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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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Interpretation of Neural Network Models – New Insights of Estimating Static Bottom-Hole Pressures of Gas Wells in Nigerian Petroleum Provinces

2023International Journal of Petroleum TechnologyJournalOpen access

10.15377/2409-787x.2023.10.10 Full text1 citations

Authors

4 authors across 2 institutions in 1 country.

Clement E. UdomaFirst author
- University of Uyo (NG)
Anietie Ndarake Okon
- University of Uyo (NG)
as printed: Anietie N. Okon
Stella U. Udoeyop
- University of Uyo (NG)
Chinedu Wilfred OkologumeSenior author
- Federal University of Petroleum Resource Effurun (NG)
as printed: Wilfred C. Okologume

Fields

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

Hydraulic Fracturing and Reservoir Analysislevel 3 · 1.00
Reservoir Engineering and Simulation Methodslevel 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
2023 · International Journal of Petroleum Technology · 1 citations
https://openalex.org/W4392458459

Interpretation of Neural Network Models – New Insights of Estimating Static Bottom-Hole Pressures of Gas Wells in Nigerian Petroleum Provinces · Sankore