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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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MACHINE LEARNING APPLICATION FOR PREDICTION OF POROSITY AND PERMEABILITY LOGS: A CASE STUDY OF O-W FIELD NIGER DELTA

2025Engineering Heritage JournalJournalOpen access

10.26480/gwk.01.2025.01.06 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

O. Raji WasiuFirst author
- University of Benin (NG)
as printed: Osisanya Olajuwon Wasiu
Eze Uchechukwu Stanley
Ogugu Augustine Abiodun
- Federal University of Petroleum Resource Effurun (NG)
Uti Lawrence OghenebrumeSenior author

Fields

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

Hydrocarbon exploration and reservoir analysislevel 3 · 0.88
Enhanced Oil Recovery Techniqueslevel 3 · 0.03
Reservoir Engineering and Simulation Methodslevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2025 · Engineering Heritage Journal · 0 citations
https://openalex.org/W7124468539

MACHINE LEARNING APPLICATION FOR PREDICTION OF POROSITY AND PERMEABILITY LOGS: A CASE STUDY OF O-W FIELD NIGER DELTA · Sankore