A method for judging carbonate pore types based on scanned images

Abstract

The invention discloses a method for judging the pore type of carbonate rock by scanning images. The method includes: preprocessing the core scanning image of carbonate rock including color conversion to grayscale and improving signal-to-noise ratio, segmenting the preprocessed image to achieve the effect of distinguishing the pore area and the matrix area, and after separating the pores On a regional basis, pore parameters are extracted through key steps including morphological processing, skeleton refinement, and Euclidean distance map, and dissolved pores and fractures are identified. After obtaining sufficient pore parameters, the pore classification coefficient is calculated to determine Core pore types provide insight for subsequent carbonate reservoir development. In addition, the present invention can also obtain important information such as the distribution, development degree and shape characteristics of carbonate core pores in batches, and provides basic parameters for the study of hydrocarbon migration and oil and gas seepage laws.

Description

technical field [0001] The invention relates to the technical field of geological exploration, in particular to a method for judging the pore type of carbonate rock based on scanning images. Background technique [0002] Carbonate rocks are affected by various factors such as lithofacies palaeogeography, sedimentary structure evolution, or later diagenesis, and have more complex reservoir space and oil and gas seepage and migration laws, which lead to the development of carbonate rock reservoirs. The risks and difficulties are high. Therefore, it is particularly important to determine the type of carbonate reservoirs for the correct selection of the development model and development plan of carbonate rocks. [0003] The traditional model for determining the type of carbonate reservoirs focuses on the sedimentary origin and hydrodynamic energy, and usually takes the rock mineral grain skeleton as the main classification basis. This makes the study of oil and gas migration l...

AI Technical Summary

Problems solved by technology

Mercury porosimetry mainly relies on mercury injection saturation to judge pore size distribution, and cannot directly observe the distribution characteristics of various pore types.

The imaging speed of nuclear magnetic method is slow and expensive, and it is difficult to be used for batch core scanning

However, in the research process of carbonate rocks, related technologies related to image processing are mainly used to quantitatively calculate the parameters of pores and cavities, and do not involve the identification of fractures.

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