以岩石物理和露头资料为指导的多物探数据整合改进Limerick盆地基岩地质特征

IF 1.8 3区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS
Prithwijit Chakraborti, Aline Melo, Eoin Dunlevy, Mark Holdstock
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引用次数: 0

摘要

爱尔兰利默里克盆地的地质测绘面临着巨大的挑战,因为广泛的冰川覆盖层掩盖了基岩地质。为了解决这个问题,多个地球物理数据集,包括布格重力异常、从频域电磁数据中获得的60 m深度的总磁强度和电阻率深度片,使用一种新的数据集成工作流程,使用地质(地面真实)和岩石物理数据进行集成。该地区可获得的地面真实数据包含有关露头地质构造和钻芯最上层地质单元的信息,这些信息是从几家矿业公司进行的钻探活动中获得的。数据集成工作流利用地面真实数据进行半监督均匀流形逼近和投影(UMAP)降维,从而在降维数据中更清晰地分离类,并提高聚类算法的性能,我们已经使用了基于分层密度的带噪声应用空间聚类(HDBSCAN)。UMAP的随机特性在每次迭代中产生的结果略有不同。因此,使用UMAP和HDBSCAN的多次迭代来创建具有平滑变化聚类标签的聚类图的重复工作流程,使我们能够使用涉及地质,地球物理和岩石物理数据的组合解释技术将它们分类为与地质构造和岩石类型相关的范围。根据Limerick盆地的真实地质环境和该地区可用的地球物理数据集,在一项综合研究中对该工作流程进行了测试。通过野外数据整合获得的聚类图提出了该地区的修订图,其中对火成岩和沉积单元的分布进行了重大修改,特别是在西北和利默里克向斜区域内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Improved Bedrock Geology Characterization in Limerick Basin Using Multi-Geophysical Data Integration Guided by Petrophysics and Outcrop Data

An Improved Bedrock Geology Characterization in Limerick Basin Using Multi-Geophysical Data Integration Guided by Petrophysics and Outcrop Data

Geological mapping in the Limerick Basin, Ireland, presents significant challenges due to the extensive glacial overburden obscuring the bedrock geology. To address this, multiple geophysical datasets comprising the Bouguer gravity anomaly, total magnetic intensity and resistivity depth slice at 60 m depth obtained from frequency domain electromagnetic data are integrated using a novel data integration workflow that uses geological (ground truth) and petrophysical data. The ground truth data available in this area contain information about the geological formations of outcrops and topmost geological units of drill cores procured from drilling campaigns undertaken by several mining companies.

The data integration workflow utilizes ground truth data for semi-supervised uniform manifold approximation and projection (UMAP) dimensionality reduction, which leads to cleaner separation of classes in the dimensionality-reduced data and improves the performance of the clustering algorithm for which we have used hierarchical density-based spatial clustering of applications with noise (HDBSCAN). The stochastic nature of UMAP yields slightly different results for each iteration. Hence, a repetitive workflow involving multiple iterations of UMAP and HDBSCAN is applied to create cluster maps with smoothly varying cluster labels, allowing us to classify them into ranges that are associated with geological formations and rock types using a combined interpretation technique involving geological, geophysical and petrophysical data.

The workflow is tested on a synthetic study inspired by the real geological setting of the Limerick Basin and geophysical datasets available in the area. The cluster map obtained from field data integration led to the proposal of a revised map of the area with significant modifications in the distribution of igneous and sedimentary units, specifically to the northwest and within the Limerick syncline region.

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来源期刊
Geophysical Prospecting
Geophysical Prospecting 地学-地球化学与地球物理
CiteScore
4.90
自引率
11.50%
发文量
118
审稿时长
4.5 months
期刊介绍: Geophysical Prospecting publishes the best in primary research on the science of geophysics as it applies to the exploration, evaluation and extraction of earth resources. Drawing heavily on contributions from researchers in the oil and mineral exploration industries, the journal has a very practical slant. Although the journal provides a valuable forum for communication among workers in these fields, it is also ideally suited to researchers in academic geophysics.
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