Shale scanning electron microscope image processing method, device and equipment and storage medium

Abstract

The invention provides a shale scanning electron microscope image processing method and device, electronic equipment and a computer storage medium. The method comprises the steps of obtaining a shalescanning electron microscope image; performing segmentation of a first type of target on the scanning electron microscope image to obtain a first segmentation result; performing segmentation of a second type of target on the scanning electron microscope image to obtain a second segmentation result, wherein the second type of target comprises the first type of target; superposing the first segmentation result on the second segmentation result to obtain a superposed result; and obtaining a classification result of the scanning electron microscope image based on the superposition result.

Description

technical field [0001] The invention relates to the technical field of shale oil and gas exploration and development, in particular to a shale scanning electron microscope image processing method, device, electronic equipment and computer storage medium. Background technique [0002] There are various types of pores in shale reservoirs, which are mainly divided into organic pores and inorganic pores in terms of origin. Shale components are mainly divided into organic matter and inorganic matter according to types. Related to material deposition and diagenesis. Shale microscopic pore characteristics (such as pore type, content, distribution, and size, etc.), organic matter content and distribution are one of the cores of shale reservoir evaluation, and their accurate and quantitative evaluation is very important for shale sweet spot selection, reserve calculation, Efficient development is of great significance. [0003] In related technologies, the core analysis method base...

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Problems solved by technology

[0003] In related technologies, the core analysis method based on experiments cannot distinguish the types of pores; the shale pore analysis method based on nuclear magnetic resonance technology cannot obtain the spatial distribution of pores in shale; The image feature recognition methods are limited, and it is necessary to use artificial experience to identify and classify the high-resolution images collected by the scanning electron microscope; It is likely to lead to serious misjudgment of characteristics such as organic pores and inorganic pores

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