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Improving the accuracy of three-dimensional geologic subsurface models.

机译:提高三维地质地下模型的准确性。

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摘要

This study investigates ways to improve the accuracy of 3D geologic models by assessing the impact of data quality, grid complexity, data quantity and distribution, interpolation algorithm and program selection on model accuracy. The first component of this research examines the impact of variable quality data on 3D model outputs and presents a new methodology to optimize the impact of high quality data, while minimizing the impact of low quality data on the model results. This 'Quality Weighted' modelling approach greatly improves model accuracy when compared with un-weighted models.;The second component of the research assesses the variability and influence of data quantity, data distribution, algorithm selection, and program selection on the accuracy of3D geologic models. A series of synthetic grids representing environments of varying complexity were created from which data subsets were extracted using specially developed MATLAB scripts. The modelled data were compared back to the actual synthetic values and statistical tests were conducted to quantify the impact of each variable on the accuracy of the model predictions. The results indicate that grid complexity is the predominant control on model accuracy, more data do not necessarily produce more accurate models, and data distribution is particularly important when relatively simple environments are modelled. A major finding of this study is that in some situations, the software program selected for modelling can have a greater influence on model accuracy than the algorithm used for interpolation. When modelling spatial data there is always a high level of uncertainty, especially in subsurface environments where the unit(s) of interest are defined by data only available in select locations. The research presented in this thesis can be used to guide the selection of modelling parameters used in 3D subsurface investigations and will allow the more effective and efficient creation of accurate 3D models.
机译:本研究通过评估数据质量,网格复杂性,数据量和分布,插值算法和程序选择对模型准确性的影响,研究了提高3D地质模型准确性的方法。这项研究的第一部分研究了可变质量数据对3D模型输出的影响,并提出了一种新的方法来优化高质量数据的影响,同时最大程度地降低低质量数据对模型结果的影响。与未加权模型相比,这种“质量加权”建模方法极大地提高了模型准确性。研究的第二部分评估了数据量,数据分布,算法选择和程序选择对3D地质模型准确性的可变性和影响。 。创建了一系列代表不同复杂性环境的合成网格,并使用专门开发的MATLAB脚本从中提取了数据子集。将建模数据与实际的合成值进行比较,并进行统计测试以量化每个变量对模型预测准确性的影响。结果表明,网格复杂度是模型精度的主要控制因素,更多的数据不一定会生成更准确的模型,并且在对相对简单的环境进行建模时,数据分配尤其重要。这项研究的主要发现是,在某些情况下,与用于插值的算法相比,用于建模的软件程序对模型准确性的影响更大。在对空间数据进行建模时,总是存在很高的不确定性,尤其是在地下环境中,感兴趣的单元由仅在选定位置可用的数据定义。本文提出的研究可用于指导3D地下研究中使用的建模参数的选择,并将允许更有效,更有效地创建准确的3D模型。

著录项

  • 作者

    MacCormack, Kelsey Elaine.;

  • 作者单位

    McMaster University (Canada).;

  • 授予单位 McMaster University (Canada).;
  • 学科 Geographic information science and geodesy.;Geophysics.;Remote sensing.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 194 p.
  • 总页数 194
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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