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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.

Multi attribute predictions of volume of shale and porosity from seismic data over Akaso Field, Niger Delta using machine learning regression analysis

2026Discover GeoscienceJournalOpen access

10.1007/s44288-026-00457-x Full text3 citations

Authors

2 authors across 2 institutions in 1 country.

Edeye EjaitaFirst authorCorresponding
- Niger Delta University (NG)
Francis OmonefeSenior authorCorresponding
- Federal University Otuoke (NG)

Fields

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

Seismic Imaging and Inversion Techniqueslevel 3 · 0.63
Geological formations and processeslevel 3 · 0.24
Hydrocarbon exploration and reservoir analysislevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · Discover Geoscience · 3 citations
https://openalex.org/W7130514817

Multi attribute predictions of volume of shale and porosity from seismic data over Akaso Field, Niger Delta using machine learning regression analysis · Sankore