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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.

Oil And Gas Flow Rate Prediction for African Oilfields: An Overview of Existing Models, Data and Uncertainties

2023INTERNATIONAL JOURNAL OF ENGINEERING AND MODERN TECHNOLOGYJournalOpen access

10.56201/ijemt.v9.no2.2023.pg74.94 Full text0 citations

Authors

3 authors across 2 institutions in 2 countries.

Yakubu KawuFirst authorCorresponding
- University of Uyo (NG)
Okorie Ekwe Agwu
- University of Uyo (NG)
as printed: Okorie Agwu
Anietie Ndarake OkonSenior author
- University of Uyo (NG)
as printed: Anietie Okon

Fields

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

Reservoir Engineering and Simulation Methodslevel 3 · 1.00
Oil and Gas Production Techniqueslevel 3 · 1.00
Hydraulic Fracturing and Reservoir Analysislevel 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
2023 · INTERNATIONAL JOURNAL OF ENGINEERING AND MODERN TECHNOLOGY · 0 citations
https://openalex.org/W4387669203

Oil And Gas Flow Rate Prediction for African Oilfields: An Overview of Existing Models, Data and Uncertainties · Sankore