Pore and crack identification method and system based on two-dimensional core scanning image

Abstract

The invention belongs to the technical field of oil and gas reservoir geological exploration, particularly relates to a pore and crack identification method and system based on a two-dimensional core scanning image, and aims to solve the problems that pores and cracks cannot be accurately and efficiently segmented and the characteristics of the pores and the cracks cannot be quantitatively analyzed in the prior art. The method comprises the following steps: scanning to obtain an initial rock core plane two-dimensional image, and filtering the initial rock core plane two-dimensional image to obtain a first rock core plane two-dimensional image; carrying out image segmentation to obtain a second rock core plane two-dimensional image; extracting the center coordinates of all pixel points of each pore space, obtaining the centroid of the corresponding pore space, and establishing a pore seam recognition function; if the numerical value of the aperture recognition function is greater than a preset characterization value, determining that the aperture space is a crack; otherwise, determining that the pore space is a pore; accurate pore and crack distribution information can be obtained, and effective guidance is provided for reservoir oil and gas exploitation.

Description

technical field [0001] The invention belongs to the technical field of geological exploration of oil and gas reservoirs, and in particular relates to a method and system for identifying pores and fractures based on two-dimensional core scanning images. Background technique [0002] The space in the reservoir rock that is not filled by mineral particles, cement or other solid substances is called the pore space of the rock; the pore space includes pores and fractures, etc., and the pores refer to the inter-granular and intra-granular fillers in the rock. Voids; cracks are various cracks formed during rock diagenesis, or under the action of various tectonic stresses to break rocks. [0003] The microscopic pore space of reservoir rocks, including the characteristics of pores and fractures (size, geometry, distribution and interconnection), directly reflects the seepage capacity of the reservoir, and can provide an important basis for reservoir evaluation. The characteristics ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem that the existing technology cannot accurately and efficiently segment pores and fractures, and cannot perform quantitative analysis on the characteristics of pores and fractures, the present invention provides a two-dimensional core scanning image based Pore ​​and fracture identification method and system

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