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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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Predicting the effects of selected reservoir petrophysical properties on bottomhole pressure via three computational intelligence techniques

2022Petroleum ResearchJournalOpen access

10.1016/j.ptlrs.2022.07.001 Full text7 citations

Authors

4 authors across 4 institutions in 1 country.

Emmanuel E. OkoroFirst authorCorresponding
- University of Port Harcourt (NG)
- Covenant University (NG)
- Rivers State University (NG)
Samuel Eshorame Sanni
- Covenant University (NG)
as printed: Samuel E. Sanni
Tamunotonjo Obomanu
- The Federal Polytechnic, Ado-Ekiti (NG)
Paul IgbinedionSenior author
- Covenant University (NG)

Fields

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

Reservoir Engineering and Simulation Methodslevel 3 · 1.00
Hydraulic Fracturing and Reservoir Analysislevel 3 · 1.00
Enhanced Oil Recovery Techniqueslevel 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 · Petroleum Research · 7 citations
https://openalex.org/W4284886949

Predicting the effects of selected reservoir petrophysical properties on bottomhole pressure via three computational intelligence techniques · Sankore