five

Fracture Patterns in Laminated Mancos Shale

收藏
Mendeley Data2024-01-31 更新2024-06-27 收录
下载链接:
https://www.digitalrocksportal.org/projects/205
下载链接
链接失效反馈
官方服务:
资源简介:
Mancos shale samples scanned pre and post-triaxial testing. Triaxial testing at various stress loading paths and confining pressures ranging from 100 to 500 psi. Three types of samples (Perpendicular Bedding- PD_ , Directional Bedding- 45_ , Parallel Bedding- PL_) Videos of fracture network visualization using Fiji/Image-J post-triaxial testing can be found here: https://www.youtube.com/playlist?list=PLv0npDbE5HXvEdptgajRDG3x-lwmtGDbr X-ray power ranging from 16.9 to 30.3 W. Copper filters used with thicknesses varying from 0 to 0.25 mm. Exact voltage and current settings for each scan are listed separately. Scanned at 4 fps (frame per second) with an exposure time of 250 ms to give 2984 projections over 360 degrees. Image type is 16-bit. Image properties for each scan are listed separately. Resolution (both voxel size and spot size) ranging from 65 to 75 microns Device: Nikon XTH-225 Graduate Research Assistants: Matthew Ramos and Jeffery Luo Principal Investigator: Dr. Nicolas Espinoza (https://sites.utexas.edu/eagle/) Facility Location: The University of Texas at Austin

本数据集包含曼科斯页岩(Mancos shale)样品在三轴测试(triaxial testing)前后的扫描数据。测试采用多种应力加载路径,围压范围为100至500磅每平方英寸(psi)。样品共分为三类:垂直层理型(Perpendicular Bedding-PD_)、斜交层理45°型(Directional Bedding-45_)和平行层理型(Parallel Bedding-PL_)。 三轴测试后的裂隙网络可视化视频采用Fiji/Image-J软件制作,可通过以下链接获取:https://www.youtube.com/playlist?list=PLv0npDbE5HXvEdptgajRDG3x-lwmtGDbr X射线(X-ray)功率范围为16.9至30.3瓦(W),使用厚度0至0.25毫米(mm)的铜滤片。每次扫描的精确电压与电流参数将单独列出。 扫描帧率为4帧每秒(frame per second, fps),曝光时间250毫秒(ms),在360°范围内采集2984幅投影图像。图像格式为16位(16-bit)。每次扫描的图像属性将单独列出。分辨率(含体素尺寸(voxel size)与光斑尺寸(spot size))范围为65至75微米(microns)。 扫描设备为尼康XTH-225(Nikon XTH-225)。 研究生研究助理:Matthew Ramos与Jeffery Luo 首席研究员:Nicolas Espinoza博士(https://sites.utexas.edu/eagle/) 设施地点:德克萨斯大学奥斯汀分校(The University of Texas at Austin)
创建时间:
2024-01-31
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作