Sand-Clay Distribution and Best Quality Sand Thickness in the Våle and Lista Formations of Rogaland Group: Comparison of Stratigraphic Reference Maps and AI-based Inversion Results in the Norwegian North Sea Elephant Database

The authors analysed the regional distribution of Rogaland Group sands, which were predicted using AI-based Rune Inversion and the Gyllenhammar equation for clay volume estimation applied to the ultra-large Elephant 2.0 database (constructed in 2022). The results were compared with the stratigraphic framework established by Brunstad et al. (2013). Drawing upon publicly available information and insights from personal comments made by Harald Brunstad, the study demonstrates general compliance with the work of Brunstad et al. and reveals potential new areas and thicknesses for sandstone accumulations. Considering the challenges in estimating volume of sand from post-stack inversion, the results show a high degree of correlation, revealing more details between the wells.

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Publication Details

Journal
First Break
Published
2025-09-01
DOI
https://doi.org/10.3997/1365-2397.fb2025068
Citations
1
Primary Topic
Geological formations and processes
Type
article
Field-Weighted Citation Impact
1.67
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article

Sand-Clay Distribution and Best Quality Sand Thickness in the Våle and Lista Formations of Rogaland Group: Comparison of Stratigraphic Reference Maps and AI-based Inversion Results in the Norwegian North Sea Elephant Database

V. Kalashnikova, Rune Øverås, T. N. Nekrasova, Ivar Meisingset et al.
1 citations
First Break
Geological formations and processes
1.67
article

Sand-Clay Distribution and Best Quality Sand Thickness in the Våle and Lista Formations of Rogaland Group: Comparison of Stratigraphic Reference Maps and AI-based Inversion Results in the Norwegian North Sea Elephant Database

V. Kalashnikova, Rune Øverås, T. N. Nekrasova, Ivar Meisingset, Carl Fredrik Gyllnehammar
article en
1 citations

Abstract

The authors analysed the regional distribution of Rogaland Group sands, which were predicted using AI-based Rune Inversion and the Gyllenhammar equation for clay volume estimation applied to the ultra-large Elephant 2.0 database (constructed in 2022). The results were compared with the stratigraphic framework established by Brunstad et al. (2013). Drawing upon publicly available information and insights from personal comments made by Harald Brunstad, the study demonstrates general compliance with the work of Brunstad et al. and reveals potential new areas and thicknesses for sandstone accumulations. Considering the challenges in estimating volume of sand from post-stack inversion, the results show a high degree of correlation, revealing more details between the wells.

First BreakVol. 43(9)
Universidad Modelo (MX), Ta Solutions (China) (CN), Camo (Norway) (NO)
Openalex Percentile: Top 15%
Geological formations and processes
1.67
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