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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Prediction of Formation Porosity from Well Log Data using Selected Machine Learning Algorithms

2026Current Journal of Applied Science and TechnologyJournalOpen access

10.9734/cjast/2026/v45i54694 Full text0 citations

Authors

5 authors.

Akinsete O. OluwatoyinFirst author
- University of Ibadan (NG)
Adediran B. Azeez
- University of Ibadan (NG)
Cleophas Joshua
- University of Ibadan (NG)
Aderemi S. Bankole
- University of Ibadan (NG)
Fadayomi A. AbosedeSenior author
- University of Ibadan (NG)

Fields

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

Hydrocarbon exploration and reservoir analysislevel 3 · 0.89
NMR spectroscopy and applicationslevel 3 · 0.02
Hydraulic Fracturing and Reservoir Analysislevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · Current Journal of Applied Science and Technology · 0 citations
https://openalex.org/W7156220375

Prediction of Formation Porosity from Well Log Data using Selected Machine Learning Algorithms · Sankore