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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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Determining optimal controls placed on injection/production wells during waterflooding in heterogeneous oil reservoirs using artificial neural network models and multi-objective genetic algorithm

2024Computational GeosciencesJournal

10.1007/s10596-024-10300-2 Full text8 citations

Authors

5 authors.

Onyebuchi Ivan NwanweFirst authorCorresponding
- Federal University of Technology Owerri (NG)
Nkemakolam Chinedu Izuwa
- Federal University of Technology Owerri (NG)
N.P. Ohia
- Federal University of Technology Owerri (NG)
as printed: Nnaemeka Princewill Ohia
Anthony Kerunwa
- 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.

Reservoir Engineering and Simulation Methodslevel 3 · 1.00
Oil and Gas Production Techniqueslevel 3 · 1.00
Hydraulic Fracturing and Reservoir Analysislevel 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
2024 · Computational Geosciences · 8 citations
https://openalex.org/W4400382498

Determining optimal controls placed on injection/production wells during waterflooding in heterogeneous oil reservoirs using artificial neural network models and multi-objective genetic algorithm · Sankore