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

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 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 km2 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 show along-strike variations from NW-SE orientations within granite to NNW-SSE within slate and reflect 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 a damage zone approximately 100-200 m wide is present. These observations provide a preliminary understanding of reservoir characteristics for fault-hosted geothermal systems.
Original languageEnglish
Article numberqjegh2022-051
JournalQuarterly Journal of Engineering Geology and Hydrogeology
Volume56
Issue number2
Early online date28 Nov 2022
DOIs
Publication statusPublished - 8 May 2023

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