CN109580906B - Method and system for manufacturing shale brittleness identification chart based on rock physics - Google Patents
Method and system for manufacturing shale brittleness identification chart based on rock physics Download PDFInfo
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Abstract
The invention discloses a method and a system for manufacturing a shale brittleness identification chart based on rock physics, wherein the manufacturing method comprises the following steps: acquiring a brittleness index based on experimental data of a measured sample; acquiring a brittleness sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index; and drawing a brittleness identification chart based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters. The manufacturing method can obtain the change relation between the conventional geophysical parameters and the brittleness index, and provides a theoretical basis for effectively predicting the earthquake, performing fracturing construction and other key problems.
Description
Technical Field
The invention belongs to the field of petrophysical research, and particularly relates to a method and a system for manufacturing a shale brittleness identification chart based on petrophysical.
Background
The shale gas reservoir brittleness parameter is an important factor related to fracturing design and oil gas yield, and the brittle shale is beneficial to natural fracture development and hydraulic fracturing to form a fracture network, so that the research on shale gas brittleness is of great significance to shale gas exploration and development.
The brittleness of a rock is a property in which the rock breaks suddenly when subjected to a certain limit value, undergoes little plastic deformation before breaking, and is released entirely in the form of elastic energy upon breaking. The brittleness coefficient or brittleness index is generally used for describing the brittleness of the rock, and the brittleness index of the rock can be determined according to a rock mechanical elasticity parameter method and a rock mineral composition method. At present, the rock brittleness index cannot be predicted by directly utilizing seismic data through a geophysical method which is widely applied.
Therefore, there is a need to develop a method and a system for making a shale brittleness identification chart based on petrophysics.
Disclosure of Invention
The invention provides a method and a system for manufacturing a shale brittleness identification chart based on petrophysics, which can obtain the change relation between the conventional geophysical parameters and the brittleness index and provide a theoretical basis for key problems of effective earthquake prediction, fracturing construction and the like.
In order to achieve the above object, according to an aspect of the present invention, there is provided a method for making a petrophysical-based shale brittleness identification chart, including:
acquiring a brittleness index based on experimental data of a measured sample;
acquiring a brittleness sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index;
and drawing a brittleness identification chart based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters.
According to another aspect of the invention, a system for identifying a plate based on petrophysical shale brittleness includes:
a memory storing computer-executable instructions;
a processor executing computer executable instructions in the memory to perform the steps of:
acquiring a brittleness index based on experimental data of a measured sample;
acquiring a brittleness sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index;
and drawing a brittleness identification chart based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters.
The invention has the beneficial effects that: the method combines the brittleness index obtained by rock physics test, more accurately determines the brittleness sensitive parameter, and utilizes the anisotropic rock physics model suitable for shale to manufacture the rock physics chart with higher precision so as to utilize geosphere physical data to identify the shale brittleness.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
Fig. 1 shows a flowchart of a method for making a petrophysical-based shale brittleness identification template according to an embodiment of the present invention.
Fig. 2 shows a flow chart of a method for making a petrophysical-based shale brittleness identification template according to an embodiment of the present invention.
FIG. 3 shows a cross-plot of the brittle-sensitive elastic parameter of a sample according to one embodiment of the present invention.
FIG. 4 illustrates a brittleness identification chart based on a shale anisotropic petrophysical model according to one embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in more detail below. While the following describes preferred embodiments of the present invention, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Embodiment mode 1
Fig. 1 shows a flowchart of a method for making a petrophysical-based shale brittleness identification template according to an embodiment of the present invention. As shown in fig. 1, in this embodiment, the method for making a petrophysical-based shale brittleness identification chart according to the present invention includes:
acquiring a brittleness index based on experimental data of a measured sample;
acquiring a brittleness sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index;
and drawing a brittleness identification chart based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters.
The manufacturing method of the shale brittleness identification chart based on the petrophysics can obtain the change relation between the conventional geophysical parameters and the brittleness index, and provides a theoretical basis for key problems of effective earthquake prediction, fracturing construction and the like.
The concrete steps of the method for making the shale brittleness identification chart based on petrophysics are explained in detail below.
In one example, the friability index is obtained based on measuring sample experimental data.
In one example, a core sample is collected at a target zone of a study area, the sample is analyzed for mineral component content by X-ray diffraction, and a brittleness index is determined from the mineral component content.
Specifically, a hydrocarbon source rock sample capable of representing the actual geological condition of a target horizon in a research area is collected, the content of mineral components in the sample is analyzed through X-ray diffraction, and the brittleness index is obtained through the content of the mineral components.
In one example, the mineral component content of the sample is analyzed by X-ray diffraction, and the brittleness index is obtained by the mineral component content, and the concrete formula is as follows:
B1＝(Vq+Vc)/(Vq+Vc+Vs) (1)
wherein B1 is the brittleness index, VqIs the quartz content, VcIs the content of calcite, VsIs the clay content.
In one example, the obtaining the friability index comprises: and carrying out triaxial strain stress-strain test on the measured sample to obtain a static Young modulus and a static Poisson ratio, and calculating the brittleness index according to the static Young modulus and the static Poisson ratio.
In one example, the brittleness index is specifically formulated by the static young's modulus and the static poisson's ratio as follows:
wherein, Delta E is static Young modulus, Delta upsilon is static Poisson ratio, B2 is brittleness index, E is actually measured static Young modulus, E is measured static Young modulusmaxMaximum Young's modulus, EminMinimum Young's modulus, upsilon, is the measured static Poisson ratio, upsilonmaxIs the maximum Poisson ratio, upsilonminIs the minimum poisson's ratio.
Specifically, the brittleness index can be obtained by calculating the content of mineral components, and can also be obtained by performing a triaxial strain-force-strain test on a measurement sample.
In one example, a brittleness-sensitive elastic parameter is obtained based on a logging parameter of a measurement sample and the brittleness index.
In one example, obtaining a brittleness-sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index comprises: and measuring the longitudinal wave velocity and the transverse wave velocity of the sample by using an MTS acoustic emission detection system, estimating the volume modulus, the shear modulus, the longitudinal and transverse wave velocity ratio, the Young modulus and the Poisson ratio, taking the brittleness index as a color code, and performing cross analysis on the parameters to preferably select the brittleness sensitive elastic parameters.
In one example, a brittleness identification chart is drawn based on the shale anisotropic petrophysical model and the brittleness-sensitive elastic parameter.
In one example, based on the shale anisotropic petrophysical model and the brittleness-sensitive elastic parameter, the drawing a brittleness identification chart comprises: based on the directional arrangement and interlamination seams of clay minerals, elastic parameters such as longitudinal wave velocity, transverse wave velocity and the like of shale under different mineral components are predicted by inputting the content, the volume modulus, the shear modulus and the pore aspect ratio of a rock matrix and utilizing a shale anisotropic rock physical model, quartz, calcite and clay are used as end members, different mineral components are used as color codes according to a certain interval to draw the intersection of brittleness-sensitive elastic parameters, and a brittleness identification chart is drawn.
Specifically, the directional arrangement and interlamellar gaps of clay minerals are considered, and elastic parameters such as longitudinal wave velocity, transverse wave velocity and the like of the shale under different mineral components are predicted by inputting the content, the volume modulus, the shear modulus and the pore aspect ratio of the rock matrix and utilizing an anisotropic rock physical model suitable for the shale.
Quartz, calcite and clay are used as end members, different mineral components are arranged at certain intervals, the change of TOC and porosity is considered in the change of the mineral components, meanwhile, the brittleness index is used as a color code to draw the intersection of brittleness sensitive elastic parameters, a quantity version of brittleness identification is established, and the purpose of carrying out quantitative analysis on a target area is achieved.
Embodiment mode 2
In this embodiment, a system for identifying a plate based on petrophysical shale brittleness includes:
a memory storing computer-executable instructions;
a processor executing computer executable instructions in the memory to perform the steps of:
acquiring a brittleness index based on experimental data of a measured sample;
acquiring a brittleness sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index;
and drawing a brittleness identification chart based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters.
In one example, the obtaining the friability index comprises: collecting a core sample of a target layer position in a research area, analyzing the content of mineral components in the sample through X-ray diffraction, and solving a brittleness index through the content of the mineral components, wherein the concrete formula is as follows:
B1＝(Vq+Vc)/(Vq+Vc+Vs) (1)
wherein B1 is the brittleness index, VqIs the quartz content, VcIs the content of calcite, VsIs the clay content.
In one example, the obtaining the friability index comprises: carrying out triaxial strain stress-strain test on a measured sample to obtain a static Young modulus and a static Poisson ratio, and solving a brittleness index according to the static Young modulus and the static Poisson ratio, wherein the concrete formula is as follows:
wherein, Delta E is static Young modulus, Delta upsilon is static Poisson ratio, B2 is brittleness index, E is actually measured static Young modulus, E is measured static Young modulusmaxMaximum Young's modulus, EminMinimum Young's modulus, upsilon, is the measured static Poisson ratio, upsilonmaxIs the maximum Poisson ratio, upsilonminIs the minimum poisson's ratio.
Examples
Fig. 2 shows a flow chart of a method for making a petrophysical-based shale brittleness identification template according to an embodiment of the present invention. FIG. 3 shows a cross-plot of the brittle-sensitive elastic parameter of a sample according to one embodiment of the present invention. FIG. 4 illustrates a brittleness identification chart based on a shale anisotropic petrophysical model according to one embodiment of the present invention. As shown in fig. 1-4, a method for making a shale brittleness identification chart based on petrophysical, the method comprising:
acquiring a brittleness index based on experimental data of a measured sample;
acquiring a brittleness sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index;
and drawing a brittleness identification chart based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters.
Wherein the obtaining the brittleness index comprises: and carrying out triaxial strain stress-strain test on the measured sample to obtain a static Young modulus and a static Poisson ratio, and calculating the brittleness index according to the static Young modulus and the static Poisson ratio.
Wherein, the concrete formula of the brittleness index is obtained by the static Young modulus and the static Poisson ratio:
wherein, Delta E is static Young modulus, Delta upsilon is static Poisson ratio, B2 is brittleness index, E is actually measured static Young modulus, E is measured static Young modulusmaxMaximum Young's modulus, EminMinimum Young's modulus, upsilon, is the measured static Poisson ratio, upsilonmaxIs the maximum Poisson ratio, upsilonminIs the minimum poisson's ratio.
Wherein, based on the logging parameters of the measurement sample and the brittleness index, obtaining the brittleness-sensitive elastic parameters comprises: and measuring the longitudinal wave velocity and the transverse wave velocity of the sample by using an MTS acoustic emission detection system, estimating the volume modulus, the shear modulus, the longitudinal and transverse wave velocity ratio, the Young modulus and the Poisson ratio, taking the brittleness index as a color code, and performing cross analysis on the parameters to preferably select the brittleness sensitive elastic parameters.
Based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters, drawing a brittleness identification chart comprises the following steps: based on the directional arrangement and interlamination seams of clay minerals, elastic parameters such as longitudinal wave velocity, transverse wave velocity and the like of shale under different mineral components are predicted by inputting the content, the volume modulus, the shear modulus and the pore aspect ratio of a rock matrix and utilizing a shale anisotropic rock physical model, quartz, calcite and clay are used as end members, different mineral components are used as color codes according to a certain interval to draw the intersection of brittleness-sensitive elastic parameters, and a brittleness identification chart is drawn.
FIG. 3 shows a cross plot of the brittle sensitive elastic parameter of the samples. It can be seen from the figure that the young's modulus and poisson's ratio cross-over identifies the brittleness characteristic of the sample well. Brittle rocks have a higher young's modulus and a lower poisson's ratio. On the basis of the optimization of the sensitive elastic parameters, a brittleness identification chart is drawn based on the shale anisotropic rock physical model, and the brittleness identification chart is shown in fig. 4.
According to the method, the brittleness index is estimated by developing rock physics tests and utilizing experimental data; taking the index as a color code, performing intersection analysis on the elastic parameters tested by the sample, and preferably selecting elastic parameters sensitive to brittleness; predicting the elastic parameters of the shale under different mineral components by utilizing an anisotropic rock physical model applicable to the shale; the quantity plate for brittleness identification is established by taking quartz, calcite and clay as end members and different mineral components according to a certain interval. The method is based on the brittleness index obtained by laboratory test data, the data is more accurate, the relationship between the geophysical parameters and the brittleness index is established on the basis, and the brittleness identification precision is improved.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.
Claims (8)
1. A method for manufacturing a shale brittleness identification chart based on rock physics is characterized by comprising the following steps:
acquiring a brittleness index based on experimental data of a measured sample;
acquiring a brittleness sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index;
drawing a brittleness identification chart based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters;
wherein, based on the logging parameters of the measurement sample and the brittleness index, obtaining the brittleness-sensitive elastic parameters comprises: measuring the longitudinal wave velocity and the transverse wave velocity of the sample by using an MTS acoustic emission detection system, estimating the volume modulus, the shear modulus, the longitudinal and transverse wave velocity ratio, the Young modulus and the Poisson ratio, taking the brittleness index as a color code, and performing cross analysis on the parameters to preferably select a brittleness sensitive elastic parameter;
based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters, drawing a brittleness identification chart comprises the following steps: based on the directional arrangement and interlamination seams of clay minerals, elastic parameters such as longitudinal wave velocity, transverse wave velocity and the like of shale under different mineral components are predicted by inputting the content, the volume modulus, the shear modulus and the pore aspect ratio of a rock matrix and utilizing a shale anisotropic rock physical model, quartz, calcite and clay are used as end members, different mineral components are used as color codes according to a certain interval to draw the intersection of brittleness-sensitive elastic parameters, and a brittleness identification chart is drawn.
2. The method for making a petrophysical-based shale brittleness identification template according to claim 1, wherein the obtaining a brittleness index comprises: and collecting a core sample of a target layer position in a research area, analyzing the content of mineral components in the sample through X-ray diffraction, and calculating the brittleness index through the content of the mineral components.
3. The method for making the shale brittleness identification chart based on petrophysics according to claim 2, wherein the mineral component content of the sample is analyzed through X-ray diffraction, and the brittleness index is obtained through the mineral component content, and the concrete formula is as follows:
B1＝(Vq+Vc)/(Vq+Vc+Vs) (1)
wherein B1 is the brittleness index, VqIs the quartz content, VcIs the content of calcite, VsIs the clay content.
4. The method for making a petrophysical-based shale brittleness identification template according to claim 1, wherein the obtaining a brittleness index comprises: and carrying out triaxial strain stress-strain test on the measured sample to obtain a static Young modulus and a static Poisson ratio, and calculating the brittleness index according to the static Young modulus and the static Poisson ratio.
5. The method for making a shale brittleness identification chart based on petrophysics according to claim 4, wherein the brittleness index is obtained by the specific formula of the static Young's modulus and the static Poisson's ratio as follows:
wherein, Delta E is static Young modulus, Delta upsilon is static Poisson ratio, B2 is brittleness index, E is actually measured static Young modulus, E is measured static Young modulusmaxMaximum Young's modulus, EminMin scoreYoung's modulus, upsilon, is the measured static Poisson ratio, upsilonmaxIs the maximum Poisson ratio, upsilonminIs the minimum poisson's ratio.
6. A system for identifying a plate based on petrophysical shale brittleness, the system comprising: a memory storing computer-executable instructions;
a processor executing computer executable instructions in the memory to perform the steps of:
acquiring a brittleness index based on experimental data of a measured sample;
acquiring a brittleness sensitive elastic parameter based on a logging parameter of a measurement sample and the brittleness index;
drawing a brittleness identification chart based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters;
wherein, based on the logging parameters of the measurement sample and the brittleness index, obtaining the brittleness-sensitive elastic parameters comprises: measuring the longitudinal wave velocity and the transverse wave velocity of the sample by using an MTS acoustic emission detection system, estimating the volume modulus, the shear modulus, the longitudinal and transverse wave velocity ratio, the Young modulus and the Poisson ratio, taking the brittleness index as a color code, and performing cross analysis on the parameters to preferably select a brittleness sensitive elastic parameter;
based on the shale anisotropic rock physical model and the brittleness sensitive elastic parameters, drawing a brittleness identification chart comprises the following steps: based on the directional arrangement and interlamination seams of clay minerals, elastic parameters such as longitudinal wave velocity, transverse wave velocity and the like of shale under different mineral components are predicted by inputting the content, the volume modulus, the shear modulus and the pore aspect ratio of a rock matrix and utilizing a shale anisotropic rock physical model, quartz, calcite and clay are used as end members, different mineral components are used as color codes according to a certain interval to draw the intersection of brittleness-sensitive elastic parameters, and a brittleness identification chart is drawn.
7. The petrophysical-based shale brittleness identification template system of claim 6, wherein said obtaining a brittleness index comprises: collecting a core sample of a target layer position in a research area, analyzing the content of mineral components in the sample through X-ray diffraction, and solving a brittleness index through the content of the mineral components, wherein the concrete formula is as follows:
B1＝(Vq+Vc)/(Vq+Vc+Vs) (1)
wherein B1 is the brittleness index, VqIs the quartz content, VcIs the content of calcite, VsIs the clay content.
8. The petrophysical-based shale brittleness identification template system of claim 6, wherein said obtaining a brittleness index comprises: carrying out triaxial strain stress-strain test on a measured sample to obtain a static Young modulus and a static Poisson ratio, and solving a brittleness index according to the static Young modulus and the static Poisson ratio, wherein the concrete formula is as follows:
wherein, Delta E is static Young modulus, Delta upsilon is static Poisson ratio, B2 is brittleness index, E is actually measured static Young modulus, E is measured static Young modulusmaxMaximum Young's modulus, EminMinimum Young's modulus, upsilon, is the measured static Poisson ratio, upsilonmaxIs the maximum Poisson ratio, upsilonminIs the minimum poisson's ratio.
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