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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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An artificial neural network visible mathematical model for real-time prediction of multiphase flowing bottom-hole pressure in wellbores

2022Petroleum ResearchJournalOpen access

10.1016/j.ptlrs.2022.10.004 Full text24 citations

Authors

4 authors across 2 institutions in 1 country.

Chibuzo Cosmas NwanweFirst authorCorresponding
- Federal Polytechnic Nekede (NG)
- Federal University of Technology Owerri (NG)
Ugochukwu I. Duru
- Federal University of Technology Owerri (NG)
as printed: Ugochukwu Ilozurike Duru
Charley Anyadiegwu
- Federal University of Technology Owerri (NG)
Azunna I.B. EkejubaSenior author
- Federal University of Technology Owerri (NG)

Fields

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

Drilling and Well Engineeringlevel 3 · 1.00
Reservoir Engineering and Simulation Methodslevel 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
2022 · Petroleum Research · 24 citations
https://openalex.org/W4307248994

An artificial neural network visible mathematical model for real-time prediction of multiphase flowing bottom-hole pressure in wellbores · Sankore