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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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Predictive Modeling of Daily Oil Production Volume Using Pressure-Dependent Parameters: A Machine Learning Approach and Web App Implementation

2024SPE Nigeria Annual International Conference and ExhibitionPublication

10.2118/221594-ms Full text0 citations

Authors

4 authors across 3 institutions in 1 country.

A. A. AjibadeFirst author
Ikechukwu Okafor
- Nile University of Nigeria (NG)
as printed: I. S Okafor
O. Ogolo
- Petroleum Training Institute (NG)
- Federal University of Petroleum Resource Effurun (NG)
O. G. GolaghaSenior author

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
2024 · SPE Nigeria Annual International Conference and Exhibition · 0 citations
https://openalex.org/W4401349724

Predictive Modeling of Daily Oil Production Volume Using Pressure-Dependent Parameters: A Machine Learning Approach and Web App Implementation · Sankore