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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.

Adoption of machine learning in estimating compressibility factor for natural gas mixtures under high temperature and pressure applications

2022Flow Measurement and InstrumentationJournalOpen access

10.1016/j.flowmeasinst.2022.102257 Full text8 citations

Authors

5 authors across 2 institutions in 1 country.

Emmanuel E. OkoroFirst authorCorresponding
- University of Port Harcourt (NG)
as printed: Emmanuel Emeka Okoro
Ekene Ikeora
- Covenant University (NG)
Samuel Eshorame Sanni
- Covenant University (NG)
as printed: Samuel E. Sanni
Victor Joseph Aimikhe
- University of Port Harcourt (NG)
as printed: Victor J. Aimihke
Oscar I.O. OgaliSenior author
- University of Port Harcourt (NG)
as printed: Oscar I. Ogali

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
Phase Equilibria and Thermodynamicslevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · Flow Measurement and Instrumentation · 8 citations
https://openalex.org/W4306966767

Adoption of machine learning in estimating compressibility factor for natural gas mixtures under high temperature and pressure applications · Sankore