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Olusegun Stanley Tomomewo on Muck Rack

Olusegun Stanley Tomomewo

As seen in: MDPI
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Articles

Multi-Criteria Optimization of a Hybrid Renewable Energy System Using Particle Swarm Optimization for Optimal Sizing and Performance Evaluation

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By Olusegun Stanley Tomomewo, Ajan Meenakshisundaram, Maharshi Dey, Moones Alamooti
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Eng | Free Full-Text | A Probabilistic Study of CO2 Plume Geothermal and Hydrothermal Systems: A Sensitivity Study of Different Reservoir Conditions in Williston Basin, North Dakota

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By Olusegun Stanley Tomomewo, Emmanuel Gyimah, Luc Yvan Nkok, Ebenezer Asare Ofosu
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Enhancing Wear Resistance of Drilling Motor Components: A Tribological and Materials Application Study

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By Olusegun Stanley Tomomewo, Aimen Laalam, Houdaifa Khalifa, Achouak Benarbia
| MDPI
1. Introduction Wear resistance is a paramount consideration in the selection of materials for industrial applications, especially in sectors like the oil and gas industry, where the economic and technical implications of wear can be profound [1]. This encompasses not only increased maintenance costs, but also potential operational inefficiencies.
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