4 is an exemplary view briefly showing a sample holder and a receiving portion of a sample pore measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- FIG. 5 is a count for calculating voids on a vertical cross-sectional image and a horizontal cross-sectional image of an image of a standard sample and a measurement sample of a sample pore measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention
- FIG. 6 is a gray level of a corresponding point when a specific portion of a cross-sectional image of an image of a standard sample and a measurement sample of a sample void measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention is designated; Exemplary diagram showing an example of obtaining.
- FIG. 7 is a graph illustrating a gray level range after obtaining a range of gray levels indicating voids in a cross-sectional image of a standard sample of a sample pore measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- FIG. 8 is a view illustrating a portion corresponding to a void on a cross-sectional image by a count range acquisition unit and a void gray level range acquisition unit of a computer tomography apparatus and a sample void measurement system using a standard sample according to an embodiment of the present invention. It is an exemplary view showing the coloring part.
- FIG. 9 is a view illustrating the identification of voids in one cross-sectional image of a computerized tomography apparatus and a sample pore measuring system using a standard sample. It is an exemplary view showing a process of calculating the porosity by calculating the corresponding number of pixels.
- FIG. 10 is a control block diagram of a sample pore measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- FIG. 11 is a flowchart illustrating a method of measuring sample voids using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- FIG. 12 is a flowchart illustrating a measurement sample porosity calculation step of a method for measuring sample porosity using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- a sample void measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention
- a sample rotating means (310) installed between the citi beam transmitting part and the detector to rotate the standard sample and the measured sample;
- a sample rotation motor 420 installed on the main body and operative to rotate the sample rotation means
- the operation signal is transmitted to the sample rotation motor, the Citi beam transmission signal is transmitted to the Citi beam transmission unit, the cross section images of the standard sample and the measured sample analyzed by the detector are obtained, and the count range and air gap in the cross section image of the standard sample are obtained.
- the gray level range of measure by counting the number of pixels in the count range of the cross-sectional image of the sample and the number of pixels corresponding to the gray level range of the void by referring to the count range of the cross-sectional image and the gray level range of the corresponding void.
- a central control means 500 for calculating the porosity of the sample.
- a detector 200 configured to be installed on the second support member 720 configured to be installed on the other side of the main body to acquire the Citi beam transmitted through the Citi beam transmitting unit; and using a CT and a standard sample In the sample pore measurement system,
- a sample rotating means (310) installed between the citi beam transmitting part and the detector in the main body to rotate the standard sample and the measured sample;
- a sample rotation motor 420 installed in the main body and operative to rotate the sample rotation means
- the operation signal is transmitted to the sample rotation motor, the Citi beam transmission signal is transmitted to the Citi beam transmission unit, the cross section images of the standard sample and the measured sample analyzed by the detector are obtained, and the count range and air gap in the cross section image of the standard sample are obtained.
- the gray level range of measure by counting the number of pixels in the count range of the cross-sectional image of the sample and the number of pixels corresponding to the gray level range of the void by referring to the count range of the cross-sectional image and the gray level range of the corresponding void.
- a central control means 500 for calculating the porosity of the sample.
- the sample holder 320 which is coupled to the receiving portion 330 having an internal space is installed on the upper side.
- a lower sample chamber 331 formed at a lower portion to accommodate one of the standard sample 300a and the measurement sample 300b;
- An upper sample chamber 332 formed at an upper portion of the standard sample 300a and the measurement sample 300b to accommodate the other one not accommodated in the lower sample chamber;
- the sample holder 320 is formed between the lower sample chamber and the upper sample chamber and is coupled to the receiving part 330 of the diaphragm 330a for separating the upper part and the lower part.
- the inner diameter of the space in which the standard sample is accommodated is wider than the inner diameter of the space in which the measurement sample is accommodated.
- An operation signal transmitting unit 510 which transmits an operation signal to the sample rotation motor and transmits a Citi beam transmission signal to the Citi beam transmission unit;
- An image acquisition unit 520 which acquires cross-sectional images of the standard sample and the measured sample analyzed by the detector 200;
- An image storage unit 530 for storing the cross-sectional images obtained by the image acquisition unit
- a count range acquisition unit 540 for obtaining a count range for measuring the voids of the standard sample and the measured sample
- a porosity calculator 570 for calculating a porosity by referring to the number of pixels corresponding to the pore gray level range counted by the pore pixel count unit 560 and the number of pixels within the count range;
- It is characterized in that it comprises a central control unit 590 for controlling the signal flow between the respective units.
- An operation signal transmitting unit 510 which transmits an operation signal to the sample rotation motor and transmits a Citi beam transmission signal to the Citi beam transmission unit;
- An image acquisition unit 520 which acquires cross-sectional images of the standard sample and the measured sample analyzed by the detector 200;
- An image storage unit 530 for storing the cross-sectional images obtained by the image acquisition unit
- a count range acquisition unit 540 for obtaining a count range for measuring the voids of the standard sample and the measured sample
- a porosity calculator 570 for calculating a porosity by referring to the number of pixels corresponding to the pore gray level range counted by the pore pixel count unit 560 and the number of pixels within the count range;
- a pre-standard sample porosity storage unit 595 which stores the pore gray level range and porosity of the pre-calculated standard sample
- It is characterized in that it comprises a central control unit 590 for controlling the signal flow between the respective units.
- the number of pixels within the count range is calculated, and the number of pixels corresponding to the gray level range is calculated, and the porosity is calculated for each cross-sectional image with reference to the calculated number of pixels.
- the stored porosity may be a value calculated in advance by the immersion method, the gas method, or the mercury method.
- the central control means After obtaining the count range and the gray level range of the pores from the cross-sectional image of the standard sample stored in the image storage unit, the central control means measured by referring to the count range of the cross-sectional image and the gray level range of the corresponding pores.
- the central control means re-defines the void gray level range. Characterized in that it comprises a ;
- the count range obtained by the count range obtaining unit 540 and the gap gray level range obtained by the gap gray level range obtaining unit 550 are received by the gap pixel number count unit 560 to count the cross-sectional image of the standard sample.
- the count range obtained through the count range acquisition unit and the pore gray level range obtained through the pore gray level range acquisition unit are obtained.
- Figure 2 is a schematic diagram showing the main body of the sample gap measurement system using a computer tomography apparatus and a standard sample according to an embodiment of the present invention.
- FIG 3 is a cross-sectional view showing a main body of a sample pore measuring system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- the Citi beam sending unit 100 is installed on the first support member 710 is installed on one side of the main body to send the Citi beam
- the second support 200 is installed on the other side of the main body It is installed on the member 720 to obtain the Citi-beam transmitted through the Citi-beam transmitting unit.
- the sample rotating means 310 is installed between the Citi beam sending unit and the detector to rotate the standard sample and the measurement sample.
- the sample rotating motor 420 is installed in the main body so as to be installed in the main body to rotate the sample rotating means.
- the CT beam transmitted by the CT beam transmitting unit detects the detector through a sample containing a geological resource as an object and outputs the same to the user.
- One of the cores of the present invention is to rotate the sample because it is necessary to have an image detected from various angles to measure pores existing in the feed, so that more accurate pores and porosities can be measured.
- the first support member 710 is installed on any one side of the main body, it is connected to the Citi beam sending unit moving member 110 is connected to the Citi beam sending unit moving member It is moved up and down when moving up and down, and the Citi beam sending unit 100 for transmitting a Citi beam;
- the second support member 720 It is installed on the second support member 720 is installed on the other side of the main body, it is connected to the detector moving member 210 is moved up and down by the detector moving member 210, the Citi is sent out through the Citi beam sending unit A detector 200 for acquiring a beam;
- a citi beam sending part operating motor 410 which is operated to move the citi beam sending part moving member 110 up and down;
- a detector operating motor 430 that operates to move the detector moving member 210 up and down may be further configured.
- the central control means transmits the operation signal to the Citi beam sending unit operation motor, the detector operating motor, the sample rotation motor, and sends the Citi beam sending signal to the Citi beam sending unit, but is sent to the Citi beam sending unit operation motor
- the operation signal synchronized with the operation signal is transmitted to the detector operation motor to perform the function of simultaneously moving the Citibeam transmitter and the detector up and down.
- the operation unit for allowing the user to select the operation of moving the Citi beam sending unit and the detector up and down, rotating the sample, and sending out the Citi beam, and the data detected by the detector It may be configured to include a display unit for displaying the.
- FIG. 4 is an exemplary view briefly showing a sample holder and a receiving portion of a sample pore measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- the sample rotating means 310 has a sample holder 320 having an inner space formed therein to accommodate the standard sample 300a and the measurement sample 300b. It is characterized in that the installation is configured.
- sample rotating means 310 More specifically, the sample rotating means 310,
- a lower sample chamber 331 formed at a lower portion to accommodate one of the standard sample 300a and the measurement sample 300b;
- An upper sample chamber 332 formed at an upper portion of the standard sample 300a and the measurement sample 300b to accommodate the other one not accommodated in the lower sample chamber;
- sample holder 320 is formed between the lower sample chamber and the upper sample chamber is coupled to the receiving portion 330 made of a diaphragm (330a) for separating the upper and lower portion is installed on the upper side. .
- the upper portion of the sample holder is configured to be provided with a receiving portion, preferably cylindrical and the cylinder is separated from the top and bottom by a diaphragm.
- An upper sample chamber is formed at an upper portion, and a lower sample chamber is formed at a lower portion.
- the measurement sample is accommodated in the upper sample chamber, and the standard sample is accommodated in the lower sample chamber.
- the measurement sample and the standard sample may be arranged on the contrary.
- the standard sample is composed of a material similar to the measurement sample, and the porosity is already known by the immersion method, gas method, mercury method and the like.
- the pores of the measurement sample to be investigated are filled with liquids or gases other than air, and the components thereof are known, the pores of the standard sample may be filled with liquids or gases of the same component.
- the diameter and the outer wall thickness of the upper sample chamber and the lower sample chamber of the sample holder accommodating the standard sample and the measured sample are preferably set in consideration of the size of the measured sample and the thickness of the sample chamber storing the standard sample.
- the inner diameter of the lower sample chamber in consideration of the thickness of the standard sample storage container accommodated
- the outer wall thickness of the lower sample chamber should be set to be slightly larger than the inner diameter of the upper sample chamber. Therefore, it is preferable that the outer wall thickness of the lower sample chamber coincides with the outer wall thickness of the upper sample chamber. This is to ensure that the gray level range of the voids taken under a similar condition and set in the standard sample can be applied to the sample.
- FIG. 5 is a count for calculating voids on a vertical cross-sectional image and a horizontal cross-sectional image of an image of a standard sample and a measurement sample of a sample pore measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention
- FIG. 6 is a gray level of a corresponding point when a specific portion of a cross-sectional image of an image of a standard sample and a measurement sample of a sample void measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention is designated; Exemplary diagram showing an example of obtaining.
- the vertical and horizontal cross-sectional images of the upper part are measurement samples, and the vertical and horizontal cross-sectional images of the lower part are standard samples.
- Each cross-sectional image of the standard sample and the measured sample is already derived by tomography, and since each pixel constituting each cross-sectional image has unique gray level information, the cross-sectional image as shown in FIG. For a particular point in the image, you can determine the location value of that point and its gray level.
- the gap between the particles and the particles of the particles constituting the sample can be recognized relatively clearly, so that the range of gray levels representing the voids in the cross-sectional image can be relatively easily identified.
- the gray level range of the corresponding voids can be used as the gray level range value for identifying the voids in the measurement sample image.
- FIG. 5 shows an example of setting a range for calculating voids in a cross section image of a standard sample or a measured sample obtained by a counter range acquisition unit, which is illustrated in the right horizontal cross section image of FIG.
- the void gray level range acquisition unit reads the gray level value of the corresponding point while indicating the representative points representing the voids with a computer mouse within the given range. In this way, the gray level values representing voids in the corresponding cross-sectional image are primarily obtained.
- the gray level values representing the voids may be different depending on the arrangement of the surrounding particles, and so the gray level values representing the voids are represented by a range of values rather than singular values.
- FIG. 7 is a graph illustrating a gray level range after obtaining a range of gray levels indicating voids in a cross-sectional image of a standard sample of a sample pore measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- FIG. 8 is a view illustrating a portion corresponding to a void on a cross-sectional image by a count range acquisition unit and a void gray level range acquisition unit of a computer tomography apparatus and a sample void measurement system using a standard sample according to an embodiment of the present invention. It is an exemplary view showing the coloring part.
- the gray level range input from the void gray level range acquisition unit is obtained.
- the number of pixels corresponding to the corresponding gray level range is counted, and the porosity is calculated as a ratio of the number of pixels recognized as a void to the total number of pixels within the count range designated by the porosity calculator.
- the pore portion is identified and colored by the gray level range already designated on the standard sample cross-sectional image.
- FIG. 9 is a view illustrating the identification of voids in one cross-sectional image of a computerized tomography apparatus and a sample pore measuring system using a standard sample. It is an exemplary view showing a process of calculating the porosity by calculating the corresponding number of pixels.
- the same method can be applied to adjacent cross-sectional images to obtain a porosity within a predetermined volume range in a sample.
- the porosity is recalculated while expanding or reducing the gray level range so that the two porosities are within the error range.
- the gray level range must be derived.
- the gray level range indicating the voids in the standard sample is accurately derived, apply the gray level range directly to the gray level range representing the voids in the sample cross-section image and perform the rest of the calculation process in the same way as in the standard sample.
- the porosity of the sample can be determined accurately.
- FIG. 9 is a diagram illustrating a result of calculating the total number of pixels within the count range for each cross-sectional image, the number of pixels corresponding to the voids within the count range, and the porosity, and a formula for calculating the total porosity of the cross-sectional images at the bottom.
- the central controller obtains the porosities calculated on each cross-sectional image and calculates the total porosity (which is calculated as 34.6%).
- FIG. 10 is a control block diagram of a sample pore measurement system using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- the central control means 500 As shown in Figure 10, the central control means 500,
- the operation signal is transmitted to the sample rotation motor, the Citi beam transmission signal is transmitted to the Citi beam transmission unit, the cross section images of the standard sample and the measured sample analyzed by the detector are obtained, and the count range and air gap in the cross section image of the standard sample are obtained.
- the gray level range of measure by counting the number of pixels in the count range of the cross-sectional image of the sample and the number of pixels corresponding to the gray level range of the void by referring to the count range of the cross-sectional image and the gray level range of the corresponding void.
- the porosity of the sample is calculated.
- An operation signal transmitting unit 510 which transmits an operation signal to the sample rotation motor and transmits a Citi beam transmission signal to the Citi beam transmission unit;
- An image acquisition unit 520 which acquires cross-sectional images of the standard sample and the measured sample analyzed by the detector 200;
- An image storage unit 530 for storing the cross-sectional images obtained by the image acquisition unit
- a count range acquisition unit 540 for obtaining a count range for measuring the voids of the standard sample and the measured sample
- a porosity calculator 570 for calculating a porosity by referring to the number of pixels corresponding to the pore gray level range counted by the pore pixel count unit 560 and the number of pixels within the count range;
- It comprises a central control unit 590 for controlling the signal flow between the respective units.
- the operation signal transmission unit 510 transmits an operation signal to the sample rotation motor, and transmits the Citi beam transmission signal to the Citi beam transmission unit.
- the central control unit receives the operation signal and transmits the operation command to the operation signal transmission unit.
- the operation signal transmission unit transmits the operation signal to the sample rotation motor to rotate the sample, and transmits the Citi beam transmission signal to the Citi beam transmission unit to send the Citi beam to the sample.
- the image acquisition unit 520 acquires cross-sectional images of the standard sample and the measured sample analyzed by the detector 200.
- the cross-sectional image obtained by the image acquisition unit means an image as shown in FIG. 9.
- the cross-sectional images obtained by the image acquisition unit are stored in the image storage unit 530 under the control of the central controller.
- the user can specify the count range by outputting the cross-sectional image stored in the image storage unit to the user's screen.
- the program is mounted on the screen so as to specify the count range.
- the count range acquisition unit 540 acquires the count range. do.
- the specified range may be confirmed in the actual picture.
- the gray level range of the void is designated in the cross-sectional image.
- the user observes the gray level pixel to designate the gray level region.
- the gray level of the standard sample to be measured for the void is specified in the range of 0 to 1500, the gray level exceeding 1500 is determined by the central controller as an object other than the void.
- the gap gray level range acquisition unit 550 acquires the gap gray level range of the specified specific portion.
- the cross-sectional image within the count range is output on the user's screen, and then output on the screen through a program so that the user can specify the gray level.
- the gray level range of the void is obtained by obtaining the void gray level range.
- the gap pixel number count unit 560 receives the count range obtained by the count range acquisition unit 540 and the gap gray level range obtained by the gap gray level range acquisition unit 550 by processing of the central controller. The number of pixels corresponding to the void gray level range within the count range of the cross section image of the standard sample and the measured sample is counted.
- the porosity calculator 570 calculates that the porosity Z ((Y / X) * 100%) of the corresponding cross-sectional image is 34.3%.
- the above process describes an example of measuring a standard sample, and count ranges and voids obtained through the count range acquisition unit to calculate the porosity in the cross-sectional image of the standard sample obtained by the image acquisition unit in the measurement sample processing unit 580.
- the air gap gray level range obtained through the gray level range acquisition unit is received.
- the porosity of the measurement sample can be calculated only when the porosity is calculated under the same conditions.
- the count range and the pore gray level range obtained in the count range acquisition unit and the pore gray level range acquisition unit are again sent out to calculate the porosity in the cross-sectional image of the measurement sample so as to obtain the count range and the pore gray level range of the measurement sample.
- a count signal is sent to the pore pixel count unit to count the number of pixels, and the counted pixel number is sent to the pore calculating unit again to calculate the porosity.
- the central control means the central control means
- a pre-standard sample porosity storage unit 595 which stores the pore gray level range and porosity of the pre-calculated standard sample
- the repositioning of the pore gray level range is redefined. It can be configured to further include a grey-level property (596) for generating a signal.
- the pre-standard sample porosity storage unit 595 stores the porosity and the pore gray level range of the standard sample previously calculated by the immersion method, the gas method, and the mercury method.
- the gray level property unit 596 is a void gray when the porosity of the standard sample calculated by the porosity calculation unit and the porosity of the standard sample stored in the pre-standard sample porosity storage unit 595 do not fall within the error range.
- a regeneration signal will be generated to relevel the range of levels.
- the error range information is stored in a separate storage unit (not shown), and the porosity of the standard sample calculated by the pore rate calculator and the prestored standard sample correspond to the error range by the analysis of the central controller. If it is not analyzed (when the error range is exceeded), the central control unit transmits an operation command so that the user can re-define the air gap gray level range, and receives the gray level property government and generates a property signal to generate the user's screen. It will be sent to.
- the user After confirming this, the user re-defines the gray level range of the void, and calculates the void ratio again.
- FIG. 11 is a flowchart illustrating a method of measuring sample voids using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- the central control means After obtaining the count range and the gray level range of the pores from the cross-sectional image of the standard sample stored in the image storage unit, the central control means measured by referring to the count range of the cross-sectional image and the gray level range of the corresponding pores.
- the operation signal transmission unit 510 transmits the operation signal to the sample rotation motor to rotate the sample rotation means 310, and transmits the Citi beam transmission signal to the Citi beam transmission unit (S100).
- the image acquisition unit 520 acquires cross-sectional images of the standard sample and the measured sample analyzed by the detector (S200).
- the cross-sectional images obtained by the image acquisition unit are stored in the image storage unit 530 under the control of the central controller (S300).
- the central control means obtains the count range and the gray level range of the voids from the cross-sectional image of the standard sample stored in the image storage unit, and then refers to the count range of the cross-sectional image and the gray level range of the corresponding voids by the central control means.
- the central control means calculates the number of pixels in the count range of the cross-sectional image of the measurement sample and the number of pixels corresponding to the gray level range of the void (S400).
- the central control means re-defines the void gray level range.
- the gray level asset calculation step (S500) of generating a repositioning signal; is performed after the measurement sample porosity calculation step (S400).
- the gray level property calculation step (S500) performs a process of calculating the porosity of the measurement sample if the error range, and if not the error range to inform the user to re-define the void gray level range. do.
- FIG. 12 is a flowchart illustrating a measurement sample porosity calculation step of a method for measuring sample porosity using a computed tomography apparatus and a standard sample according to an embodiment of the present invention.
- the count range obtained by the count range obtaining unit 540 and the gap gray level range obtained by the gap gray level range obtaining unit 550 are received by the gap pixel number count unit 560 to count the cross-sectional image of the standard sample.
- the count range obtained through the count range acquisition unit and the pore gray level range obtained through the pore gray level range acquisition unit are obtained.
- a measurement sample porosity calculation step (S450) is performed to send a signal and send the counted number of pixels to the pore calculating unit again to calculate the porosity of the measurement sample.
- the count range acquisition unit 540 acquires a count range designated by the user in order to measure the voids of the standard sample (S410), and the user in the cross-sectional image of the standard sample by the void gray level range acquisition unit 550.
- the gap gray level range of the specific portion designated by the user is obtained.
- the count range obtained by the count range acquisition unit 540 and the space gray level range obtained by the space gray level range acquisition unit 550 are received by the space pixel number count unit 560 and receive a cross-sectional image of a standard sample.
- the number of pixels corresponding to the gap gray level range within the count range of S is counted by the gap pixel count unit (S430).
- the porosity of the standard sample is calculated by referring to the number of pixels corresponding to the pore gray level range counted by the porosity count unit 570 and the number of pixels within the count range (S440). .
- the step it may be determined whether or not the error range, or may not be determined.
- the pores gray level obtained through the count range and the pore gray level range acquisition unit obtained through the count range acquisition unit to calculate the porosity in the cross-sectional image of the standard sample obtained by the image acquisition unit by the measurement sample processing unit 580.
- the count range obtained from the count range acquisition unit and the void gray level range acquisition unit is again sent out to calculate the porosity in the cross-sectional image of the measurement sample, and the number of pixels is counted in the pore pixel count count unit.
- the count signal is sent so that the counted number of pixels is sent to the pore calculating unit again to calculate the porosity of the measurement sample (S450), and the process is terminated.
- the above step is to significantly increase the accuracy and precision of the measurement of the porosity of the measurement sample by using the count range and the pore gray level range, which are numerical data read out from the image section of the standard sample.
- the cross-sectional images of the standard sample and the measured sample are obtained by using a computed tomography device, and then the gray level range of the portion read out as voids is obtained from the cross-sectional image of the standard sample. It can be applied to the measurement sample, the effect of measuring the porosity of the measurement sample with high reliability.
- the present invention refers to the count range and voids in the count range of the cross-sectional image of the measurement sample, referring to the count range and the gray level range of the pores used in the cross-sectional image of the standard sample after the tomography of the standard sample and the measured sample together.
Landscapes
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- General Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Pulmonology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Radiology & Medical Imaging (AREA)
- Dispersion Chemistry (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
Description
Claims (16)
- 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템에 있어서,씨티빔송출부(100), 디텍터(200), 시료회전수단(310)이 설치 구성되는 본체(700)와;상기 본체의 일측에 설치 구성되는 제1지지부재(710)에 설치 구성되어 씨티빔을 송출시키는 씨티빔송출부(100)와;상기 본체의 타측에 설치 구성되는 제2지지부재(720)에 설치 구성되어 씨티빔송출부를 통해 송출되는 씨티빔을 획득하는 디텍터(200)와;상기 씨티빔송출부와 디텍터 사이에 설치 구성되어 표준시료 및 측정시료를 회전시키는 시료회전수단(310)과;상기 본체에 설치 구성되어 시료회전수단을 회전시키기 위하여 동작하는 시료회전모터(420)와;시료회전모터에 동작 신호를 전송하며, 씨티빔송출부에 씨티빔송출신호를 송출시키며, 상기 디텍터에 의해 분석된 표준시료 및 측정시료의 단면 이미지들을 획득하여 표준시료의 단면 이미지에서 카운트 범위와 공극의 그레이 레벨 범위를 획득한 후, 단면 이미지의 카운트 범위와 해당 공극의 그레이 레벨 범위를 참조하여 측정시료의 단면 이미지의 카운트 범위 내 픽셀수와 공극의 그레이 레벨 범위에 해당하는 픽셀수를 계산하여 측정시료의 공극률을 계산하는 중앙제어수단(500);을 포함하여 구성되는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 씨티빔송출부(100), 디텍터(200)가 설치 구성되는 본체(700)와;상기 본체의 일측에 설치 구성되는 제1지지부재(710)에 설치 구성되어 씨티빔을 송출시키는 씨티빔송출부(100)와;상기 본체의 타측에 설치 구성되는 제2지지부재(720)에 설치 구성되어 씨티빔송출부를 통해 송출되는 씨티빔을 획득하는 디텍터(200);를 포함하여 구성되는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템에 있어서,본체 내 씨티빔송출부와 디텍터 사이에 설치 구성되어 표준시료 및 측정시료를 회전시키는 시료회전수단(310)과;본체에 설치 구성되어 시료회전수단을 회전시키기 위하여 동작하는 시료회전모터(420)와;시료회전모터에 동작 신호를 전송하며, 씨티빔송출부에 씨티빔송출신호를 송출시키며, 상기 디텍터에 의해 분석된 표준시료 및 측정시료의 단면 이미지들을 획득하여 표준시료의 단면 이미지에서 카운트 범위와 공극의 그레이 레벨 범위를 획득한 후, 단면 이미지의 카운트 범위와 해당 공극의 그레이 레벨 범위를 참조하여 측정시료의 단면 이미지의 카운트 범위 내 픽셀수와 공극의 그레이 레벨 범위에 해당하는 픽셀수를 계산하여 측정시료의 공극률을 계산하는 중앙제어수단(500);을 포함하여 구성되는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 제 1항 또는 제 2항에 있어서,상기 시료회전수단(310)은,표준시료(300a)와 측정시료(300b)를 수용하기 위하여 내부 공간이 형성된 수용부(330)가 결합되어 있는 시료거치대(320)가 상측에 설치 구성되어 있는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 제 1항 또는 제 2항에 있어서,상기 시료회전수단(310)은,표준시료(300a)와 측정시료(300b) 중 어느 하나를 수용하기 위하여 하부에 형성되는 하부시료실(331)과,표준시료(300a)와 측정시료(300b) 중 상기 하부시료실에 수용되지 않은 다른 하나를 수용하기 위하여 상부에 형성되는 상부시료실(332)과,상기 하부시료실과 상부시료실 사이에 형성되어 상부와 하부를 분리시키기 위한 격막(330a)으로 이루어진 수용부(330)가 결합되어 있는 시료거치대(320)가 상측에 설치 구성되어 있는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 제 3항 또는 제 4항에 있어서,상기 수용부 중,표준시료가 수용되는 공간의 내경은 측정시료가 수용되는 공간의 내경보다 넓은 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 제 1항 또는 제 2항에 있어서,상기 중앙제어수단(500)은,시료회전모터에 동작 신호를 전송하며, 씨티빔송출부에 씨티빔송출신호를 송출시키는 동작신호송출부(510)와,디텍터(200)에 의해 분석된 표준시료 및 측정시료의 단면 이미지들을 획득하는 이미지획득부(520)와,상기 이미지획득부에 의해 획득된 단면 이미지들을 저장하는 이미지저장부(530)와,표준시료 및 측정시료의 공극을 측정하기 위하여 카운트 범위를 획득하는 카운트범위획득부(540)와,표준시료 및 측정시료의 단면 이미지 내의 특정 부분의 공극 그레이 레벨 범위를 획득하기 위한 공극그레이레벨범위획득부(550)와,상기 카운트범위획득부(540)에 의해 획득된 카운트 범위와 공극그레이레벨범위획득부(550)에 의해 획득된 공극 그레이 레벨 범위를 수신받아 표준시료 및 측정시료의 단면 이미지의 카운트 범위 내의 공극 그레이 레벨 범위에 해당하는 픽셀수를 카운트하는 공극픽셀수카운트부(560)와,상기 공극픽셀수카운트부(560)에 의해 카운트된 공극 그레이 레벨 범위에 해당하는 픽셀수와 카운트 범위 내의 픽셀수를 참조하여 공극률을 계산하는 공극률계산부(570)와,상기 이미지획득부에 의해 획득된 표준시료의 단면 이미지에서 공극률을 계산하기 위하여 카운트범위획득부를 통해 획득된 카운트 범위와 공극그레이레벨범위획득부를 통해 획득된 공극 그레이 레벨 범위를 수신받아, 측정시료의 단면 이미지에서 공극률을 계산하도록 카운트범위획득부와 공극그레이레벨범위획득부에 획득된 카운트 범위와 공극 그레이 레벨 범위를 재차 송출시키며 공극픽셀수카운트부에 픽셀수를 카운트하도록 카운트 신호를 송출하여 카운트된 픽셀수를 재차 공극계산부에 송출하여 공극률을 계산하도록 하기 위한 측정시료진행처리부(580)와,상기 각각의 부 간의 신호 흐름을 제어하는 중앙제어부(590)를 포함하여 구성되는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 제 1항 또는 제 2항에 있어서,상기 중앙제어수단(500)은,시료회전모터에 동작 신호를 전송하며, 씨티빔송출부에 씨티빔송출신호를 송출시키는 동작신호송출부(510)와,디텍터(200)에 의해 분석된 표준시료 및 측정시료의 단면 이미지들을 획득하는 이미지획득부(520)와,상기 이미지획득부에 의해 획득된 단면 이미지들을 저장하는 이미지저장부(530)와,표준시료 및 측정시료의 공극을 측정하기 위하여 카운트 범위를 획득하는 카운트범위획득부(540)와,표준시료 및 측정시료의 단면 이미지 내의 특정 부분의 공극 그레이 레벨 범위를 획득하기 위한 공극그레이레벨범위획득부(550)와,상기 카운트범위획득부(540)에 의해 획득된 카운트 범위와 공극그레이레벨범위획득부(550)에 의해 획득된 공극 그레이 레벨 범위를 수신받아 표준시료 및 측정시료의 단면 이미지의 카운트 범위 내의 공극 그레이 레벨 범위에 해당하는 픽셀수를 카운트하는 공극픽셀수카운트부(560)와,상기 공극픽셀수카운트부(560)에 의해 카운트된 공극 그레이 레벨 범위에 해당하는 픽셀수와 카운트 범위 내의 픽셀수를 참조하여 공극률을 계산하는 공극률계산부(570)와,상기 이미지획득부에 의해 획득된 표준시료의 단면 이미지에서 공극률을 계산하기 위하여 카운트범위획득부를 통해 획득된 카운트 범위와 공극그레이레벨범위획득부를 통해 획득된 공극 그레이 레벨 범위를 수신받아, 측정시료의 단면 이미지에서 공극률을 계산하도록 카운트범위획득부와 공극그레이레벨범위획득부에 획득된 카운트 범위와 공극 그레이 레벨 범위를 재차 송출시키며 공극픽셀수카운트부에 픽셀수를 카운트하도록 카운트 신호를 송출하여 카운트된 픽셀수를 재차 공극계산부에 송출하여 공극률을 계산하도록 하기 위한 측정시료진행처리부(580)와,사전에 계산된 표준시료의 공극 그레이 레벨 범위와 공극률이 저장되어 있는 사전표준시료공극률저장부(595)와,상기 공극률계산부에 의해 계산된 표준시료의 공극률과 상기 사전표준시료공극률저장부(595)에 사전에 저장된 표준시료의 공극률이 오차 범위에 해당하지 않을 경우에 공극 그레이 레벨 범위를 재산정하도록 재산정 신호를 생성시키는 그레이레벨재산정부(596)와,상기 각각의 부 간의 신호 흐름을 제어하는 중앙제어부(590)를 포함하여 구성되는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 제 1항 또는 제 2항에 있어서,상기 중앙제어수단(500)은,카운트 범위 내의 픽셀수를 계산하며, 그레이 레벨 범위에 해당하는 픽셀수를 계산하여 상기 계산된 픽셀수를 참조하여 공극률을 각 단면 이미지마다 계산하는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 제 7항에 있어서,상기 사전표준시료공극률저장부(595)에,저장된 공극률은 침수법, 가스법, 수은법에 의해 사전에 계산된 값인 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 제 1항 또는 제 2항에 있어서,상기 표준시료는,측정시료와 동일한 성분의 물질인 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템.
- 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 방법에 있어서,동작신호송출부(510)에 의해 시료회전모터에 동작 신호를 전송하여 시료회전수단(310)을 회전시키며, 씨티빔송출부에 씨티빔송출신호를 송출시키는 동작신호송출단계(S100)와;이미지획득부(520)에 의해 디텍터에서 분석된 표준시료 및 측정시료의 단면 이미지들을 획득하는 단면이미지획득단계(S200)와;상기 이미지획득부에 의해 획득된 단면 이미지들을 이미지저장부(530)에 저장하는 단면이미지저장단계(S300)와;상기 이미지저장부에 저장된 표준시료의 단면 이미지에서 카운트 범위와 공극의 그레이 레벨 범위를 중앙제어수단에서 획득한 후, 중앙제어수단에 의해 단면 이미지의 카운트 범위와 해당 공극의 그레이 레벨 범위를 참조하여 측정시료의 단면 이미지의 카운트 범위 내 픽셀수와 공극의 그레이 레벨 범위에 해당하는 픽셀수를 계산하여 측정시료의 공극률을 계산하는 측정시료공극률계산단계(S400);를 포함하여 이루어지는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 방법.
- 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 방법에 있어서,동작신호송출부(510)에 의해 시료회전모터에 동작 신호를 전송하여 시료회전수단(310)을 회전시키며, 씨티빔송출부에 씨티빔송출신호를 송출시키는 동작신호송출단계(S100)와;이미지획득부(520)에 의해 디텍터에서 분석된 표준시료 및 측정시료의 단면 이미지들을 획득하는 단면이미지획득단계(S200)와;상기 이미지획득부에 의해 획득된 단면 이미지들을 이미지저장부(530)에 저장하는 단면이미지저장단계(S300)와;상기 이미지저장부에 저장된 표준시료의 단면 이미지에서 카운트 범위와 공극의 그레이 레벨 범위를 중앙제어수단에서 획득한 후, 중앙제어수단에 의해 단면 이미지의 카운트 범위와 해당 공극의 그레이 레벨 범위를 참조하여 측정시료의 단면 이미지의 카운트 범위 내 픽셀수와 공극의 그레이 레벨 범위에 해당하는 픽셀수를 계산하여 측정시료의 공극률을 계산하는 측정시료공극률계산단계(S400)와;중앙제어수단에 의해 계산된 표준시료의 공극률과 사전표준시료공극률저장부(595)에 사전에 저장된 표준시료의 공극률이 오차 범위에 해당하지 않을 경우에 중앙제어수단에서 공극 그레이 레벨 범위를 재산정하도록 재산정 신호를 생성시키는 그레이레벨재산정단계(S500);를 포함하여 이루어지는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 방법.
- 제 11항 또는 제 12항에 있어서,상기 측정시료공극률계산단계(S400)는,카운트범위획득부(540)에 의해 표준시료의 공극을 측정하기 위하여 카운트 범위를 획득하는 카운트범위획득단계(S410)와,공극그레이레벨범위획득부(550)에 의해 표준시료의 단면 이미지 내의 특정 부분의 공극 그레이 레벨 범위를 획득하는 공극그레이레벨범위획득단계(S420)와,카운트범위획득부(540)에 의해 획득된 카운트 범위와 공극그레이레벨범위획득부(550)에 의해 획득된 공극 그레이 레벨 범위를 공극픽셀수카운트부(560)에서 수신받아 표준시료의 단면 이미지의 카운트 범위 내 공극 그레이 레벨 범위에 해당하는 픽셀수를 공극픽셀수카운트부에 의해 카운트하는 표준시료공극픽셀수카운트단계(S430)와,공극률계산부(570)에 의해 공극픽셀수카운트부(560)에서 카운트된 공극 그레이 레벨 범위에 해당하는 픽셀수와 카운트 범위 내의 픽셀수를 참조하여 표준시료의 공극률을 계산하는 표준시료공극률계산단계(S440)와,측정시료진행처리부(580)에 의해 이미지획득부에서 획득된 표준시료의 단면 이미지에서 공극률을 계산하기 위하여 카운트범위획득부를 통해 획득된 카운트 범위와 공극그레이레벨범위획득부를 통해 획득된 공극 그레이 레벨 범위를 수신받아, 측정시료의 단면 이미지에서 공극률을 계산하도록 카운트범위획득부와 공극그레이레벨범위획득부에 획득된 카운트 범위와 공극 그레이 레벨 범위를 재차 송출시키며 공극픽셀수카운트부에 픽셀수를 카운트하도록 카운트 신호를 송출하여 카운트된 픽셀수를 재차 공극계산부에 송출하여 측정시료의 공극률을 계산하는 측정시료공극률계산단계(S450)를 포함하여 이루어지는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 방법.
- 제 11항 또는 제 12항에 있어서,상기 중앙제어수단(500)은,카운트 범위 내의 픽셀수를 계산하며, 그레이 레벨 범위에 해당하는 픽셀수를 계산하여 상기 계산된 픽셀수를 참조하여 공극률을 각 단면 이미지마다 계산하는 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 방법.
- 제 12항에 있어서,상기 사전표준시료공극률저장부(595)에,저장된 공극률은 침수법, 가스법, 수은법에 의해 사전에 계산된 값인 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 방법.
- 제 11항 또는 제 12항에 있어서,상기 표준시료는,측정시료와 동일한 성분의 물질인 것을 특징으로 하는 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 방법.
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201180055763.0A CN103221801B (zh) | 2011-04-13 | 2011-09-30 | 利用断层摄影装置和标准试样的试样孔隙测定系统及方法 |
JP2013540882A JP5406419B2 (ja) | 2011-04-13 | 2011-09-30 | コンピューター断層撮映装置と標準試料を利用した試料空隙測定方法 |
US13/989,141 US8542793B1 (en) | 2011-04-13 | 2011-09-30 | System for measuring sample pore using computed tomography and standard sample and method thereof |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020110034399A KR101074546B1 (ko) | 2011-04-13 | 2011-04-13 | 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템 및 그 방법 |
KR10-2011-0034399 | 2011-04-13 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2012141392A1 true WO2012141392A1 (ko) | 2012-10-18 |
Family
ID=45032982
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/KR2011/007269 WO2012141392A1 (ko) | 2011-04-13 | 2011-09-30 | 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템 및 그 방법 |
Country Status (5)
Country | Link |
---|---|
US (1) | US8542793B1 (ko) |
JP (1) | JP5406419B2 (ko) |
KR (1) | KR101074546B1 (ko) |
CN (1) | CN103221801B (ko) |
WO (1) | WO2012141392A1 (ko) |
Families Citing this family (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103959048B (zh) * | 2011-10-04 | 2018-04-06 | 株式会社尼康 | X射线装置、x射线照射方法及构造物的制造方法 |
US9080946B2 (en) * | 2012-06-15 | 2015-07-14 | Ingrain, Inc. | Digital rock analysis systems and methods with multiphase flow REV determination |
CA2906973C (en) * | 2013-04-04 | 2020-10-27 | Illinois Tool Works Inc. | Helical computed tomography |
EP2984473B1 (en) * | 2013-04-12 | 2017-07-19 | Illinois Tool Works Inc. | High-resolution computed tomography |
WO2014181478A1 (ja) * | 2013-05-10 | 2014-11-13 | 株式会社ニコン | X線装置及び構造物の製造方法 |
US10001446B2 (en) | 2014-11-07 | 2018-06-19 | Ge Energy Oilfield Technology, Inc. | Core sample analysis |
US9970888B2 (en) | 2014-11-07 | 2018-05-15 | Ge Energy Oilfield Technology, Inc. | System and method for wellsite core sample analysis |
US9880318B2 (en) | 2014-11-07 | 2018-01-30 | Ge Energy Oilfield Technology, Inc. | Method for analyzing core sample from wellbore, involves analyzing zone of interest in core sample, and forming image of core sample to spatially represent characteristics of core sample |
US10261204B2 (en) | 2014-12-31 | 2019-04-16 | Ge Energy Oilfield Technology, Inc. | Methods and systems for scan analysis of a core sample |
US10031148B2 (en) | 2014-12-31 | 2018-07-24 | Ge Energy Oilfield Technology, Inc. | System for handling a core sample |
CN105758777A (zh) * | 2016-03-02 | 2016-07-13 | 南京国轩电池有限公司 | 一种锂电复合隔膜的陶瓷涂层的孔隙率测试方法 |
CN106093035B (zh) * | 2016-05-30 | 2018-10-26 | 武汉大学 | 一种土体演变的微距视频图像识别方法 |
JP6946935B2 (ja) * | 2017-10-30 | 2021-10-13 | 日本製鉄株式会社 | 気孔率推定方法及び気孔率推定装置 |
CN107941670B (zh) * | 2017-11-03 | 2020-01-07 | 中国石油天然气股份有限公司 | 一种岩屑孔隙度测定方法 |
CN112129676B (zh) * | 2019-06-24 | 2023-09-22 | 中国航发商用航空发动机有限责任公司 | 孔隙率试块的制作方法及孔隙率快速检测方法 |
CN111127413B (zh) * | 2019-12-18 | 2022-06-14 | 武汉大学 | 土工织物孔隙测量系统以及方法 |
CN111751259A (zh) * | 2020-05-12 | 2020-10-09 | 中国石油天然气股份有限公司 | 确定不规则岩石样品有效孔隙度的方法及装置 |
CN116952995B (zh) * | 2023-07-25 | 2024-05-31 | 水利部交通运输部国家能源局南京水利科学研究院 | 一种基于孔隙率的修复材料与混凝土界面区厚度无损识别方法 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5359194A (en) * | 1992-05-01 | 1994-10-25 | Texaco Inc. | X-ray CT measurement of secondary (vugular) porosity in reservoir core material |
US5430291A (en) * | 1992-05-01 | 1995-07-04 | Texaco Inc. | X-ray CT measurement of fracture widths and fracture porosity in reservoir core material |
JP2009505083A (ja) * | 2005-08-16 | 2009-02-05 | カール ツァイス インドゥストリエレ メステヒニク ゲゼルシャフト ミット ベシュレンクテル ハフツング | コンピュータ断層撮影用測定装置および方法 |
WO2009058390A1 (en) * | 2007-10-31 | 2009-05-07 | Saudi Arabian Oil Company | Geostatistical analysis and classification of individual core sample data |
US20100128933A1 (en) * | 2008-11-24 | 2010-05-27 | Naum Derzhi | Method for determining properties of fractured rock formations using computer tomograpic images thereof |
KR20110054092A (ko) * | 2009-11-17 | 2011-05-25 | 한국건설기술연구원 | 엑스레이 씨티촬영을 통한 미세 토사의 간극비 측정방법 |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6114550A (ja) * | 1984-06-30 | 1986-01-22 | Toshiba Corp | 混在率測定装置 |
US5036193A (en) * | 1989-12-26 | 1991-07-30 | Texaco Inc. | Earthen core analyzing means and method |
KR100566287B1 (ko) * | 1999-12-03 | 2006-03-30 | 삼성전자주식회사 | 네비게이션 데이터가 기록된 데이터 기록매체 |
JP3431022B1 (ja) | 2002-02-15 | 2003-07-28 | 株式会社日立製作所 | 3次元寸法計測装置及び3次元寸法計測方法 |
JP2005283547A (ja) * | 2004-03-31 | 2005-10-13 | Ngk Insulators Ltd | セラミック構造体の検査方法 |
JP4027954B2 (ja) | 2005-12-14 | 2007-12-26 | 東芝Itコントロールシステム株式会社 | コンピュータ断層撮影装置 |
CN101639434A (zh) * | 2009-08-27 | 2010-02-03 | 太原理工大学 | 基于显微图像分析固体材料孔隙结构的方法 |
-
2011
- 2011-04-13 KR KR1020110034399A patent/KR101074546B1/ko active IP Right Grant
- 2011-09-30 US US13/989,141 patent/US8542793B1/en active Active
- 2011-09-30 CN CN201180055763.0A patent/CN103221801B/zh active Active
- 2011-09-30 JP JP2013540882A patent/JP5406419B2/ja active Active
- 2011-09-30 WO PCT/KR2011/007269 patent/WO2012141392A1/ko active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5359194A (en) * | 1992-05-01 | 1994-10-25 | Texaco Inc. | X-ray CT measurement of secondary (vugular) porosity in reservoir core material |
US5430291A (en) * | 1992-05-01 | 1995-07-04 | Texaco Inc. | X-ray CT measurement of fracture widths and fracture porosity in reservoir core material |
JP2009505083A (ja) * | 2005-08-16 | 2009-02-05 | カール ツァイス インドゥストリエレ メステヒニク ゲゼルシャフト ミット ベシュレンクテル ハフツング | コンピュータ断層撮影用測定装置および方法 |
WO2009058390A1 (en) * | 2007-10-31 | 2009-05-07 | Saudi Arabian Oil Company | Geostatistical analysis and classification of individual core sample data |
US20100128933A1 (en) * | 2008-11-24 | 2010-05-27 | Naum Derzhi | Method for determining properties of fractured rock formations using computer tomograpic images thereof |
KR20110054092A (ko) * | 2009-11-17 | 2011-05-25 | 한국건설기술연구원 | 엑스레이 씨티촬영을 통한 미세 토사의 간극비 측정방법 |
Also Published As
Publication number | Publication date |
---|---|
US8542793B1 (en) | 2013-09-24 |
US20130251095A1 (en) | 2013-09-26 |
CN103221801B (zh) | 2014-12-10 |
KR101074546B1 (ko) | 2011-10-17 |
JP2013543985A (ja) | 2013-12-09 |
JP5406419B2 (ja) | 2014-02-05 |
CN103221801A (zh) | 2013-07-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2012141392A1 (ko) | 컴퓨터 단층촬영 장치와 표준시료를 이용한 시료 공극 측정 시스템 및 그 방법 | |
WO2012070763A1 (ko) | 지질자원 코어 분석용 컴퓨터 단층촬영장치 | |
WO2017063128A1 (zh) | 喷洒质量检测装置、系统、方法以及采样辅助装置 | |
WO2016145602A1 (en) | Apparatus and method for focal length adjustment and depth map determination | |
WO2010151044A2 (ko) | 3차원 컨텐츠를 출력하는 디스플레이 기기의 영상 처리 방법 및 그 방법을 채용한 디스플레이 기기 | |
WO2015126044A1 (ko) | 이미지를 처리하기 위한 방법 및 그 전자 장치 | |
WO2015167217A1 (en) | Display apparatus and controlling method thereof | |
WO2020130496A1 (en) | Display apparatus and control method thereof | |
WO2018147478A1 (ko) | 머신 비전을 활용한 와이어 하네스 케이블의 터미널 크림핑 검사 장치 및 검사 방법 그리고 그 작동 방법 | |
WO2019039844A1 (en) | X-RAY IMAGING APPARATUS AND CORRESPONDING CONTROL METHOD | |
WO2014035113A1 (en) | Method of controlling touch function and an electronic device thereof | |
WO2016206107A1 (en) | System and method for selecting an operation mode of a mobile platform | |
WO2019088717A1 (ko) | 휘도 균일도 보정 장치 및 그 제어방법 | |
WO2012070762A2 (ko) | 컴퓨터 단층촬영장치를 이용한 지질시료 코어 내 이질물질 부피측정장치 및 그 방법 | |
WO2016080653A1 (en) | Method and apparatus for image processing | |
WO2019199019A1 (ko) | 테라헤르츠파 기반 결함 측정 장치 및 방법 | |
WO2022065641A1 (ko) | 조리 장치 및 그 제어 방법 | |
WO2021091282A1 (ko) | 3차원 진단 시스템 | |
WO2014178578A1 (en) | Apparatus and method for generating image data in portable terminal | |
WO2010076952A2 (ko) | 디지털 영상 장치의 영상 왜곡 판단 테스트 자동화 시스템 | |
WO2023033563A1 (ko) | 수질 검사기 | |
WO2022065981A1 (ko) | 동영상 처리 장치 및 방법 | |
WO2020251299A1 (ko) | 라인 검출 방법 | |
WO2020085758A1 (ko) | 검사 영역 결정 방법 및 이를 이용하는 외관 검사 장치 | |
WO2014092251A1 (ko) | 계란 품질 계측 장치 및 방법 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 11863547 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 13989141 Country of ref document: US |
|
ENP | Entry into the national phase |
Ref document number: 2013540882 Country of ref document: JP Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 11863547 Country of ref document: EP Kind code of ref document: A1 |