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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 Study of Predictive Models for Permeability from Vertical wells using Sequential Gaussian Simulation and Artificial Neural Networks

2022SPE Nigeria Annual International Conference and ExhibitionPublication

10.2118/211987-ms Full text0 citations

Authors

9 authors across 5 institutions in 3 countries.

Oluwatosin J. RotimiFirst author
as printed: Oluwatosin John Rotimi
Ayodeji Akande
- Covenant University (NG)
as printed: Ayodeji Michael Akande
Betty Ihekona
- Covenant University (NG)
Oseremen Iyamah
- Covenant University (NG)
Somto Chukwuka
- Covenant University (NG)
Yao Liang
Wang Zhenli
Wang Zhenli
Oluwatoyin OlogeSenior author
- Federal University Birnin Kebbi (NG)

Fields

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

Geological Modeling and Analysislevel 3 · 1.00
Hydrocarbon exploration and reservoir analysislevel 3 · 1.00
Reservoir Engineering and Simulation Methodslevel 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
2022 · SPE Nigeria Annual International Conference and Exhibition · 0 citations
https://openalex.org/W4289527121

Comparative Study of Predictive Models for Permeability from Vertical wells using Sequential Gaussian Simulation and Artificial Neural Networks · Sankore