Quantitative characterization and parameter acquisition method for reservoir and seepage space of shale oil reservoir

A technology for quantitative characterization and parameter acquisition, applied in permeability/surface area analysis, measurement devices, surface/boundary effects, etc., to achieve process controllable and representative effects
CN114428040AActive Publication Date: 2022-05-03CHINA PETROLEUM & CHEM CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA PETROLEUM & CHEM CORP
Publication Date
2022-05-03

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Abstract

The invention discloses a shale oil reservoir reservoir seepage space quantitative characterization and parameter acquisition method. The method comprises the following steps: S1, acquiring image information of a real rock core of a shale reservoir in a target area, and processing the image information to obtain statistical characteristics of a micro-pore structure of a reservoir-seepage space; s2, generating a porous medium model based on the statistical characteristics and multi-level constraints; s3, obtaining characteristic parameters of the porous medium model, wherein the characteristic parameters comprise pore connectivity, pore size, pore morphology and porosity; and S4, performing fluid flow simulation in the porous medium model to obtain the apparent permeability of the fluid in the seepage of the porous medium model. The method has the technical effect that the porous medium model with higher representativeness and finer performance can be obtained.
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Description

technical field

[0001] The invention relates to the field of oil and gas development, in particular to a quantitative characterization and parameter acquisition method for storage and seepage space of shale oil reservoirs. Background technique

[0002] Shale reservoirs are characterized by ultra-low porosity, low permeability, and strong heterogeneity. The micro-nano 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-seepage space are obtained. The basis for carrying out reservoir evaluation.

[0003] The traditional core experiment method cannot realize the visual representation of the pore microstructure, nor can it obtain the fluid dynamic seepage process. Nano-CT scanning, FIB-SEM and other technologies emerging in recent years can directly obtain images of the internal pore structure of shale cores, but due to factors such as strong reservoir heterogeneity,...

Claims

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