Semi-automated Correlation of Silurian Well-Logs Across Gotland, Sweden, Using Dynamic Time Warping With Barycenter Averaging

Studies of the Silurian sequence on Gotland have significantly advanced our understanding of Silurian climate dynamics, with much of the research focusing on small outcrops and short cores. Gotland has an extensive network of abandoned oil and gas wells. Most of these include gamma-ray well logs, which have not yet been fully utilised for their stratigraphic value. While the Ordovician succession has been successfully correlated using these well logs, the correlation for the Silurian succession has yet to be fully realised. The present study addresses some of the limitations of correlations performed using Dynamical Time Warping (DTW) by combining DTW with Barycenter Averaging (DBA). This enables a semi-automated correlation of the Silurian well-logs over a ~60 km-long transect and the subdivision of gamma-ray log logs into parts that can be linked with their lithostratigraphic surface counterparts. Additionally, we tracked changes in gamma-ray logs associated with these subsurface units, providing new insights into biogeochemical events (e.g., δ¹³C excursions) previously mapped only at the surface of Gotland. Our results demonstrate the application of a DTW/DBA-based workflow for stratigraphic correlation and highlight the potential to integrate subsurface well-log data to refine Silurian stratigraphy on Gotland.

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Publication Details

Journal
The Sedimentary Record
Published
2026-01-05
DOI
https://doi.org/10.2110/001c.147894
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
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article

Semi-automated Correlation of Silurian Well-Logs Across Gotland, Sweden, Using Dynamic Time Warping With Barycenter Averaging

Bradley D. Cramer, Michiel Arts, Daniel Sopher, Mikael Erlström et al.
The Sedimentary Record
Hydrocarbon exploration and reservoir analysis
article

Semi-automated Correlation of Silurian Well-Logs Across Gotland, Sweden, Using Dynamic Time Warping With Barycenter Averaging

Bradley D. Cramer, Michiel Arts, Daniel Sopher, Mikael Erlström, Mikael Calner, Rohit Samant, Anne-Christine Da Silva
article en

Abstract

Studies of the Silurian sequence on Gotland have significantly advanced our understanding of Silurian climate dynamics, with much of the research focusing on small outcrops and short cores. Gotland has an extensive network of abandoned oil and gas wells. Most of these include gamma-ray well logs, which have not yet been fully utilised for their stratigraphic value. While the Ordovician succession has been successfully correlated using these well logs, the correlation for the Silurian succession has yet to be fully realised. The present study addresses some of the limitations of correlations performed using Dynamical Time Warping (DTW) by combining DTW with Barycenter Averaging (DBA). This enables a semi-automated correlation of the Silurian well-logs over a ~60 km-long transect and the subdivision of gamma-ray log logs into parts that can be linked with their lithostratigraphic surface counterparts. Additionally, we tracked changes in gamma-ray logs associated with these subsurface units, providing new insights into biogeochemical events (e.g., δ¹³C excursions) previously mapped only at the surface of Gotland. Our results demonstrate the application of a DTW/DBA-based workflow for stratigraphic correlation and highlight the potential to integrate subsurface well-log data to refine Silurian stratigraphy on Gotland.

The Sedimentary RecordVol. 23(1)
University of Iowa (US), University of Liège (BE), Lund University (SE), University of Münster (DE), Geological Survey of Sweden (SE)
Climate action
Openalex Percentile: Top 96%
Hydrocarbon exploration and reservoir analysis
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Semi-automated Correlation of Silurian Well-Logs Across Gotland, Sweden, Using Dynamic Time Warping With Barycenter Averaging — Bradley D. Cramer, Michiel Arts, et al. · The Sedimentary Record (2026) | TGRS Research Map | TGRS