基于Monte Carlo模拟的三维剖面地质界线不确定性分析

发布时间：2018-03-05 06:39

本文选题：不确定性分析　切入点：Monte　出处：《吉林大学学报(地球科学版)》2017年03期 　论文类型：期刊论文

【摘要】：三维剖面地质界线是构建三维地质结构模型的重要基础数据,其不确定性会影响三维模型的几何形态和属性分布。以单一分布为假设前提的统计学不确定性分析方法掩盖了其他概率分布特征对模型的影响。突破单一误差分布条件的假设前提,本文使用Monte Carlo方法模拟了不同概率分布情况下地质剖面数据中地质界线的抽样采集,以及地质界线空间分布的不确定性;依托地质界线空间位置与地质属性的耦合关系,提出了用地质属性概率分布实现地质界线空间不确定性的定量可视化,并结合实际地质剖面探讨了多种概率分布条件下地质界线的空间不确定性。实例研究表明,基于Monte Carlo模拟的不确定性分析方法可以突破单一误差分布假设条件,结合地质属性概率可充分揭示出建模数据的内在不确定性与模型外在要素形态之间的耦合关系。
[Abstract]:The geological boundary of 3D section is an important basic data for constructing 3D geological structure model. The uncertainty will affect the geometric shape and attribute distribution of the 3D model. The statistical uncertainty analysis method based on the assumption of single distribution masked the influence of other probability distribution characteristics on the model. The hypothetical premise of the condition, In this paper, Monte Carlo method is used to simulate the sampling collection of geological boundary and the uncertainty of spatial distribution of geological boundary in geological profile data under different probability distribution. In this paper, the quantitative visualization of spatial uncertainty of geological boundary by using probability distribution of geological attributes is put forward, and the spatial uncertainty of geological boundary under various probability distribution conditions is discussed in combination with the actual geological profile. The uncertainty analysis method based on Monte Carlo simulation can break through the assumption of single error distribution, and combined with the probability of geological attributes, the coupling relationship between the inherent uncertainty of the modeling data and the shape of the external elements of the model can be fully revealed.
【作者单位】：中山大学地球科学与工程学院;广东省地质过程与矿产资源探查重点实验室;
【基金】：国家自然科学基金项目(41102207,41472300) 中央高校基本科研业务费专项资金项目(12lgpy19) 教育部高等学校博士学科点专项科研基金项目(20100171120001)~~
【分类号】：P628

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