相关实验视频

Updated: May 16, 2025

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
12:18

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography

Published on: October 21, 2018

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在基于深度学习理论的页岩扫描电子显微镜图像中智能识别微观物质的研究

Ruigang Zhang1,2,3, Xiangru Chen4, Xin Tang5

  • 1Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education (China University of Mining and Technology), Xuzhou, 221008, China.

Scientific reports
|April 6, 2025
PubMed
概括

这项研究引入了一种改进的深度学习模型,用于智能识别微观物质,在扫描电子显微镜上扫描页岩的图像. 人工智能模型通过自动化图像分析来提高页岩水库评估的效率和准确性.

关键词:
深度学习是一种深度学习.对象检测检测对象检测对象检测储水库评价 储水库评价这就是SEM SEM.页岩 页岩是一种页岩.

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相关概念视频

Scanning Electron Microscopy01:07

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
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