高属地质物体的自动建模使用改进的EdgeConnect和深度插入和播放超分辨率GAN
Bingyu Ren1, Yuan Zuo2, Shuyang Han2
1State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin, China. renby@tju.edu.cn.
Scientific reports
|November 29, 2025
概括
本研究引入了一种用于高品种地质建模的自动化方法,提高了插值准确度并降低了模型复杂度. 新方法通过创建更高效,更精确的地质模型来增强工程地质分析.
科学领域:
- 地质地质地质地质地质地
- 地质技术工程 地质技术工程
- 计算机科学 计算机科学
背景情况:
- 构建精确的地质模型对于工程至关重要.
- 目前的方法,如层级介面和voxel模型,在复杂性和冗余性方面存在局限性.
- 现有的插值技术可以是主观的或计算密集的.
研究的目的:
- 为高属地质物体开发自动建模方法.
- 提高地质模型构建的准确性和效率.
- 为了解决与voxel模型相关的冗余问题.
主要方法:
- 将钻井数据转换为voxel图像以进行插值.
- 使用图像补充 (EdgeConnect与双边过和Otsu方法) 和超分辨率 (DPSRGAN与RRDB和U-Net).
- 开发了一个voxel模型简化方法来创建地质网格模型.
主要成果:
- 实现了 88.4% 的插值准确度.
- 减少了91.7%的模型网格表面.
- 与手动方法相比,Kriging,NURBS,RBF和DCGAN在准确度方面表现出色,并将建模时间减少了93.8%.
结论:
- 拟议的自动化方法显著提高了地质模型的准确性和效率.
- 该技术有效地将复杂的voxel模型简化为精确的网状模型.
- 这种方法为工程地质分析提供了一种优越的替代方案.
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