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

ABSTRACT 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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Publication Details

Journal
Geophysical Prospecting
Published
2025-09-01
DOI
https://doi.org/10.1111/1365-2478.70066
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Eoin Dunlevy, Prithwijit Chakraborti, Mark Holdstock, Aline Melo
Geophysical Prospecting
Hydrocarbon exploration and reservoir analysis
article

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

Eoin Dunlevy, Prithwijit Chakraborti, Mark Holdstock, Aline Melo
article en

Abstract

ABSTRACT 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.

Geophysical ProspectingVol. 73(7)
University College Dublin (IE), Science Foundation Ireland (IE), University of Limerick (IE), Heidelberg Engineering (Germany) (DE)
Geological Survey of Ireland
Openalex Percentile: Top 74%
Hydrocarbon exploration and reservoir analysis
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