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A method for quantitative characterization and parameter acquisition of storage and permeability space in shale oil reservoirs
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A technology for quantitative characterization and parameter acquisition, applied in permeability/surface area analysis, measurement devices, surface/boundary effects, etc., to achieve strong representativeness and process controllable effects
Active Publication Date: 2022-07-22
CHINA PETROLEUM & CHEM CORP +1
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[0005] The purpose of the present invention is to overcome the problems existing in the characterization of the microscopic pore structure of shale reservoirs, generate a more representative porous media model, and provide a method for quantitative characterization and parameter acquisition of shale oil reservoir storage and seepage space
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Embodiment 1
[0042] A method for quantitative characterization and parameter acquisition of storage and permeability space in shale oil reservoirs, such as figure 1 shown, including the following steps,
[0043] S1, acquiring image information of the real core of the shale reservoir in the target area, and processing it to obtain numerical information; processing the numerical information to obtain statistical characteristics of the microscopic pore structure of the storage-permeability space.
[0044] In this embodiment, the image information is acquired by the scanning electron microscope imaging method to obtain the SEM image of the target core. After the SEM image of the target core is obtained, the image information is processed numerically to obtain numerical information, that is, the maximum inter-class error method is used to binarize the image information of the real core to obtain numerical information.
[0045] The maximum inter-class error method is to divide the image into tw...
specific Embodiment approach
[0073] This embodiment selects the core of the shale oil reservoir of the Middle and Lower Jurassic in northern Sichuan to provide a specific embodiment of the method for quantitatively characterizing the storage and permeability space of the shale oil reservoir and obtaining parameters, including the following steps:
[0074] (1) Select the shale core in the target area and interval, scan it with a scanning electron microscope and obtain the required image.
[0075] (2) Using MATLAB software, the maximum inter-class variance method is used to numerically process the SEM image of the core to obtain statistical characteristics, that is, the distribution characteristics of pore structure and pore morphology, as follows: Figure 4 results shown.
[0076] (3) It is determined that the number of three-dimensional grids to be generated for the porous medium model is 200×200×200, the resolution is 25 nm / pixel, and the porosity is 11%. Based on the four-parameter random growth model,...
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Abstract
The invention discloses a method for quantitatively characterizing the storage and permeability space of a shale oil reservoir and obtaining parameters. The present invention includes the following steps: S1, acquiring the image information of the real core of the shale reservoir in the target area, and processing to obtain the statistical characteristics of the microscopic pore structure of the storage and permeability space; S2, based on the statistical characteristics, multi-level constraints generate porous medium model; S3, obtain characteristic parameters of the porous medium model, the characteristic parameters include pore connectivity, pore size, pore morphology and porosity; S4, perform fluid flow simulation in the porous medium model to obtain the fluid flow in the porous medium Apparent permeability for model seepage. It has the technical effect of obtaining a more representative and finer porous media model.
Description
technical field [0001] The invention relates to the field of oil and gas development, in particular to a method for quantitatively characterizing the storage and permeability space of a shale oil reservoir and obtaining parameters. Background technique [0002] Shale reservoirs are characterized by ultra-low porosity, low permeability, and strong heterogeneity. The micro- and nano-scale pores are the main space for oil and gas storage and seepage. Therefore, the microscopic pore structure and fluid migration characteristic parameters of the storage and seepage space are obtained. The basis for carrying out reservoir evaluation. [0003] The traditional core experiment method cannot realize the visual characterization of the pore microstructure, nor can it obtain the fluid dynamic seepage process. In recent years, nano-CT scanning, FIB-SEM and other technologies can directly obtain internal pore structure images of shale cores. However, due to the strong heterogeneity of res...
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