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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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Data-Driven Modelling of Oil Flow Rates in Vertical Wells: Performance Comparisons of Neural Network and Multigene Genetic Programming Approaches

2026Gazi University Journal of Science Part A Engineering and InnovationJournalOpen access

10.54287/gujsa.1960311 Full text0 citations

Authors

3 authors across 2 institutions in 2 countries.

Kawu YakubuFirst authorCorresponding
- University of Uyo (NG)
Anietie Ndarake Okon
- University of Uyo (NG)
as printed: Anietie Okon
Okorie Ekwe AgwuSenior author
as printed: Okorie Agwu Ekwe

Fields

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

Reservoir Engineering and Simulation Methodslevel 3 · 0.37
Fluid Dynamics and Mixinglevel 3 · 0.18
Hydraulic Fracturing and Reservoir Analysislevel 3 · 0.14

Sources

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

openalexseen September 9, 2026
2026 · Gazi University Journal of Science Part A Engineering and Innovation · 0 citations
https://openalex.org/W7170841948

Data-Driven Modelling of Oil Flow Rates in Vertical Wells: Performance Comparisons of Neural Network and Multigene Genetic Programming Approaches · Sankore