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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Machine learning-based real-time lithology prediction from drilling acoustic signals

2025Unconventional ResourcesJournalOpen access

10.1016/j.uncres.2025.100291 Full text1 citations

Authors

7 authors.

Eric Mensah AmarfioFirst author
- University of Mines and Technology (GH)
Eric Thompson BrantsonCorresponding
- University of Mines and Technology (GH)
Frederick Asamoah
- University of Mines and Technology (GH)
Joel Adu-Awuku
- University of Mines and Technology (GH)
Botwe Takyi
- University of Mines and Technology (GH)
as printed: Takyi Botwe
Bright Ntebu Laliri
- University of Mines and Technology (GH)
Eugene Jerry AdjeiSenior author
- University of Mines and Technology (GH)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Drilling and Well Engineeringlevel 3 · 0.78
Hydrocarbon exploration and reservoir analysislevel 3 · 0.14
Seismic Imaging and Inversion Techniqueslevel 3 · 0.03

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 5, 2026
2025 · Unconventional Resources · 1 citations
https://openalex.org/W4417088611

Machine learning-based real-time lithology prediction from drilling acoustic signals · Sankore