Device and method for determining multiscale porous characteristics of carbonatite

Abstract

An embodiment of the invention provides a device and a method for determining multiscale porous characteristics of carbonatite. The method includes: acquiring a first scanning image by subjecting a carbonatite sample with the diameter larger than a full diameter to millimeter CT (computed tomography) scanning; taking a portion with micron-diameter voids or pores densely distributed from the carbonatite sample as a first plunger sample, and subjecting the first plunger sample to millimeter CT scanning to obtain a second scanning image; taking a portion with nano-diameter voids or pores densely distributed from the first plunger sample as a second plunger sample, and subjecting the second plunger sample to millimeter CT scanning to obtain a third scanning image; determining porosity of the carbonatite sample and distribution modes of the voids and pores in different diameters on the carbonatite sample according to the first scanning image, the second scanning image and the third scanning image after binaryzation. By adoption of the scheme, quantitative, precision and reliable analysis on the multiscale porous characteristics of the carbonatite can be realized.

Description

technical field [0001] The invention relates to the technical field of carbonatite reservoir microstructure research, in particular to a method and device for determining multi-scale pore characteristics of carbonatite. Background technique [0002] Practice has shown that the pores and fractures of carbonate reservoirs have multi-scale characteristics. The large caves can be several centimeters or even larger, and the small pores can be several microns or even smaller, showing strong heterogeneity. sex. At present, there are few research methods and knowledge on the microstructure characteristics of pores, caves and fractures in carbonate rock reservoirs. Conventional casting thin sections, scanning electron microscopy and mercury intrusion are mainly used. However, these methods have some defects. , making it impossible to quantitatively and finely analyze the microstructure of pores, caves and fractures in carbonate rock reservoirs reliably. [0003] For example, micros...

AI Technical Summary

Problems solved by technology

[0004] 1) Calculating the porosity of the reservoir by using the casting thin section image requires professional and technical personnel to interpret it, which is highly dependent on the technical level and experience of the operator, and the difference in the thickness and flatness of the casting thin section will directly affect the quality of the identification result ; In actual work, due to differences in operators, camera parameter settings, etc., the analysis results may vary;

[0005] 2) The recognition image represents two-dimensional local pores, and the representation is poor

[0008] 1) During the mercury intrusion experiment, the mercury used is poisonous and will cause harm to the human body and the environment;

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