A single multi-scale and multi-sourced semi-automated lineament detection technique for detailed structural mapping with applications to geothermal energy exploration

IF 1.3 4区 工程技术 Q3 ENGINEERING, GEOLOGICAL Quarterly Journal of Engineering Geology and Hydrogeology Pub Date : 2023-02-20 DOI:10.1144/qjegh2022-051
Christopher M. Yeomans, Hester Claridge, Alexander J.L. Hudson, Robin K. Shail, Cees Willems, Matthew Eyre, Chris Harker
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Abstract

Semi-automated algorithms incorporating multi-sourced datasets into a single analysis are increasingly common, but until now operate at a fixed pixel resolution resulting in multi-sourced methods being limited by the largest input pixel size. Multi-scale lineament detection circumvents this issue and allows increased levels of detail to be captured. We present a semi-automated method using a bottom-up Object-Based Image Analysis approach to map regional lineaments to a high level of detail. The method is applied to onshore light detection and ranging (LiDAR) data and offshore bathymetry around the Land's End Granite (Cornwall, UK). The method uses three different pixel resolutions to extract detailed lineaments across a 700 km 2 area. The granite displays large-scale NW–SE fault zones that are considered analogous to those being targeted as onshore deep geothermal reservoirs (2–5 km in depth). Investigation of the lineaments derived from this study shows along-strike variations from NW–SE orientations within granite to NNW–SSE within slate and reflects structural inheritance of early Variscan structures within Devonian slates. This is furthered by analysing these major structures for reservoir potential. Lineaments proximal to these broadly NW–SE features indicate that a damage zone c. 100–200 m wide is present. These observations provide a preliminary understanding of reservoir characteristics for fault-hosted geothermal systems. Thematic collection: This article is part of the Remote sensing for site investigations on Earth and other planets collection available at: https://www.lyellcollection.org/topic/collections/remote-sensing-for-site-investigations-on-earth-and-other-planets Supplementary material: A description of the OBAI method and additional figures are available at https://doi.org/10.6084/m9.figshare.c.6309629
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一种单一多尺度多源半自动化构造精细测绘技术及其在地热能勘探中的应用
将多源数据集合并到单个分析中的半自动算法越来越普遍,但到目前为止,多源方法以固定的像素分辨率运行,导致多源方法受到最大输入像素大小的限制。多尺度的线条检测避免了这个问题,并允许捕获更多的细节。我们提出了一种半自动化的方法,使用自下而上的基于对象的图像分析方法将区域轮廓映射到高水平的细节。该方法应用于陆上光探测和测距(LiDAR)数据和陆地端花岗岩(英国康沃尔)附近的海上测深。该方法使用三种不同的像素分辨率来提取700平方公里区域内的详细轮廓。花岗岩显示大规模的NW-SE断裂带,被认为类似于陆上深层地热储层(深度2-5公里)。研究结果表明,从花岗岩内的NW-SE向到板岩内的NNW-SSE向,沿走向发生了变化,反映了泥盆系板岩内早期瓦里斯坎构造的构造继承。进一步分析了这些主要构造的储集潜力。靠近这些广泛的西北-东南特征的轮廓表明,存在一个100-200米宽的破坏区。这些观测结果为断层地热系统的储层特征提供了初步的认识。专题合集:本文是地球和其他行星现场调查遥感合集的一部分,可在:https://www.lyellcollection.org/topic/collections/remote-sensing-for-site-investigations-on-earth-and-other-planets获得补充材料:OBAI方法的描述和其他数据可在https://doi.org/10.6084/m9.figshare.c.6309629获得
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来源期刊
CiteScore
3.40
自引率
14.30%
发文量
66
审稿时长
6 months
期刊介绍: Quarterly Journal of Engineering Geology and Hydrogeology is owned by the Geological Society of London and published by the Geological Society Publishing House. Quarterly Journal of Engineering Geology & Hydrogeology (QJEGH) is an established peer reviewed international journal featuring papers on geology as applied to civil engineering mining practice and water resources. Papers are invited from, and about, all areas of the world on engineering geology and hydrogeology topics. This includes but is not limited to: applied geophysics, engineering geomorphology, environmental geology, hydrogeology, groundwater quality, ground source heat, contaminated land, waste management, land use planning, geotechnics, rock mechanics, geomaterials and geological hazards. The journal publishes the prestigious Glossop and Ineson lectures, research papers, case studies, review articles, technical notes, photographic features, thematic sets, discussion papers, editorial opinion and book reviews.
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