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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.

Comparative Evaluation of Machine Learning Algorithms for Permeability Prediction from Wireline Well Log Data

2026Nigerian Journal of PhysicsJournalOpen access

10.62292/njp.v35(s).2026.656 Full text0 citations

Authors

4 authors across 4 institutions in 1 country.

Oludare Olukayode BabalolaFirst author
- Lead City University (NG)
Odunayo Christiana Ogunleye
- Adekunle Ajasin University (NG)
- Obafemi Awolowo University (NG)
- Ekiti State University (NG)
Damilola Rukayat Adedokun
- Lead City University (NG)
Racheal Foluke OloruntolaSenior author
- Lead City University (NG)

Fields

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

Hydrocarbon exploration and reservoir analysislevel 3 · 0.90
Reservoir Engineering and Simulation Methodslevel 3 · 0.02
Enhanced Oil Recovery Techniqueslevel 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 · Nigerian Journal of Physics · 0 citations
https://openalex.org/W7202112639

Comparative Evaluation of Machine Learning Algorithms for Permeability Prediction from Wireline Well Log Data · Sankore