吉林大学学报(地球科学版) ›› 2019, Vol. 49 ›› Issue (5): 1496-1506.doi: 10.13278/j.cnki.jjuese.20180207
• 地球探测与信息技术 • 上一篇
郑天成1,2, 侯卫生1,2, 何思彤1,2
Zheng Tiancheng1,2, Hou Weisheng1,2, He Sitong1,2
摘要: 利用三维地质模拟技术重构地质现象的三维空间分布,是实现自然资源管理和风险评估的重要基础和前提。多点统计学方法通过探寻多点间的空间结构关系,结合随机模拟方法生成具有差异性的模拟结果,较好地再现了复杂的地质现象。然而,如何构建合适、有效的训练图像一直是基于多点统计学三维地质模拟的核心问题。本文提出了一种改进的多点统计学算法。本方法结合了序贯模拟和迭代的方法,将二维剖面扩展为三维训练图像,再结合EM-Like算法,实现了三维地质结构的优化模拟。建模实例结果表明,本方法能确保训练图像对内部模拟网格的约束,准确模拟研究区的地层层序,并很好地再现二维地质剖面所反映的地层结构关系。
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