聚类方法与地质断裂分析的传统方法的比较:伊朗北部希拉兹的一个案例研究
Hajar Kazemi1,2, Kouros Yazdjerdi2, Abdolmajid Asadi2
1Islamic Azad University, Department of Geology, Fars Science and Research Branch, 74399-58353 Fars, Iran.
Anais da Academia Brasileira de Ciencias
|July 16, 2025
概括
先进的集群方法,结合k-means和遗传算法,改善了伊朗的地质断裂分析. 这种方法提高了复杂的反斜结构中的关节和断层的准确性.
科学领域:
- 地质地质地质地质地质地
- 数据科学数据科学数据科学
- 结构地质学 结构地质学
背景情况:
- 地质断裂分析对于理解地下结构至关重要.
- 传统方法在复杂的地质环境中可能会受到限制,比如抗线.
- 扎格罗斯地区呈现出独特的结构复杂性,影响断裂模式.
研究的目的:
- 通过先进的集群,提高地质断层分类的准确性.
- 整合k-means和遗传算法用于集群关节和断层.
- 将这些方法应用于扎格罗斯地区的巴巴科希抗线.
主要方法:
- 实地调查和图书馆研究.
- 数字海拔模型和卫星图像分析.
- 整合k-means和基因算法用于骨折聚类.
主要成果:
- 确定了两个主要的骨折趋势:N20E (与反斜轴平行) 和N80W (垂直).
- 检测到剪切拉伸关节,表明局部断层的影响.
- 与传统方法相比,证明了较好的集群精度.
结论:
- 结合k-means和遗传算法方法显著提高了骨折分类.
- 这种先进的技术减少了复杂的地质环境中的错误.
- 这些发现为石油工业和理解断裂系统提供了宝贵的见解.
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