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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.

Predicting the Occurrence of Wax Precipitation in Crude Oil Pipelines Using Machine Learning

2025SPE Nigeria Annual International Conference and ExhibitionPublication

10.2118/228619-ms Full text0 citations

Authors

5 authors across 4 institutions in 1 country.

Yoyok GamalielFirst author
- University of Port Harcourt (NG)
- Rivers State University (NG)
as printed: Y. S. Gamaliel
B. A. Elizabeth
- Abubakar Tafawa Balewa University (NG)
B. A. Elizabeth
- Abubakar Tafawa Balewa University (NG)
I. Ayuba
- Abubakar Tafawa Balewa University (NG)
Igulu KingsleySenior author
- University of Nigeria (NG)
as printed: I. K. Kingsley

Fields

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

Petroleum Processing and Analysislevel 3 · 1.00
Enhanced Oil Recovery Techniqueslevel 3 · 0.99
Hydrocarbon exploration and reservoir analysislevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2025 · SPE Nigeria Annual International Conference and Exhibition · 0 citations
https://openalex.org/W4413046940

Predicting the Occurrence of Wax Precipitation in Crude Oil Pipelines Using Machine Learning · Sankore