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4 articles for “Offshore rig”
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Working model on Power Generation in Offshore Rig Using Tidal Energy
Abstract: Abstract- Hydrocarbons are a significant source of energy. Its expanding usage has caused the hydrocarbon exploration to go past the shore. Offshore Rig power prerequisites are higher contrasted with onshore rigs. Diesel Generators are customarily utilized for the power prerequisites of offshore rigs. This project expects to propose a plan to utilize the renewable source of energy (fundamentally tidal energy) for energy age in offshore. The thought is to have …
Published in Journal of Petroleum Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 46–58 Read article
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ASSESSING RISKS OF FIRE ITS CONSEQUENCE MODELLING AND DETECTION SYSTEMS FOR OFFSHORE INDUSTRIES
Abstract: Offshore industries are well recognized all over the world for its complex conditions, geometry, robustness, and rigidness. A small mistake can immediately escalate to catastrophe, of all the accidents reported till date fire is the most frequently reported one. Major accidents like the Deepwater Horizon, piper alpha has taught entire crude industry a lesson on how important it is to prevent fire occurrence. therefore, it is necessary to study fire …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 11–16 Read article
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Hydrodynamic Analysis of Symmetrical Naca Airfoils: A CFD Simulation Approach
Abstract: This study presents a comprehensive numerical investigation of the hydrodynamic characteristics of selected NACA airfoil profiles using advanced computational fluid dynamics (CFD) simulations performed in ANSYS Fluent. The primary objective is to evaluate the fluid–structure interaction behavior of these airfoils when subjected to marine flow conditions relevant to offshore and submerged engineering applications. By modeling the interaction between incompressible fluid flow and various NACA geometries, the study systematically analyzes key …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article