Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Integration of artificial neural network and move fault analysis model for predicting fault seals: a case study in “Swan” field, Niger Delta Basin

2025Arabian Journal of GeosciencesJournal

10.1007/s12517-025-12312-3 Full text0 citations

Authors

2 authors across 2 institutions in 1 country.

Oluwatoyin Abosede OluwadareFirst author
- Federal University of Technology (NG)
Princess H. AyefohanneSenior authorCorresponding
- Achievers University (NG)
- Federal University of Technology (NG)
as printed: Princess Hannah Ayefohanne

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
Drilling and Well Engineeringlevel 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
2025 · Arabian Journal of Geosciences · 0 citations
https://openalex.org/W4414414415

Integration of artificial neural network and move fault analysis model for predicting fault seals: a case study in “Swan” field, Niger Delta Basin · Sankore