CN109255835B - Method and device for reconstructing shale core scale digital-experimental model - Google Patents
Method and device for reconstructing shale core scale digital-experimental model Download PDFInfo
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Abstract
The embodiment of the invention relates to a method and a device for reconstructing a shale core scale digital-experimental model, which comprises the following steps: acquiring EDS pictures and SEM pictures of the rock sample in the shale vertical direction; extracting two-dimensional pictures of typical internal inorganic holes, organic holes and microcracks from the SEM pictures; reconstructing a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole; reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional picture of the inorganic hole and the microcrack; extracting mineral distribution information in each layer from EDS pictures, and reconstructing a three-dimensional structure of minerals in each layer; stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital cores of the organic hole, the inorganic hole and the microcrack; determining the tortuosity of the inorganic pores according to the permeability in the vertical bedding direction as a constraint; determining the distribution information of the bedding seams according to the distribution information of the minerals of the adjacent layers; determining the tortuosity of the bedding seam according to the permeability along the bedding direction as a constraint; and obtaining the digital-experiment core of the core dimension.
Description
Technical Field
The embodiment of the invention relates to the field of oil exploitation, in particular to a method and a device for reconstructing a shale core scale digital-experimental model.
Background
Different from the conventional reservoir, the shale reservoir has the characteristics of strong heterogeneity, low effective porosity, extremely low permeability, obvious anisotropy and extremely complex pore structure. At present, shale reservoir evaluation still faces many problems, and one of the key difficulties is that the knowledge of pore (seam) structure is not clear. The shale pore (slit) structure has strong non-uniformity, and the pore size distribution, the pore morphology, the kerogen type and abundance, the mineral composition and the distribution thereof of the shale in different blocks and different layers are different. It can also be seen from the scanning electron microscope image that many types of pores and microcracks are distributed in the shale, and the scale of the shale spans six to seven orders of magnitude, and is mainly nano-porous. The pore structure of the shale greatly influences the seepage capacity and the storage capacity of a reservoir, the pore structure of the shale is deeply researched, the fine characterization of a multi-scale pore space is realized, scientific basis can be provided for high-quality reservoir prediction and recoverable evaluation of the shale gas, and the method has very important practical and strategic significance on the exploration and development of the shale gas.
The digital core technology is an important means for representing a three-dimensional structure of a reservoir pore, but the existing digital core modeling technology is mostly focused on constructing a pore (seam) structure with a single scale and cannot completely describe the pore structure with a large size change range. The shale pore (seam) scale spans six to seven orders of magnitude, and the interconnected nano pore throats, micro pores, micro fracture networks and artificial fractures provide migration channels for shale gas, so that in order to effectively evaluate reservoirs, the shale pore (seam) structure needs to be subjected to cross-scale and continuous characterization so as to finely depict a multi-scale pore structure and connectivity thereof. Meanwhile, vertical bedding is obvious, bedding joint development is a typical characteristic of shale samples, and the method is also a root cause of shale permeability anisotropy (the difference between permeability in the vertical direction and permeability in the bedding direction is about ten times). The difference of mineral components of the upper layer and the lower layer of the shale bedding surface is large, and researches show that the development of microscopic pores and structures is directly controlled by minerals, so that the mineral composition has important influence on the gas content and the reservoir physical property of the shale.
Therefore, when the pore (seam) structural characteristics of shale are characterized, the difference between the bedding characteristics and the mineral distribution of each layer needs to be comprehensively considered to characterize the pore (seam) structural characteristics of each layer, however, a cross-scale (nano-micron-cm) digital core modeling scheme suitable for the bedding characteristics of shale is lacked at present to realize the complete characterization of the pore (seam) space.
Disclosure of Invention
The embodiment of the invention provides a method and a device for reconstructing a shale core scale digital-experimental model, which can realize the construction of a cross-scale digital core containing bedding characteristics so as to realize the complete characterization of a pore (gap) space.
In a first aspect, an embodiment of the present invention provides a method for reconstructing a shale core scale digital-experimental model, including:
acquiring EDS pictures and SEM pictures of the rock sample in the shale vertical direction;
extracting two-dimensional pictures of typical laminated internal inorganic holes and organic holes from the SEM pictures;
reconstructing a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole;
reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional picture of the inorganic hole;
extracting distribution information of minerals in each layer from the EDS picture, and reconstructing a three-dimensional structure of the minerals in each layer;
stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital core of the organic hole, the three-dimensional digital core of the inorganic hole and the three-dimensional digital core of the microcrack;
determining the distribution information of the bedding seams according to the distribution information of the minerals of the adjacent layers;
determining the tortuosity of the inorganic pores according to the permeability in the vertical bedding direction as a constraint;
determining the tortuosity of the bedding seam according to the permeability along the bedding direction as a constraint;
and superposing the multi-scale digital rock core and the experimental rock core of each layer according to the distribution information and the tortuosity to obtain the core scale digital-experimental rock core.
In one possible embodiment, the acquiring EDS pictures and SEM pictures of the shale vertical direction of the rock sample includes:
scanning the shale rock sample by using an X-ray energy spectrometer to obtain an EDS picture of the shale vertical direction of the rock sample;
and scanning the shale rock sample by adopting a scanning electron microscope to obtain a shale vertical SEM picture of the rock sample.
In one possible embodiment, the method further comprises:
and measuring the permeability of the shale rock sample along the bedding direction and the vertical bedding direction under different pressures by using a multifunctional pulse attenuation gas permeability experiment, and obtaining the shale pore radius distribution by using a nitrogen adsorption experiment.
In one possible embodiment, reconstructing a three-dimensional digital core of the organic hole by adopting a CSIM-TSS method according to the two-dimensional picture of the organic hole;
and reconstructing the three-dimensional digital core of the inorganic hole and the microcrack by adopting a random analysis method according to the two-dimensional picture of the inorganic hole and the microcrack.
In one possible embodiment, the three-dimensional structure of the internal minerals of each layer is reconstructed using a combination of the CCSIM-TSS method and stochastic analysis methods.
In a second aspect, an embodiment of the present invention provides a device for reconstructing a shale core scale digital-experimental model, including:
the acquisition module is used for acquiring EDS pictures and SEM pictures of the rock sample in the shale vertical direction;
the extraction module is used for extracting two-dimensional pictures of typical internal inorganic pores, microcracks and organic pores from the SEM pictures;
the reconstruction module is used for reconstructing a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole; reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional pictures of the inorganic hole and the microcrack;
the extraction module is further used for extracting distribution information of minerals in each layer from the EDS picture and reconstructing a three-dimensional structure of minerals in each layer;
the stacking module is used for stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital core of the organic hole and the three-dimensional digital core of the inorganic hole and the microcrack;
the determining module is used for determining the distribution information of the bedding seam according to the distribution information of the minerals of the adjacent layer; determining the tortuosity of the bedding seam according to the permeability in the vertical bedding direction as a constraint; determining the tortuosity of the bedding seam according to the permeability along the bedding direction as a constraint;
and the superposition module is also used for superposing the multi-scale digital core and the experimental core of each layer according to the distribution information and the tortuosity to obtain the core scale digital-experimental core.
In a possible implementation manner, the obtaining module is specifically configured to scan a shale rock sample by using an X-ray energy spectrometer, and obtain an EDS picture of the shale vertical direction of the rock sample; and scanning the shale rock sample by adopting a scanning electron microscope to obtain a shale vertical SEM picture of the rock sample.
In a possible embodiment, the determining module is further configured to measure the permeability of the shale rock sample in the bedding direction and the vertical bedding direction at different pressures by using a multifunctional pulse attenuation gas permeability experiment, and obtain the shale pore radius distribution by using a nitrogen adsorption experiment.
In a possible embodiment, the reconstruction module is specifically configured to reconstruct a three-dimensional digital core of the organic hole by using a CSIM-TSS method according to the two-dimensional picture of the organic hole; and reconstructing the three-dimensional digital core of the inorganic hole and the microcrack by adopting a random analysis method according to the two-dimensional picture of the inorganic hole.
In a possible embodiment, the reconstruction module is specifically configured to reconstruct the three-dimensional structure of the mineral substance inside each layer using a combination of the CCSIM-TSS method and the stochastic analysis method.
According to the reconstruction scheme of the shale core scale digital-experimental model provided by the embodiment of the invention, EDS pictures and SEM pictures of the shale vertical direction of a rock sample are obtained; extracting two-dimensional pictures of typical laminated internal inorganic holes and organic holes from the SEM pictures; reconstructing a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole; reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional picture of the inorganic hole; extracting distribution information of minerals in each layer from the EDS picture, and reconstructing a three-dimensional structure of the minerals in each layer; stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital core of the organic hole, the three-dimensional digital core of the inorganic hole and the three-dimensional digital core of the microcrack; determining the distribution information of the bedding seams according to the distribution information of the minerals of the adjacent layers; determining the tortuosity of the bedding seam according to the permeability relieved along the bedding as a constraint; superposing the multi-scale digital rock core and the experimental rock core of each layer according to the distribution information and the tortuosity to obtain a digital-experimental rock core of rock core scale; the construction of a cross-scale digital core containing bedding features can be achieved to achieve a complete characterization of the pore (slot) space.
Drawings
Fig. 1 is a schematic flow chart of a method for reconstructing a shale core scale digital-experimental model according to an embodiment of the present invention;
FIG. 2 is an EDS picture and an SEM picture obtained from a rock sample according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a three-dimensional digital core reconstructing an organic borehole according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of an extraction inorganic pore according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of the reconstruction of the three-dimensional structure of the mineral within each layer according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a multi-scale digital core for each layer obtained by stacking according to an embodiment of the invention;
FIG. 7 is a schematic diagram of a bedding seam construction of a multi-scale digital core reconstruction result in each layer according to an embodiment of the invention;
fig. 8 is a schematic structural diagram of a reconstruction apparatus of a shale core scale digital-experimental model according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
For the convenience of understanding of the embodiments of the present invention, the following description will be further explained with reference to specific embodiments, which are not to be construed as limiting the embodiments of the present invention.
Fig. 1 is a schematic flow chart of a method for reconstructing a shale core scale digital-experimental model according to an embodiment of the present invention, and as shown in fig. 1, the method specifically includes:
s101, obtaining an EDS picture and an SEM picture of the vertical direction of the shale of the rock sample.
Specifically, an X-ray energy spectrometer is adopted to scan a shale rock sample, and an EDS picture of the shale vertical direction of the rock sample is obtained; and scanning the shale rock sample by adopting a scanning electron microscope to obtain a shale vertical SEM picture of the rock sample.
In which EDS pictures and SEM pictures obtained from a rock sample according to the present embodiment are shown with reference to fig. 2. The SEM pictures are used for representing inorganic pores and organic pores in the demonstration sample, and the SEM pictures can also be understood as being obtained by sampling from a rock sample; EDS pictures are used to characterize the mineral distribution information within each layer, where a single SEM picture corresponds to an EDS picture of a layer.
As an alternative of this embodiment, the method further includes: and measuring the permeability of the shale rock sample along the bedding direction and the vertical bedding direction under different pressures by using a multifunctional pulse attenuation gas permeability experiment, and obtaining the shale pore radius distribution by using a nitrogen adsorption experiment.
And S102, extracting two-dimensional pictures of typical internal inorganic pores, microcracks and organic pores from the SEM pictures.
S103, reconstructing the three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole.
Referring to fig. 3, a schematic diagram of reconstructing a three-dimensional digital core of an organic hole according to an embodiment of the present invention is shown, and specifically, a CSIM-TSS method is adopted to reconstruct the three-dimensional digital core of the organic hole according to a two-dimensional picture of the organic hole.
S104, reconstructing the three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional picture of the inorganic hole and the microcrack.
Referring to fig. 4, a schematic diagram of extracting an inorganic pore according to an embodiment of the present invention is shown, specifically, a three-dimensional digital core of the inorganic pore is reconstructed by using a random analysis method according to a two-dimensional image of the inorganic pore.
In this step, the EDS picture and the SEM picture are combined to extract the distribution characteristics of the inorganic pores in each inorganic mineral (as shown in fig. 4), and then the three-dimensional digital core of the inorganic pores in each inorganic mineral is reconstructed. The size of each inorganic pore three-dimensional digital core is 1000 × 1000um3The resolution was 20 nm.
And S105, extracting distribution information of minerals in each layer from the EDS picture, and reconstructing a three-dimensional structure of minerals in each layer.
Referring to fig. 5, a schematic diagram of reconstructing the three-dimensional structure of the internal mineral of each layer according to an embodiment of the present invention is shown, and the three-dimensional structure of the internal mineral of each layer is reconstructed by combining the CCSIM-TSS method and the stochastic analysis method.
And S106, stacking according to the three-dimensional structure of each layer of mineral, the three-dimensional digital core of the organic hole and the three-dimensional digital core of the inorganic hole and the microcrack to obtain the multi-scale digital core of each layer.
Specifically, referring to the figure, a schematic diagram of obtaining a multi-scale digital core of each layer by stacking according to an embodiment of the present invention is shown, and a three-dimensional digital core of each layer, including each mineral component, organic pores, inorganic pores, and microcracks, is stacked by using an improved multi-scale stacking algorithm to obtain a multi-scale digital core of each layer.
The distribution information of typical minerals of the minerals is extracted from each layer of the EDS picture, and minerals with the content of more than 5 percent, namely quartz, illite, pyrite, dolomite, ankerite, austemper and organic matters are extracted in the example, as shown in figure 4. Then, three-dimensional digital cores of each mineral are reconstructed by using a CCSIM-TSS method and a random analysis method, and the size of each core is 1000 x 1000um3The resolution is 1 um.
And S107, determining the tortuosity of the inorganic pores by taking the permeability in the vertical bedding direction as a constraint.
And S108, determining distribution information of the bedding seams according to the distribution information of the minerals of the adjacent layers.
And S109, determining the tortuosity of the bedding seam by taking the permeability along the bedding direction as a constraint.
And S110, overlapping the multi-scale digital core and the experimental core of each layer according to the distribution information and the tortuosity to obtain the core scale digital-experimental core.
Specifically, according to the distribution characteristics of minerals of two adjacent layers, if the bedding joint is only generated at the interface of different minerals, the bedding joint is generated at the place where the minerals of the upper layer and the lower layer are different. Following the above criteria, we can obtain a bedding gap distribution, as shown in FIG. 7.
According to the method for reconstructing the shale core scale digital-experimental model, EDS pictures and SEM pictures of the shale vertical direction of a rock sample are obtained; extracting two-dimensional pictures of typical laminated internal inorganic holes and organic holes from the SEM pictures; reconstructing a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole; reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional picture of the inorganic hole; extracting distribution information of minerals in each layer from the EDS picture, and reconstructing a three-dimensional structure of the minerals in each layer; stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital core of the organic hole, the three-dimensional digital core of the inorganic hole and the three-dimensional digital core of the microcrack; and determining the tortuosity of the inorganic pores by taking the permeability in the vertical bedding direction as a constraint. Determining the distribution information of the bedding seams according to the distribution information of the minerals of the adjacent layers; determining the tortuosity of the bedding seam according to the permeability along the bedding direction as a constraint; superposing the multi-scale digital rock core and the experimental rock core of each layer according to the distribution information and the tortuosity to obtain a digital-experimental rock core of rock core scale; the construction of a cross-scale digital core containing bedding features can be achieved to achieve a complete characterization of the pore (slot) space.
Fig. 8 is a schematic structural diagram of a device for reconstructing a shale core scale digital-experimental model according to an embodiment of the present invention, and as shown in fig. 8, the device specifically includes:
the acquisition module 801 is used for acquiring EDS (electronic data system) images and SEM (scanning electron microscope) images of shale vertical directions of the rock sample;
an extraction module 802, configured to extract a two-dimensional image of typical internal inorganic pores, microcracks, and organic pores from the SEM image;
a reconstructing module 803, configured to reconstruct a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole; reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional pictures of the inorganic hole and the microcrack;
the extraction module 802 is further configured to extract distribution information of minerals inside each layer from the EDS picture, and reconstruct a three-dimensional structure of minerals inside each layer;
the stacking module 804 is used for stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital core of the organic hole and the three-dimensional digital core of the inorganic hole and the microcrack;
a determining module 805, configured to determine distribution information of a bedding seam according to distribution information of minerals in adjacent layers; determining the tortuosity of the bedding seam according to the permeability in the vertical bedding direction as a constraint; determining the tortuosity of the bedding seam according to the permeability along the bedding direction as a constraint;
the stacking module 804 is further configured to stack the multi-scale digital core and the experimental core of each layer according to the distribution information and the tortuosity, so as to obtain a core-scale digital-experimental core.
Optionally, the obtaining module 801 is specifically configured to scan a shale rock sample by using an X-ray energy spectrometer, and obtain an EDS picture of the shale vertical direction of the rock sample; and scanning the shale rock sample by adopting a scanning electron microscope to obtain a shale vertical SEM picture of the rock sample.
Optionally, the determining module 805 is further configured to measure the permeability of the shale rock sample in the bedding direction and the vertical bedding direction at different pressures by using a multifunctional pulse attenuation gas permeability experiment, and obtain the shale pore radius distribution by using a nitrogen adsorption experiment.
Optionally, the reconstructing module 803 is specifically configured to reconstruct a three-dimensional digital core of the organic hole by using a CSIM-TSS method according to the two-dimensional picture of the organic hole; and reconstructing the three-dimensional digital core of the inorganic hole and the microcrack by adopting a random analysis method according to the two-dimensional picture of the inorganic hole.
Optionally, the reconstructing module 803 is specifically configured to reconstruct a three-dimensional structure of the internal minerals of each layer by using a combination of a CCSIM-TSS method and a stochastic analysis method.
According to the reconstruction scheme of the shale core scale digital-experimental model provided by the embodiment of the invention, EDS pictures and SEM pictures of the shale vertical direction of a rock sample are obtained; extracting two-dimensional pictures of typical laminated internal inorganic holes and organic holes from the SEM pictures; reconstructing a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole; reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional picture of the inorganic hole; extracting distribution information of minerals in each layer from the EDS picture, and reconstructing a three-dimensional structure of the minerals in each layer; stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital core of the organic hole, the three-dimensional digital core of the inorganic hole and the three-dimensional digital core of the microcrack; determining the distribution information of the bedding seams according to the distribution information of the minerals of the adjacent layers; determining the tortuosity of the bedding seam according to the permeability relieved along the bedding as a constraint; superposing the multi-scale digital rock core and the experimental rock core of each layer according to the distribution information and the tortuosity to obtain a digital-experimental rock core of rock core scale; the construction of a cross-scale digital core containing bedding features can be achieved to achieve a complete characterization of the pore (slot) space.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A reconstruction method of a shale core scale digital-experiment model is characterized by comprising the following steps:
acquiring EDS pictures and SEM pictures of the rock sample in the shale vertical direction;
extracting two-dimensional pictures of typical internal inorganic pores, microcracks and organic pores from the SEM pictures;
reconstructing a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole;
reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional pictures of the inorganic hole and the microcrack;
extracting distribution information of minerals in each layer from the EDS picture, and reconstructing a three-dimensional structure of the minerals in each layer;
stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital core of the organic hole, the three-dimensional digital core of the inorganic hole and the three-dimensional digital core of the microcrack;
determining the distribution information of the bedding seams according to the distribution information of the minerals of the adjacent layers;
determining the tortuosity of the inorganic pores according to the permeability in the vertical bedding direction as a constraint;
determining the tortuosity of the bedding seam according to the permeability along the bedding direction as a constraint;
and superposing the multi-scale digital rock core and the experimental rock core of each layer according to the distribution information and the tortuosity to obtain the core scale digital-experimental rock core.
2. The method of claim 1, wherein the obtaining of EDS and SEM pictures of shale vertical direction of the rock sample comprises:
scanning the shale rock sample by using an X-ray energy spectrometer to obtain an EDS picture of the shale vertical direction of the rock sample;
and scanning the shale rock sample by adopting a scanning electron microscope to obtain a shale vertical SEM picture of the rock sample.
3. The method of claim 1, further comprising:
and measuring the permeability of the shale rock sample along the bedding direction and the vertical bedding direction under different pressures by using a multifunctional pulse attenuation gas permeability experiment, and obtaining the shale pore radius distribution by using a nitrogen adsorption experiment.
4. The method according to claim 1, characterized in that a three-dimensional digital core of the organic hole is reconstructed from the two-dimensional picture of the organic hole by using a CSIM-TSS method;
and reconstructing the three-dimensional digital core of the inorganic hole and the microcrack by adopting a random analysis method according to the two-dimensional picture of the inorganic hole and the microcrack.
5. The method of claim 1, wherein the three-dimensional structure of the mineral within each layer is reconstructed using a combination of the CCSIM-TSS method and stochastic analysis.
6. The utility model provides a shale rock core yardstick digit-experimental model's reconsitution device which characterized in that includes:
the acquisition module is used for acquiring EDS pictures and SEM pictures of the rock sample in the shale vertical direction;
the extraction module is used for extracting two-dimensional pictures of typical internal inorganic pores, microcracks and organic pores from the SEM pictures;
the reconstruction module is used for reconstructing a three-dimensional digital core of the organic hole according to the two-dimensional picture of the organic hole; reconstructing a three-dimensional digital core of the inorganic hole and the microcrack according to the two-dimensional pictures of the inorganic hole and the microcrack;
the extraction module is further used for extracting distribution information of minerals in each layer from the EDS picture and reconstructing a three-dimensional structure of minerals in each layer;
the stacking module is used for stacking to obtain a multi-scale digital core of each layer according to the three-dimensional structure of each layer of mineral substance, the three-dimensional digital core of the organic hole and the three-dimensional digital core of the inorganic hole and the microcrack;
the determining module is used for determining the distribution information of the bedding seam according to the distribution information of the minerals of the adjacent layer; determining the tortuosity of the bedding seam according to the permeability in the vertical bedding direction as a constraint; determining the tortuosity of the bedding seam according to the permeability along the bedding direction as a constraint;
and the superposition module is also used for superposing the multi-scale digital core and the experimental core of each layer according to the distribution information and the tortuosity to obtain the core scale digital-experimental core.
7. The apparatus according to claim 6, wherein the obtaining module is specifically configured to scan a shale rock sample with an X-ray energy spectrometer to obtain a shale vertical EDS picture of the rock sample; and scanning the shale rock sample by adopting a scanning electron microscope to obtain a shale vertical SEM picture of the rock sample.
8. The apparatus of claim 6, wherein the determining module is further configured to measure permeability of the shale rock sample in a bedding direction and a vertical bedding direction at different pressures using a multifunctional pulse attenuation gas permeability experiment, and obtain the shale pore radius distribution using a nitrogen adsorption experiment.
9. The device according to claim 6, wherein the reconstruction module is specifically configured to reconstruct a three-dimensional digital core of the organic hole by using a CSIM-TSS method according to the two-dimensional picture of the organic hole;
and reconstructing the three-dimensional digital core of the inorganic hole and the microcrack by adopting a random analysis method according to the two-dimensional picture of the inorganic hole and the microcrack.
10. The device according to claim 6, characterized in that said reconstruction module is particularly adapted to reconstruct the three-dimensional structure of the mineral inside each layer using a combination of the CCSIM-TSS method and the stochastic analysis method.
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| CN102222359B (en) * | 2011-05-24 | 2012-09-26 | 中国石油天然气股份有限公司 | Method for remodeling three-dimensional pore structure of core |
| US20150062300A1 (en) * | 2013-08-30 | 2015-03-05 | Halliburton Energy Services, Inc. | Wormhole Structure Digital Characterization and Stimulation |
| CN103616494A (en) * | 2013-11-28 | 2014-03-05 | 中国石油天然气集团公司 | Method and system for simulating pore space fluid distribution of core |
| CN104331579A (en) * | 2014-11-19 | 2015-02-04 | 中国石油大学(华东) | Simulation method of low-permeability reservoir crude oil boundary layer |
| CN104573198B (en) * | 2014-12-23 | 2017-08-15 | 长江大学 | Based on the theoretical digital cores of random fractal and pore network model reconstructing method |
| CN106324002A (en) * | 2016-10-18 | 2017-01-11 | 中国石油大学(华东) | Carbonatite pore structure characterization method based on rock classification and multi-scale digital cores |
| CN107449707B (en) * | 2017-07-03 | 2020-01-07 | 中国石油天然气股份有限公司 | Three-dimensional characterization determination method and device for quantification of pores with different scales in shale reservoir |
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