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Abstract

Summary

In this work, we show the result of applying Rune Inversion and Machine Learning (ML) algorithms for lithology and hydrocarbon prediction to the seismic and well data in the Norwegian Sea in 2021. We are dealing with post-seismic data and considering the proposed techniques as an alternative and additional scanning tool to derisk the prospects. We study the area around Shrek and along Skarv discovery at Fangst Group formations, which often have hydrocarbon-bearing sandstones. Several wells penetrated reservoirs with success. A dry hole was one of the latest announced results of drilling in the studied area in 2024.

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/content/papers/10.3997/2214-4609.202449BGS16
2024-05-28
2026-02-09
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References

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