An algorithm for identifying stratigraphic piles from interpreted boreholes

Introduction The Stratigraphic Pile (SP) is one of the foundation of most geological studies. It represents, in a compact and practical way, a vertical succession of depositional events over geological time. Accurate definition of the SP is crucial for geological modeling, yet challenges arise when relying on borehole data in the absence of clear biostratigraphic indicators or chronostratigraphical data. Methods This manuscript introduces an algorithm designed to automatically determine the SP using borehole unit sequences. The algorithm also addresses the complexities associated with incomplete sedimentological records and subjective geological interpretations. The algorithm was tested on various datasets, taking into account differences in the number of boreholes and available information. Results and Discussion The efficiency of the algorithm was demonstrated through real-world applications, providing a basis for a comprehensive discussion of its advantages, limitations, and potential applications. The proposed methodology assumes that each borehole contains a single occurrence of a stratigraphic unit, taking into account possible interpretation errors and inconsistencies. The algorithm is capable of: automatically determining one or an ensemble of plausible stratigraphic sequences, identifying potential misinterpreted wells, quantifying the vertical relationships of the stratigraphic units, and assisting in the data preprocessing step and in building the geologic concept of the modeling area. In particular, this ensemble of SPs and identified inconsistencies provide valuable insights into the geological history and concepts for a particular area. Conclusion This research contributes to the refinement of geological modeling workflows and provides a valuable tool for automatic refinement of SP selection.

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Publication Details

Journal
Frontiers in Earth Science
Published
2024-09-26
DOI
https://doi.org/10.3389/feart.2024.1461658
Primary Topic
Geological Modeling and Analysis
Type
article
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article

An algorithm for identifying stratigraphic piles from interpreted boreholes

Philippe Renard, Julien Straubhaar, Ludovic Schorpp
Frontiers in Earth Science
Geological Modeling and Analysis
article

An algorithm for identifying stratigraphic piles from interpreted boreholes

Philippe Renard, Julien Straubhaar, Ludovic Schorpp
article en

Abstract

Introduction The Stratigraphic Pile (SP) is one of the foundation of most geological studies. It represents, in a compact and practical way, a vertical succession of depositional events over geological time. Accurate definition of the SP is crucial for geological modeling, yet challenges arise when relying on borehole data in the absence of clear biostratigraphic indicators or chronostratigraphical data. Methods This manuscript introduces an algorithm designed to automatically determine the SP using borehole unit sequences. The algorithm also addresses the complexities associated with incomplete sedimentological records and subjective geological interpretations. The algorithm was tested on various datasets, taking into account differences in the number of boreholes and available information. Results and Discussion The efficiency of the algorithm was demonstrated through real-world applications, providing a basis for a comprehensive discussion of its advantages, limitations, and potential applications. The proposed methodology assumes that each borehole contains a single occurrence of a stratigraphic unit, taking into account possible interpretation errors and inconsistencies. The algorithm is capable of: automatically determining one or an ensemble of plausible stratigraphic sequences, identifying potential misinterpreted wells, quantifying the vertical relationships of the stratigraphic units, and assisting in the data preprocessing step and in building the geologic concept of the modeling area. In particular, this ensemble of SPs and identified inconsistencies provide valuable insights into the geological history and concepts for a particular area. Conclusion This research contributes to the refinement of geological modeling workflows and provides a valuable tool for automatic refinement of SP selection.

Frontiers in Earth ScienceVol. 12
University of Neuchâtel (CH)
Openalex Percentile: Top 85%
Geological Modeling and Analysis
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An algorithm for identifying stratigraphic piles from interpreted boreholes — Philippe Renard, Julien Straubhaar, et al. · Frontiers in Earth Science (2024) | TGRS Research Map | TGRS