CN115963125A - Rock physical model establishing method and device, computer equipment and storage medium - Google Patents
Rock physical model establishing method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a rock physical model building method, a rock physical model building device, computer equipment and a storage medium, wherein the rock physical model building method comprises the following steps: performing elasticity test on the plunger sample to obtain a first type of test result; carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result; obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result; establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters; plunger samples and rock slices were prepared from core samples. According to the rock physical model establishing scheme provided by the invention, based on comprehensive mineral analysis and CT scanning experiments, the mineral types and contents, the pore aspect ratio and other parameters of different lithologic samples of the volcanic rock are quantitatively obtained, the artificial experience errors introduced by the traditional common thin slice identification and cast thin slice identification are reduced, on the basis, an equivalent medium theoretical model is preferably selected for simulation, and the rock physical model suitable for the volcanic rock is established.
Description
Technical Field
The invention relates to the field of volcanic rock physics research, in particular to a rock physics model establishing method and device, electronic equipment and a storage medium.
Background
Volcanic hydrocarbon reservoirs have attracted a great deal of attention from the oil and gas industry as a new field of oil and gas exploration and have become one of the important fields of increasing storage. The volcanic reservoir has the characteristics of multiple rock types, complex lithology, fast lithofacies change, large physical property and pore structure difference and the like, so that the difficulty in exploration target identification and reservoir prediction is increased. The rock physical model establishes an important relation between rock microscopic properties and macroscopic rock physical characteristics, however, the rock physical model suitable for volcanic rocks is not established at the present stage. Therefore, a set of technologies from laboratory sample testing, reservoir characteristic research to seismic petrophysical needs to be established, and a petrophysical model applied to volcanic rock is established.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to establish important relation between rock microscopic properties and macroscopic rock physical characteristics through a rock physical model, therefore, the invention provides a rock physical model establishing method, a rock physical model establishing device, electronic equipment and a storage medium, which are suitable for volcanic rocks.
In order to solve the technical problem, the invention provides a rock physical model building method, which comprises the following steps:
performing elasticity test on the plunger sample, and obtaining a first type of test result;
carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result;
obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result;
establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters;
wherein the plunger sample and the rock slice are prepared from a core sample.
Preferably, the preparation mode of the plunger sample and the rock slice comprises the following steps:
processing a rock core sample of volcanic rock into a plunger sample with a set size;
and selecting a slicing position near the drilling position of the plunger sample, drilling the core sample, and grinding the core sample to a rock slice with a set thickness.
Preferably, the step of performing an elasticity test on the plunger sample and obtaining a first type of test result comprises:
scanning the plunger sample by using a CT scanner to obtain the gray frequency distribution of a CT image, and quantitatively analyzing the structural parameters of different pores in the plunger sample based on the gray frequency distribution, wherein the different pores comprise at least one of air hole karst caves, inter-granular pores, cracks and microcracks;
measuring physical parameters of the plunger sample by using a porosity and permeability instrument, and obtaining porosity and permeability corresponding to different lithologies;
inputting the structural parameters, the porosity and the permeability into a self-compatible approximate-differential equivalent medium model to simulate the pore structures of different pores, and performing an elasticity test to obtain a first type of test result, wherein the first type of test result comprises the elasticity parameters of the dry rock skeleton, and the elasticity parameters comprise at least one of volume modulus and shear modulus.
Preferably, the method further comprises:
and simulating the fluid in different pores by using a Gassmann equation to obtain the saturated elasticity parameters of the core sample, wherein the saturated elasticity parameters comprise at least one of volume modulus and shear modulus.
Preferably, after the step of establishing a petrophysical quantitative model of volcanic rocks based on the elastic parameters, the method further comprises:
and comparing and analyzing the elastic parameters of the dry rock skeleton and the saturated elastic parameters, and optimizing the rock physical model based on a comparison result.
Preferably, before the step of measuring the physical property parameters of the plunger sample by using a porosity and permeability meter and obtaining the porosity and permeability corresponding to different lithologies, the method further comprises the following steps:
the plunger sample is placed in a drying oven at a set temperature for a set length of time.
Preferably, the step of performing an integrated mineral analysis of the rock laminate and obtaining a second type of test result comprises:
putting the rock slices into a comprehensive mineral analysis system to obtain mineral energy spectrums of the rock slices;
and quantitatively analyzing the composition and the morphology of the mineral phases of different lithologic samples according to the mineral energy spectrum.
In order to solve the above technical problem, the present invention provides a rock physical model building apparatus, including:
the first testing module is used for performing elasticity testing on the plunger sample and obtaining a first type of testing result;
the second testing module is used for carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of testing result;
the parameter determining module is used for obtaining the elastic parameters of the core sample according to the first type of test results and the second type of test results;
a model building module to:
establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters;
wherein the plunger sample and the rock slice are prepared from a core sample.
Preferably, the first test module is specifically configured to:
scanning the plunger sample by using a CT scanner to obtain the gray frequency distribution of a CT image, and quantitatively analyzing the structural parameters of different pores in the plunger sample based on the gray frequency distribution, wherein the different pores comprise at least one of pore karst caves, inter-granular pores, cracks and microcracks;
measuring physical property parameters of the plunger sample by using a porosity and permeability instrument, and obtaining porosity and permeability corresponding to different lithologies;
inputting the structural parameters, the porosity and the permeability into a self-compatible approximate-differential equivalent medium model to simulate the pore structures of different pores, and performing an elasticity test to obtain a first type of test result, wherein the first type of test result comprises the elasticity parameters of the dry rock skeleton, and the elasticity parameters comprise at least one of volume modulus and shear modulus.
Preferably, the apparatus further comprises a saturation parameter obtaining module, configured to:
and simulating the fluid in different pores by using a Gassmann equation to obtain the saturated elasticity parameters of the core sample, wherein the saturated elasticity parameters comprise at least one of volume modulus and shear modulus.
Preferably, the model building module is further configured to:
after a rock physics quantitative model of the volcanic rock is established based on the elastic parameters, the elastic parameters of the dry rock skeleton and the saturated elastic parameters are compared and analyzed, and the rock physics model is optimized based on the comparison result.
Preferably, the apparatus further comprises a drying module for:
and (3) measuring physical property parameters of the plunger sample by using a porosity and permeability instrument, and before obtaining porosity and permeability corresponding to different lithologies, placing the plunger sample in a drying box to continuously dry for a set time at a set temperature.
Preferably, the second test module is specifically configured to:
putting the rock slices into a comprehensive mineral analysis system to obtain mineral energy spectrums of the rock slices; and quantitatively analyzing the composition and the morphology of the mineral phases of different lithologic samples according to the mineral energy spectrum.
In order to solve the above technical problem, the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above method when executing the computer program.
To solve the above technical problem, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
by applying the rock physical model establishing method, the rock physical model establishing device, the computer equipment and the storage medium, reservoir characteristic parameters of volcanic rock are accurately obtained by carrying out reservoir characteristic quantitative test analysis on the rock core sample, and on the basis, the influences of rock components, pore types and pore structure characteristics in the reservoir on geophysical parameters are researched by utilizing equivalent medium theoretical simulation, so that volcanic rock lithology identification and favorable reservoir prediction are guided. Based on comprehensive mineral analysis and CT scanning experiments, the invention can directly quantify the mineral types and contents, the pore aspect ratio and other parameters of different lithologic samples of the volcanic reservoir, reduce the artificial experience errors introduced by the traditional common flake identification and cast flake identification, optimize an equivalent medium theoretical model for simulation on the basis, and finally construct a rock physical model suitable for the volcanic reservoir.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a petrophysical model building method according to an embodiment of the present invention;
FIG. 2 is another flow chart of a petrophysical model building method provided by an embodiment of the invention;
FIG. 3 is a further flowchart of a petrophysical model building method according to an embodiment of the present invention;
FIG. 4 is a diagram of a rock physical model building apparatus according to an embodiment of the present invention;
FIG. 5 is another block diagram of a petrophysical modeling apparatus according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating another rock physical model building apparatus according to an embodiment of the present invention;
fig. 7 is a block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Volcanic hydrocarbon reservoirs have attracted a great deal of attention from the oil and gas industry as a new field of oil and gas exploration and have become one of the important fields of increasing storage. The volcanic reservoir has the characteristics of multiple rock types, complex lithology, fast lithofacies change, large difference of physical properties and pore structures and the like, so that the difficulty of exploration target identification and reservoir prediction is increased. The rock physical model establishes an important relation between rock microscopic properties and macroscopic rock physical characteristics, however, the rock physical model suitable for volcanic rocks is not established at the present stage.
Therefore, the invention provides a rock physical model establishing method and device, electronic equipment and a storage medium suitable for volcanic rocks, and aims to solve the problems in the prior art. The method is based on TIMA (TESCAN Integrated Mineral Analyzer) comprehensive Mineral analysis and CT scanning experiments, can directly quantify and obtain the Mineral types and contents, the pore aspect ratio and other parameters of different lithologic samples of the volcanic reservoir, can reduce the artificial experience errors introduced by the traditional common slice identification and cast slice identification, and preferably selects an equivalent medium theoretical model for simulation on the basis, thereby constructing the petrophysical model suitable for the volcanic reservoir.
The rock physical model building method provided by the embodiment of the invention is explained below.
Example one
As shown in fig. 1, a flowchart of a petrophysical model building method provided by an embodiment of the present invention may include the following steps:
step S101: the plunger samples were tested for elasticity and the first type of test results were obtained.
Therein, the plunger sample and the rock slice mentioned later are both prepared from a core sample.
In one implementation, the plunger sample and the rock laminate are prepared by:
(1) Processing a rock core sample of volcanic rock into a plunger sample with a set size;
(2) And selecting a slicing position near the drilling position of the plunger sample, drilling the core sample, and grinding the core sample to a rock slice with a set thickness.
Preferably, core samples of field-drilled volcanic rock reservoirs are processed into cylinders, plunger samples, 25mm in diameter and 50mm in length according to petrophysical test requirements, and slicing positions are selected near the drilling positions of the cylinder samples, and the volcanic rock samples are drilled and ground into slices, rock slices, 0.05mm in thickness according to the rock slice manufacturing method (SY/T5913-2004) and placed into slice boxes.
It should be noted that the above are only examples of the plunger sample and the rock slice, and should not be construed as limiting the present invention, and those skilled in the art can make reasonable settings according to the specific situation in the practical application.
Step S102: and carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
Step S103: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
Step S104: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
Therefore, according to the scheme provided by the embodiment of the invention, the reservoir characteristic parameters of the volcanic rock are accurately obtained by quantitatively testing and analyzing the reservoir characteristics of the core sample, and on the basis, the influences of rock components, pore types and pore structure characteristics in the reservoir on the geophysical parameters are researched by utilizing equivalent medium theory simulation, so that the volcanic rock lithology identification and favorable reservoir prediction are guided.
Example two
As shown in fig. 2, another flowchart of a petrophysical model building method according to an embodiment of the present invention is provided, and the petrophysical model building method may include the following steps:
step S201: and scanning the plunger sample by utilizing a CT scanner to obtain the gray frequency distribution of a CT image, and quantitatively analyzing the structural parameters of different pores in the plunger sample based on the gray frequency distribution.
Wherein the different pores comprise at least one of pore caverns, intergranular pores, cracks and microcracks.
In one implementation, a micron-scale X-ray CT scanner may be used to perform a non-destructive scan on a plunger sample to obtain a grayscale frequency distribution of a CT image, and based on the grayscale frequency distribution, the structural parameters of different pores in the plunger sample may be quantitatively analyzed.
It should be noted that the above listed micron-scale X-ray CT scanner is only a specific implementation manner provided by the embodiment of the present invention, and certainly, other implementation manners may also be available, and those skilled in the art may perform reasonable setting according to specific situations in practical applications.
Step S202: and measuring the physical property parameters of the plunger sample by using a porosity and permeability instrument, and obtaining the porosity and the permeability corresponding to different lithologies.
In one aspect, before the step of measuring the physical property parameter of the plunger sample by using a porosity and permeability meter and obtaining the porosity and permeability corresponding to different lithologies, the method further includes: the plunger sample is placed in a drying oven at a set temperature for a set length of time.
For example, the prepared plunger sample can be placed in a drying oven for drying for 24 hours at 110 ℃, and then the physical property parameters of the rock sample are measured by using an AP-608 pressure porosity permeability instrument, so as to obtain the porosities and permeabilities with different lithologies.
It should be noted that the above mentioned drying oven at 110 ℃ is a preferred mode of the embodiment of the present invention, and should not be construed as limiting the present invention, and likewise, drying for 24 hours is also a preferred mode of the embodiment of the present invention, and should not be construed as limiting the present invention, and those skilled in the art need to set the temperature and drying time of the drying oven appropriately according to the specific situation in the practical application.
Step S203: and inputting the structure parameters, the porosity and the permeability into a self-compatible approximate-differential equivalent medium model to simulate the pore structures of different pores, and performing an elasticity test to obtain a first type of test result.
Wherein the first type of test result comprises an elasticity parameter of the dry rock skeleton, and the elasticity parameter comprises at least one of a bulk modulus and a shear modulus.
In one implementation, on the basis of obtaining quantitative parameters of mineral components and pore structures of different lithologies of volcanic rock, a Voigt-Reuss-Hill model can be used for simulating multiple minerals such as quartz, albite and orthoclase to obtain elastic parameters including volume modulus and shear modulus, then a self-compatible approximate-differential equivalent medium model (namely, an SCA-DEM model) is used for simulating pore structures including intergranular pores, pore karst caves and microcracks to obtain a first type of test results of elastic parameters of a dry rock skeleton, and Gassmann equations are used for simulating fluids in different pores to obtain saturated elastic parameters of the core sample, wherein the saturated elastic parameters include at least one of volume modulus and shear modulus.
Step S204: and carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are test results for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
Step S205: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
Step S206: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
It should be noted that steps S204 to S206 in the method embodiment shown in fig. 2 are similar to steps S102 to S104 in the method embodiment shown in fig. 1, and are not repeated here, and please refer to the detailed contents of the embodiment shown in fig. 1 for relevant points.
In one implementation, the step of building a petrophysical quantitative model of volcanic rock based on the elastic parameters may further include:
and comparing and analyzing the elastic parameters of the dry rock skeleton and the saturated elastic parameters, and optimizing the rock physical model based on a comparison result.
Specifically, a petrophysical parameter testing system MTS815 can be used for testing a cylindrical sample to obtain the elastic parameters of a saturated rock sample, the elastic parameters are compared with the results obtained by using an equivalent medium theoretical model (SCA-DEM), the mineral and fluid modulus parameters are continuously adjusted, and the constructed petrophysical model is optimized.
It should be noted that the embodiment of the present invention has all the beneficial effects of the method embodiment shown in fig. 1, in addition, the embodiment of the present invention also provides a specific way for obtaining the first-type test result, and based on comprehensive mineral analysis and CT scanning experiments, parameters such as mineral types and contents, pore aspect ratio, and the like of different lithologic samples of the volcanic rock reservoir can be directly obtained quantitatively, so that human experience errors introduced by conventional common flake identification and cast flake identification are reduced, and on the basis, an equivalent medium theoretical model is optimized for simulation, and finally, a rock physical model suitable for the volcanic rock reservoir is constructed.
EXAMPLE III
As shown in fig. 3, another flowchart of a method for building a petrophysical model according to an embodiment of the present invention is provided, and the method for building a petrophysical model may include the following steps:
step S301: the plunger samples were tested for elasticity and the first type of test results were obtained.
Step S302: and putting the rock slices into an integrated mineral analysis system to obtain mineral energy spectrums of the rock slices.
Step S303: and quantitatively analyzing the composition and the morphology of mineral phases of different lithologic samples according to the mineral energy spectrum.
In one implementation, the prepared slice may be put into a TIMA (TESCAN Integrated Mineral Analyzer) comprehensive Mineral analysis system to obtain a Mineral energy spectrum of the sample, and the Mineral phase composition and morphology of different lithologic samples may be quantitatively analyzed according to a rock Mineral energy spectrum quantitative analysis method (SY/T6189-1996).
The TIMA (TESCAN INTEGRATED MINERAL Analyzer) Integrated Mineral analysis system comprises a Scanning Electron Microscope (SEM) MIRA3 and an energy spectrometer EDAX Element 30.
Step S304: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results. Step S305: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
It should be noted that the embodiment of the present invention has all the beneficial effects of the embodiment of the method shown in fig. 1, and in addition, the embodiment of the present invention also provides a specific way for obtaining the second type of test results, which can quantitatively obtain the elastic parameters of the core sample by performing comprehensive analysis on the rock slice, and can accurately construct the petrophysical model suitable for the volcanic rock reservoir based on the elastic parameters.
Example four
As shown in fig. 4, a block diagram of a rock physical model building apparatus provided in an embodiment of the present invention may include the following modules:
the first testing module 410 is used for performing an elasticity test on the plunger sample and obtaining a first type of test result; wherein the plunger sample and the rock slice are prepared from a core sample.
Therein, the plunger sample and the rock slices mentioned later are both prepared from a core sample.
In one implementation, the plunger sample and the rock laminate are prepared by:
processing a rock core sample of volcanic rock into a plunger sample with a set size; and selecting a slicing position near the drilling position of the plunger sample, drilling the core sample, and grinding the core sample to a rock slice with a set thickness.
Preferably, according to the rock physical test requirements, a rock core sample of a volcanic rock reservoir drilled in the field is processed into a cylinder with the diameter of 25mm and the length of 50mm, namely a plunger sample, a slicing position is selected near the drilling position of the cylinder sample, and the volcanic rock sample is drilled and ground into a slice with the thickness of 0.05mm, namely a rock slice according to a rock slice manufacturing method (SY/T5913-2004) and is placed in a slice box.
It should be noted that the above are only examples of the plunger sample and the rock slice, and should not be construed as limiting the present invention, and those skilled in the art can make reasonable arrangements according to the specific situation in practical application.
And the second testing module 420 is used for carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of testing result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
And the parameter determining module 430 is configured to obtain the elasticity parameter of the core sample according to the first type of test result and the second type of test result.
And the model establishing module 440 is used for establishing a petrophysical quantitative model of the volcanic rock based on the elastic parameters.
Therefore, the scheme provided by the embodiment of the invention can accurately obtain the reservoir characteristic parameters of the volcanic rock by carrying out reservoir characteristic quantitative test analysis on the core sample, and on the basis, the influence of rock components, pore types and pore structure characteristics in the reservoir on the geophysical parameters is researched by utilizing equivalent medium theory simulation, so that the volcanic rock lithology identification and favorable reservoir prediction are guided. Based on comprehensive mineral analysis and CT scanning experiments, the invention can directly quantify the mineral types and contents, the pore aspect ratio and other parameters of different lithologic samples of the volcanic reservoir, reduce the artificial experience errors introduced by the traditional common thin slice identification and cast thin slice identification, optimize an equivalent medium theoretical model for simulation on the basis, and finally construct a rock physical model suitable for the volcanic reservoir.
In one case, the first testing module 410 is specifically configured to:
scanning the plunger sample by using a CT scanner to obtain the gray frequency distribution of a CT image, and quantitatively analyzing the structural parameters of different pores in the plunger sample based on the gray frequency distribution, wherein the different pores comprise at least one of air hole karst caves, inter-granular pores, cracks and microcracks;
measuring physical property parameters of the plunger sample by using a porosity and permeability instrument, and obtaining porosity and permeability corresponding to different lithologies;
inputting the structural parameters, the porosity and the permeability into a self-compatible approximate-differential equivalent medium model to simulate the pore structures of different pores, and performing an elasticity test to obtain a first type of test result, wherein the first type of test result comprises the elasticity parameters of the dry rock skeleton, and the elasticity parameters comprise at least one of volume modulus and shear modulus.
In one implementation, a micron-scale X-ray CT scanner may be used to perform a non-destructive scan on a plunger sample to obtain a grayscale frequency distribution of a CT image, and based on the grayscale frequency distribution, the structural parameters of different pores in the plunger sample may be quantitatively analyzed.
In one aspect, before the step of measuring the physical property parameter of the plunger sample by using a porosity and permeability meter and obtaining the porosity and permeability corresponding to different lithologies, the method further includes: the plunger sample is placed in a drying oven at a set temperature for a set length of time.
For example, the prepared plunger sample can be placed in a drying oven for drying for 24 hours at 110 ℃, and then the physical property parameters of the rock sample are measured by using an AP-608 pressure porosity permeability instrument, so as to obtain the porosities and permeabilities with different lithologies.
In one implementation, on the basis of obtaining quantitative parameters of mineral components and pore structures of different lithologies of volcanic rock, a Voigt-Reuss-Hill model can be used for simulating multiple minerals such as quartz, albite and orthoclase to obtain elastic parameters including volume modulus and shear modulus, then a self-compatible approximate-differential equivalent medium model (namely, an SCA-DEM model) is used for simulating pore structures including intergranular pores, pore karst caves and microcracks to obtain a first type of test results of elastic parameters of a dry rock skeleton, and Gassmann equations are used for simulating fluids in different pores to obtain saturated elastic parameters of the core sample, wherein the saturated elastic parameters include at least one of volume modulus and shear modulus.
In one implementation, the step of building a petrophysical quantitative model of volcanic rock based on the elastic parameters may further include:
and comparing and analyzing the elastic parameters of the dry rock skeleton and the saturated elastic parameters, and optimizing the rock physical model based on a comparison result.
Specifically, a rock physical parameter testing system MTS815 can be used for testing a cylindrical sample to obtain an elastic parameter of a saturated rock sample, and the elastic parameter is compared with a result obtained by using an equivalent medium theoretical model (SCA-DEM) for analysis, so that the modulus parameters of minerals and fluids are continuously adjusted, and the constructed rock physical model is optimized.
In another case, the second testing module 420 is specifically configured to:
putting the rock slices into a comprehensive mineral analysis system to obtain mineral energy spectrums of the rock slices; and quantitatively analyzing the composition and the morphology of the mineral phases of different lithologic samples according to the mineral energy spectrum.
In one example, as shown in fig. 5, the apparatus may further include a saturation parameter obtaining module 450 configured to:
and simulating the fluid in the different pores by using a Gassmann equation to obtain a saturated elasticity parameter of the core sample, wherein the saturated elasticity parameter comprises at least one of a bulk modulus and a shear modulus.
Accordingly, the model building module 440 is further configured to:
after a rock physics quantitative model of the volcanic rock is established based on the elastic parameters, the elastic parameters of the dry rock skeleton and the saturated elastic parameters are compared and analyzed, and the rock physics model is optimized based on the comparison result.
In another example, as shown in fig. 6, the apparatus may further include a drying module 460 for:
and (3) measuring physical property parameters of the plunger sample by using a porosity and permeability instrument, and before obtaining porosity and permeability corresponding to different lithologies, placing the plunger sample in a drying box to continuously dry for a set time at a set temperature.
EXAMPLE five
To solve the above technical problem, the present invention provides a computer device, as shown in fig. 7, including a memory 510, a processor 520, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method as described above.
In some cases, the method implemented when the processor executes the computer program may include steps S101 to S104:
step S101: the plunger samples were tested for elasticity and the first type of test results were obtained.
Therein, the plunger sample and the rock slice mentioned later are both prepared from a core sample.
In one implementation, the plunger sample and the rock laminate are prepared by:
processing a rock core sample of volcanic rock into a plunger sample with a set size; and selecting a slicing position near the drilling position of the plunger sample, drilling the core sample, and grinding the core sample to a rock slice with a set thickness.
Preferably, according to the rock physical test requirements, a rock core sample of a volcanic rock reservoir drilled in the field is processed into a cylinder with the diameter of 25mm and the length of 50mm, namely a plunger sample, a slicing position is selected near the drilling position of the cylinder sample, and the volcanic rock sample is drilled and ground into a slice with the thickness of 0.05mm, namely a rock slice according to a rock slice manufacturing method (SY/T5913-2004) and is placed in a slice box.
It should be noted that the above are only examples of the plunger sample and the rock slice, and should not be construed as limiting the present invention, and those skilled in the art can make reasonable arrangements according to the specific situation in practical application.
Step S102: and carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
Step S103: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
Step S104: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
In other cases, the method implemented when the processor executes the computer program may include steps S201 to S206:
step S201: and scanning the plunger sample by using a CT scanner to obtain the gray frequency distribution of a CT image, and quantitatively analyzing the structural parameters of different pores in the plunger sample based on the gray frequency distribution.
Wherein the different pores comprise at least one of pore caverns, intergranular pores, cracks and microcracks.
In one implementation, a micron-scale X-ray CT scanner may be used to perform a non-destructive scan of a plunger sample, obtain a grayscale frequency distribution of a CT image, and quantitatively analyze structural parameters of different pores in the plunger sample based on the grayscale frequency distribution.
Step S202: and measuring physical property parameters of the plunger sample by using a porosity and permeability instrument, and obtaining the porosity and the permeability corresponding to different lithologies.
In one aspect, before the step of measuring the physical property parameter of the plunger sample by using a porosity and permeability meter and obtaining the porosity and permeability corresponding to different lithologies, the method further includes: the plunger sample is placed in a drying oven at a set temperature for a set length of time.
For example, the prepared plunger sample can be placed in a drying oven for drying for 24 hours at 110 ℃, and then the physical property parameters of the rock sample are measured by using an AP-608 pressure porosity permeability instrument, so as to obtain the porosities and permeabilities with different lithologies.
Step S203: inputting the structural parameters, the porosity and the permeability into a self-compatible approximate-differential equivalent medium model to simulate the pore structure of different pores, and performing an elasticity test to obtain a first type of test result, wherein the first type of test result comprises the elasticity parameters of the dry rock skeleton, and the elasticity parameters comprise at least one of the bulk modulus and the shear modulus.
In one implementation, on the basis of obtaining quantitative parameters of mineral components and pore structures of different lithologies of volcanic rock, a Voigt-reus-Hill model can be used for simulating multiple minerals such as quartz, albite and orthoclase to obtain elastic parameters including volume modulus and shear modulus, then a self-compatible approximate-differential equivalent medium model (namely, an SCA-DEM model) is used for simulating pore structures including intergranular pores, pore karst caves and microcracks to obtain a first type of test results including elastic parameters of a dry rock skeleton, and a Gassmann equation is used for simulating fluids in different pores to obtain saturated elastic parameters of the core sample, wherein the saturated elastic parameters include at least one of volume modulus and shear modulus.
Step S204: and carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
Step S205: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
Step S206: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
In one implementation, the step of building a petrophysical quantitative model of volcanic rock based on the elastic parameters may further include:
and comparing and analyzing the elastic parameters of the dry rock skeleton and the saturated elastic parameters, and optimizing the rock physical model based on a comparison result.
Specifically, a petrophysical parameter testing system MTS815 can be used for testing a cylindrical sample to obtain the elastic parameters of a saturated rock sample, the elastic parameters are compared with the results obtained by an equivalent medium theoretical model (namely, an SCA-DEM model) for analysis, the modulus parameters of minerals and fluids are continuously adjusted, and the constructed petrophysical model is optimized.
In other cases, the method implemented by the processor when executing the computer program may include steps S301 to S305:
step S301: the plunger samples were tested for elasticity and the first type of test results were obtained.
Step S302: and putting the rock slices into an integrated mineral analysis system to obtain mineral energy spectrums of the rock slices.
Step S303: and quantitatively analyzing the composition and the morphology of mineral phases of different lithologic samples according to the mineral energy spectrum.
In one implementation, the prepared slice may be put into a TIMA (TESCAN Integrated Mineral Analyzer) comprehensive Mineral analysis system to obtain a Mineral energy spectrum of the sample, and the Mineral phase composition and morphology of different lithologic samples may be quantitatively analyzed according to a rock Mineral energy spectrum quantitative analysis method (SY/T6189-1996).
Step S304: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
Step S305: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer device may include, but is not limited to, a processor 520, a memory 510.
Those skilled in the art will appreciate that fig. 7 is merely an example of a computing device and is not intended to be limiting of computing devices, and may include more or fewer components than those shown, or some of the components may be combined, or different components, e.g., the computing device may also include input output devices, network access devices, buses, etc.
The Processor 520 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 510 may be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. The memory 510 may also be an external storage device of a computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device.
Further, the memory 510 may also include both internal storage units and external storage devices of the computer device. The memory 510 is used for storing the computer programs and other programs and data required by the computer device. The memory 510 may also be used to temporarily store data that has been output or is to be output.
EXAMPLE six
The embodiment of the present application further provides a computer-readable storage medium, which may be the computer-readable storage medium contained in the memory in the foregoing embodiment; or it may be a computer-readable storage medium that exists separately and is not incorporated into a computer device. The computer readable storage medium stores one or more computer programs which, when executed by a processor, implement the method described above.
In some cases, the method implemented when the program is executed by the processor may include steps S101 to S104:
step S101: the plunger samples were tested for elasticity and the first type of test results were obtained.
Therein, the plunger sample and the rock slices mentioned later are both prepared from a core sample.
In one implementation, the plunger sample and the rock laminate are prepared by:
processing a rock core sample of volcanic rock into a plunger sample with a set size; and selecting a slicing position near the drilling position of the plunger sample, drilling the core sample, and grinding the core sample to a rock slice with a set thickness.
Preferably, according to the rock physical test requirements, a rock core sample of a volcanic rock reservoir drilled in the field is processed into a cylinder with the diameter of 25mm and the length of 50mm, namely a plunger sample, a slicing position is selected near the drilling position of the cylinder sample, and the volcanic rock sample is drilled and ground into a slice with the thickness of 0.05mm, namely a rock slice according to a rock slice manufacturing method (SY/T5913-2004) and is placed in a slice box.
It should be noted that the above are only examples of the plunger sample and the rock slice, and should not be construed as limiting the present invention, and those skilled in the art can make reasonable settings according to the specific situation in the practical application.
Step S102: and carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
Step S103: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
Step S104: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
In other cases, the method implemented when the program is executed by the processor may include steps S201 to S206:
step S201: and scanning the plunger sample by utilizing a CT scanner to obtain the gray frequency distribution of a CT image, and quantitatively analyzing the structural parameters of different pores in the plunger sample based on the gray frequency distribution.
Wherein the different pores comprise at least one of pore caverns, intergranular pores, cracks and microcracks.
In one implementation, a micron-scale X-ray CT scanner may be used to perform a non-destructive scan of a plunger sample, obtain a grayscale frequency distribution of a CT image, and quantitatively analyze structural parameters of different pores in the plunger sample based on the grayscale frequency distribution.
Step S202: and measuring physical property parameters of the plunger sample by using a porosity and permeability instrument, and obtaining the porosity and the permeability corresponding to different lithologies.
In one case, before the step of measuring the physical property parameters of the plunger sample by using a porosity and permeability meter and obtaining the porosities and the permeabilities corresponding to different lithologies, the method further comprises the following steps of: the plunger sample is placed in a drying oven at a set temperature for a set length of time.
For example, the prepared plunger sample can be placed in a drying oven for drying for 24 hours at 110 ℃, and then the physical property parameters of the rock sample are measured by using an AP-608 pressure porosity permeability instrument, so as to obtain the porosities and permeabilities with different lithologies.
Step S203: inputting the structural parameters, the porosity and the permeability into a self-compatible approximate-differential equivalent medium model to simulate the pore structure of different pores, and performing an elasticity test to obtain a first type of test result, wherein the first type of test result comprises the elasticity parameters of the dry rock skeleton, and the elasticity parameters comprise at least one of the bulk modulus and the shear modulus.
In one implementation, on the basis of obtaining quantitative parameters of mineral components and pore structures of different lithologies of volcanic rock, a Voigt-Reuss-Hill model can be used for simulating multiple minerals such as quartz, albite and orthoclase to obtain elastic parameters including volume modulus and shear modulus, then a self-compatible approximate-differential equivalent medium model (namely, an SCA-DEM model) is used for simulating pore structures including intergranular pores, pore karst caves and microcracks to obtain a first type of test results of elastic parameters of a dry rock skeleton, and Gassmann equations are used for simulating fluids in different pores to obtain saturated elastic parameters of the core sample, wherein the saturated elastic parameters include at least one of volume modulus and shear modulus.
Step S204: and carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
Step S205: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
Step S206: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
In one implementation, the step of building a petrophysical quantitative model of volcanic rock based on the elastic parameters may further include: and comparing and analyzing the elastic parameters of the dry rock skeleton and the saturated elastic parameters, and optimizing the rock physical model based on a comparison result.
Specifically, a petrophysical parameter testing system MTS815 can be used for testing a cylindrical sample to obtain the elastic parameters of a saturated rock sample, the elastic parameters are compared with the results obtained by using an equivalent medium theoretical model (SCA-DEM), the mineral and fluid modulus parameters are continuously adjusted, and the constructed petrophysical model is optimized.
In other cases, the method implemented when the program is executed by the processor may include steps S301 to S305:
step S301: the plunger samples were tested for elasticity and the first type of test results were obtained.
Step S302: and putting the rock slices into an integrated mineral analysis system to obtain mineral energy spectrums of the rock slices.
Step S303: and quantitatively analyzing the composition and the morphology of mineral phases of different lithologic samples according to the mineral energy spectrum.
In one implementation, the prepared thin slice can be put into a TIMA (TESCAN Integrated Mineral Analyzer) comprehensive Mineral analysis system to obtain the Mineral energy spectrum of the sample, and the Mineral phase composition and the morphology of different lithologic samples can be quantitatively analyzed according to a rock Mineral energy spectrum quantitative analysis method (SY/T6189-1996).
Step S304: and obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result.
It should be noted that the first type of test result is a test result for a plunger sample, and may include a CT scan result, a pore permeation test result, and an elasticity test result; the second type of test results are for rock slices. The "first type test result" and the "second type test result" are used herein only for distinguishing the test results of different rock samples, and are not used for ordering or limiting the test results.
Step S305: and establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters.
The integrated module/unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U.S. disk, removable hard disk, magnetic diskette, optical disk, computer Memory 510, read-Only Memory (ROM), random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
For system or apparatus embodiments, since they are substantially similar to method embodiments, they are described in relative simplicity, and reference may be made to some descriptions of method embodiments for related points.
It should be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is only used for illustration, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the apparatus may be divided into different functional units or modules to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit.
In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
It is to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if the described condition or event is detected" may be interpreted to mean "upon determining" or "in response to determining" or "upon detecting the described condition or event" or "in response to detecting the described condition or event", depending on the context.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. A petrophysical model building method, comprising:
performing elasticity test on the plunger sample, and obtaining a first type of test result;
carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of test result;
obtaining the elastic parameters of the core sample according to the first type of test result and the second type of test result;
establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters;
wherein the plunger sample and the rock slice are prepared from a core sample.
2. The petrophysical modeling method of claim 1, wherein the plunger sample and the rock laminate are prepared in a manner that comprises:
processing a rock core sample of volcanic rock into a plunger sample with a set size;
and selecting a slicing position near the drilling position of the plunger sample, drilling the core sample, and grinding the core sample to a rock slice with a set thickness.
3. The petrophysical modeling method of claim 1, wherein said step of performing a spring test on the plunger sample and obtaining a first type of test result comprises:
scanning the plunger sample by using a CT scanner to obtain the gray frequency distribution of a CT image, and quantitatively analyzing the structural parameters of different pores in the plunger sample based on the gray frequency distribution, wherein the different pores comprise at least one of pore karst caves, inter-granular pores, cracks and microcracks;
measuring physical property parameters of the plunger sample by using a porosity and permeability instrument, and obtaining porosity and permeability corresponding to different lithologies;
inputting the structural parameters, the porosity and the permeability into a self-compatible approximate-differential equivalent medium model to simulate the pore structures of different pores, and performing an elasticity test to obtain a first type of test result, wherein the first type of test result comprises the elasticity parameters of the dry rock skeleton, and the elasticity parameters comprise at least one of volume modulus and shear modulus.
4. The petrophysical model building method of claim 3, further comprising:
and simulating the fluid in different pores by using a Gassmann equation to obtain the saturated elasticity parameters of the core sample, wherein the saturated elasticity parameters comprise at least one of volume modulus and shear modulus.
5. The petrophysical modeling method of claim 4, wherein said step of modeling petrophysical quantification of volcanic rock based on said elastic parameters is followed by the steps of:
and comparing and analyzing the elastic parameters of the dry rock skeleton and the saturated elastic parameters, and optimizing the rock physical model based on a comparison result.
6. The method for establishing the petrophysical model according to claim 3, wherein before the step of measuring the physical parameters of the plunger sample by using a porosity and permeability instrument and obtaining the porosities and the permeabilities corresponding to different lithologies, the method further comprises the following steps of:
the plunger sample is placed in a drying oven at a set temperature for a set length of time.
7. The petrophysical model building method of claim 1 wherein said step of performing comprehensive mineral analysis on said rock slices and obtaining a second type of test result comprises:
putting the rock slices into a comprehensive mineral analysis system to obtain mineral energy spectrums of the rock slices;
and quantitatively analyzing the composition and the morphology of mineral phases of different lithologic samples according to the mineral energy spectrum.
8. A petrophysical model building apparatus, comprising:
the first testing module is used for performing elasticity testing on the plunger sample and obtaining a first type of testing result;
the second testing module is used for carrying out comprehensive mineral analysis on the rock slices and obtaining a second type of testing result;
the parameter determining module is used for obtaining the elastic parameters of the core sample according to the first type of test results and the second type of test results;
the model establishing module is used for establishing a rock physical quantitative model of the volcanic rock based on the elastic parameters;
wherein the plunger sample and the rock slice are prepared from a core sample.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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| CN117250658B (en) * | 2023-11-17 | 2024-02-09 | 核工业北京地质研究院 | Method for creating seismic dataset of investigation region |
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