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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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A Multi-Source Data-Driven Approach to Marginal Field Development: Leveraging Machine Learning for Predictive Modeling

2025Improved Oil and Gas RecoveryJournalOpen access

10.14800/iogr.1467 Full text1 citations

Authors

5 authors.

Christian OkallaFirst author
- Federal University of Technology Owerri (NG)
as printed: Christian Emelu Okalla
Charlie Iyke Anyadiegwu
- Federal University of Technology Owerri (NG)
Azunna Ekejiuba
- Federal University of Technology Owerri (NG)
Ubanozie Julian Obibuike
- Federal University of Technology Owerri (NG)
Nnaemeka UwaezuokeSenior author
- Federal University of Technology Owerri (NG)

Fields

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

Computational and Text Analysis Methodslevel 3 · 0.03
Soil Geostatistics and Mappinglevel 3 · 0.02
demographic modeling and climate adaptationlevel 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 · Improved Oil and Gas Recovery · 1 citations
https://openalex.org/W7154132283

A Multi-Source Data-Driven Approach to Marginal Field Development: Leveraging Machine Learning for Predictive Modeling · Sankore