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多分辨率的X射线微型计算机断层扫描图像来自巴西前盐的碳酸盐岩石

Alyne Duarte Vidal¹, Aurea Pereira Martins Neta², Júlio de Castro Vargas Fernandes²

¹COPPE - Federal University of Rio de Janeiro, mailbox 68506, Rio de Janeiro, 21941-972, Rio de Janeiro, Brazil. alyne.vidal@coppe.ufrj.br.

Scientific data

|December 18, 2024

概括

巴西前盐岩石的新开放数据集有助于人工智能 (AI) 在地球科学中. 本资源支持用于数字岩石物理的AI模型开发,增强孔-矩阵细分和属性预测.

科学领域:

地球科学地球科学地球科学
数字岩石物理数字岩石物理
人工智能应用程序人工智能应用程序

背景情况:

人工智能 (AI) 的进步是由开放数据集推动的.
在地球科学中,开放数据很少,这阻碍了数字岩石物理的AI开发.
这限制了用于岩石样本分析的AI模型的创建和评估.

研究的目的:

介绍来自巴西前盐地区的岩石样本的全新,全面的数据集.
解决数字岩石物理中的开放数据稀缺问题.
促进AI模型的开发和基准测试用于岩石表征.

主要方法:

从巴西前盐地区收集了16个岩石样本.
在低 (4864m) 和高 (68m) 分辨率下获得的微型计算机断层扫描 (μ-CT) 图像.
将图像分成孔隙和矩阵,并获得了实验室的孔隙性和透性值.

主要成果:

现在可以获得一个包含16个岩石样本,双分辨率μ-CT图像和细分孔状矩阵数据的数据集.
包括与图像数据相关联的孔隙性和透性测量.
为人工智能驱动的超分辨率和细分模型提供了一个基准.

结论:

引入的数据集显著弥合了数字岩石物理学的开放数据差距.
从μ-CT数据中开发高级AI模型,用于超分辨率,细分和属性预测.
促进人工智能在地球科学和石油工程领域的进一步研究和应用.

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X-ray Imaging

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...