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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.

A Machine Learning Approach to Predicting Wellbore Instability in the Niger Delta

2025SPE Nigeria Annual International Conference and ExhibitionPublication

10.2118/228738-ms Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

K. IkobeeFirst author
- Rivers State University (NG)
Chibuzo Ogbonna Nwamaioha
- University of Port Harcourt (NG)
as printed: C. Nwamaioha
Seth Uba Wadike
- Rivers State University (NG)
as printed: S. Wadike
F. AgboraSenior author
- University of Port Harcourt (NG)

Fields

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

Hydraulic Fracturing and Reservoir Analysislevel 3 · 1.00
Reservoir Engineering and Simulation Methodslevel 3 · 1.00
Drilling and Well Engineeringlevel 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/W4413134231

A Machine Learning Approach to Predicting Wellbore Instability in the Niger Delta · Sankore