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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.

Predictive Analytics for Sand Production: a Machine Learning Study from the Niger Delta

2025SPE Nigeria Annual International Conference and ExhibitionPublication

10.2118/228769-ms Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

G. T. OmoareFirst author
- University of Ibadan (NG)
S. O. Isehunwa
- University of Ibadan (NG)
A. E. Olaoye
- Rivers State University (NG)
Ehigie MomoduSenior author
- Rivers State University (NG)
as printed: E. Momodu

Fields

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

Reservoir Engineering and Simulation Methodslevel 3 · 1.00
Hydraulic Fracturing and Reservoir Analysislevel 3 · 1.00
Oil and Gas Production Techniqueslevel 3 · 1.00

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/W4413230557

Predictive Analytics for Sand Production: a Machine Learning Study from the Niger Delta · Sankore