Anietie Ndarake Okon

ORCID, self-asserted

ORCID 0000-0003-1744-3310

Publications

Citations

h-index

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

Publications

13 works in the graph, newest first.

Annulus and drillstring pressure loss estimation models: A critical review of empirical and mechanistic approaches
2026Flow Measurement and InstrumentationJournal0 citations10.1016/j.flowmeasinst.2026.103355
Data-Driven Modelling of Oil Flow Rates in Vertical Wells: Performance Comparisons of Neural Network and Multigene Genetic Programming Approaches
2026Gazi University Journal of Science Part A Engineering and InnovationJournalOpen access0 citations10.54287/gujsa.1960311
Hybrid Intelligence Model for Reservoir Properties Predictions: A Case Study of the Niger Delta
2025World Journal of Advanced Research and ReviewsJournalOpen access0 citations10.5281/zenodo.17788849
Hybrid Intelligence Model for Reservoir Properties Predictions: A Case Study of the Niger Delta
2025World Journal of Advanced Research and ReviewsJournalOpen access0 citations10.5281/zenodo.17788850
Assessing the Rheological and Filtration Loss Control Potential of Selected Plant-Based Additives in Oil-Based Mud
2024Petroleum Science and EngineeringJournalOpen accessCorresponding4 citations10.11648/j.pse.20240802.13
Machine Learning Approach for Reservoir Petrophysical Properties Prediction from Well-Logs Data in the Niger Delta
2024SPE Nigeria Annual International Conference and ExhibitionPublication3 citations10.2118/221719-ms
Effective Marginal Field Production Using Electric Submersible Pump: Niger Delta Case Study
2024Asian Journal of Advanced Research and ReportsJournalOpen access2 citations10.9734/ajarr/2024/v18i10754
Simplified Neural Network-Based Models for Oil Flow Rate Prediction
2024Petroleum Science and EngineeringJournalOpen access1 citations10.11648/j.pse.20240802.12
Marginal Fields Development in Nigeria: A Review of Extant Strategies
2023Journal of Energy Research and ReviewsJournalOpen access8 citations10.9734/jenrr/2023/v15i1294
Machine Learning-Based Models for Basic Sediment & Water and Sand-Cut Prediction in Matured Niger Delta Fields
2023Journal of Energy Research and ReviewsJournalOpen accessSenior author4 citations10.9734/jenrr/2023/v15i2310
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 access1 citations10.15377/2409-787x.2023.10.10
Oil And Gas Flow Rate Prediction for African Oilfields: An Overview of Existing Models, Data and Uncertainties
2023INTERNATIONAL JOURNAL OF ENGINEERING AND MODERN TECHNOLOGYJournalOpen accessSenior author0 citations10.56201/ijemt.v9.no2.2023.pg74.94
Explicit Neural Network-Based Models for Bubble Point Pressure and Formation Volume Factor Prediction
2022Arabian Journal for Science and EngineeringJournalFirst authorCorresponding9 citations10.1007/s13369-022-07240-3