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Abstract

Summary

Accurate subsurface characterization requires detailed, continuous data to understand reservoir heterogeneity. Advanced digital core analysis techniques, such as CoreDNA™, enable high-resolution, non-destructive core logging, while modern laboratory technologies like QEMSCAN (Quantitative Evaluation of Minerals by Scanning Electron Microscopy) provide precise mineralogical insights. This study presents a case from Well 15/12-20 S in the Norwegian Central North Sea, demonstrating how CoreDNA™ data supports subsample selection and upscaling to produce continuous property distributions along the core, effectively bridging the gap between field-scale observations and laboratory-scale measurements in Middle Jurassic Sleipner and Triassic Skagerrak Formations.

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/content/papers/10.3997/2214-4609.202534024
2025-02-26
2026-02-06
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References

  1. Germay, C., Lhomme, T., & Perneder, L. (2023). High-resolution core data and machine learning schemes applied to rock facies classification. (A. Neal, M. Ashton, L. Williams, S. Dee, T. Dodd, & J. Marshall, Eds.) Special Publications of the London Geological Society, 527(Core Values: the Role of Core in Twenty-first Century Reservoir Characterization), 121–135. doi:https://doi.org/10.1144/SP527-2021-19
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/content/papers/10.3997/2214-4609.202534024
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