Effect of Nose Radius on Surface Roughness of Diamond Turned Germanium Lenses

Adeleke, Adeniyi Kehinde; Khaled, Abou-El-Hossein; Odedeyi, Peter Babatunde

doi:10.21203/rs.3.rs-819576/v1

Cited by 8 publications

(11 citation statements)

References 8 publications

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“…Lean organizations empower employees to contribute ideas, solve problems, and drive continuous improvement initiatives, fostering a culture of innovation, collaboration, and accountability that enhances employee satisfaction and retention. In summary, optimized work methods such as predictive maintenance strategies, condition-based monitoring, integrated asset management systems, and lean operations and continuous improvement methodologies play a crucial role in enhancing the safety, efficiency, and reliability of subsea maintenance and production operations (Adeleke, 2021). By leveraging advanced technologies, data-driven insights, and continuous improvement principles, organizations can optimize asset performance, reduce downtime, minimize costs, and maximize value delivery to stakeholders throughout the asset lifecycle.…”

Section: Optimized Work Methodsmentioning

confidence: 99%

Technological innovations and optimized work methods in subsea maintenance and production

Obinna Joshua Ochulor,

Oludayo Olatoye Sofoluwe,

Ayemere Ukato

et al. 2024

Eng. sci. technol. j.

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Subsea maintenance and production represent critical aspects of offshore operations, vital for sustaining energy production and ensuring operational efficiency. However, these endeavors face numerous challenges, including the complexities of deepwater environments, harsh weather conditions, and the high costs associated with traditional maintenance methods. To address these challenges, this paper explores the integration of technological innovations and optimized work methods in subsea operations. Technological innovations play a pivotal role in revolutionizing subsea maintenance and production. Remote monitoring and control systems enable real-time data collection and decision-making, enhancing operational visibility and efficiency. Autonomous underwater vehicles (AUVs) offer the capability to conduct inspections and repairs in remote and hazardous environments, reducing human intervention and associated risks. Robotics and automation further streamline maintenance tasks, improving accuracy and reducing downtime. Advanced materials and coatings enhance equipment durability and corrosion resistance, prolonging asset lifecycles and reducing maintenance requirements. In parallel, optimized work methods offer strategic approaches to enhance subsea operations' effectiveness. Predictive maintenance strategies leverage data analytics and machine learning to anticipate equipment failures, enabling proactive interventions and minimizing downtime. Condition-based monitoring facilitates real-time assessment of asset health, enabling timely maintenance interventions and cost savings. Integrated asset management systems provide holistic insights into asset performance and facilitate informed decision-making. Lean operations and continuous improvement methodologies further optimize workflows, driving operational excellence and cost efficiency. Through case studies and industry examples, this paper highlights the successful implementation of technological innovations and optimized work methods in subsea maintenance and production. Furthermore, it explores future trends, regulatory considerations, and the importance of industry collaborations in shaping the future of subsea operations. Ultimately, the integration of these approaches offers a pathway towards enhanced operational efficiency, reduced costs, and sustainable subsea operations. Keywords: Technological Innovations, Optimized Work Methods, Subsea Maintenance and Production.

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Section: Optimized Work Methodsmentioning

confidence: 99%

Technological innovations and optimized work methods in subsea maintenance and production

Obinna Joshua Ochulor,

Oludayo Olatoye Sofoluwe,

Ayemere Ukato

et al. 2024

Eng. sci. technol. j.

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“…The integration of greenery into urban environments has been a subject of interest for architects, urban planners, and environmentalists seeking to create more sustainable and livable cities (Adeleke & Peter, 2021, Odedeyi, et. al., 2020.…”

Section: Literature Reviewmentioning

confidence: 99%

“…While existing literature provides valuable insights into the benefits, challenges, and implications of vertical greenery in urban design, there are several research gaps that warrant further investigation (Olowe & Kumarasamy, 2017. Many studies focus on the immediate environmental benefits of vertical greenery, such as air pollution reduction and temperature regulation (Adeleke, 2021. However, there is a lack of research on the long-term environmental impact of vertical greenery, including its contribution to biodiversity conservation and ecosystem services .…”

Section: Research Gapmentioning

confidence: 99%

Green architecture: Conceptualizing vertical greenery in urban design

Azubuike Chukwudi Okwandu,

Dorcas Oluwajuwonlo Akande,

Zamathula Queen Sikhakhane Nwokediegwu

2024

Eng. sci. technol. j.

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This executive summary introduces the concept paper on Green Architecture, focusing specifically on the integration of vertical greenery in urban design. Green architecture, characterized by sustainable design principles and environmental consciousness, aims to enhance urban environments by incorporating vegetation into built structures. Vertical greenery, a key component of green architecture, involves the strategic placement of vegetation on vertical surfaces such as walls, facades, and rooftops. This concept paper explores the potential of vertical greenery to mitigate environmental issues in urban areas, improve air quality, reduce the urban heat island effect, and enhance biodiversity. The paper proposes a conceptual framework for conceptualizing vertical greenery in urban design, emphasizing the importance of integrating natural elements into the built environment. It discusses various strategies for implementing vertical greenery, including the selection of suitable plant species, design considerations for irrigation and structural stability, and the incorporation of greenery into urban planning processes. Moreover, the concept paper highlights the social and economic benefits of vertical greenery, such as improved health and well-being for residents, increased property values, and enhanced aesthetics of urban spaces. It also emphasizes the role of stakeholder engagement, interdisciplinary collaboration, and ongoing monitoring and evaluation in the successful implementation of vertical greenery projects. In conclusion, this executive summary outlines the significance of incorporating vertical greenery into urban design practices as a means to promote sustainability, resilience, and livability in cities. By embracing the principles of green architecture and integrating vertical greenery into urban landscapes, cities can create healthier, more vibrant, and environmentally sustainable communities for current and future generations. Keywords: Urban, Design, Green, Architecture, Vertical.

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“…AI systems optimize the deployment of maintenance crews and resources by: Assigning tasks to maintenance crews based on skillsets, location, and availability. Planning the most efficient routes for maintenance crews to minimize travel time and maximize productivity (Qin et al, 2020;Adeleke and Peter, 2021). Ensuring that the necessary equipment, tools, and spare parts are available when needed.…”

Section: Role Of Ai In Optimizing Maintenance Logisticsmentioning

confidence: 99%

Optimizing maintenance logistics on offshore platforms with AI: Current strategies and future innovations

Ayemere Ukato,

Oludayo Olatoye Sofoluwe,

Dazok Donald Jambol

et al. 2024

World J. Adv. Res. Rev.

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Offshore platforms are vital assets for the oil and gas industry, serving as the primary facilities for exploration, extraction, and processing. Maintenance logistics plays a crucial role in ensuring these platforms operate efficiently and safely. However, the remote and harsh environments of offshore platforms present significant challenges for maintenance activities. Traditional maintenance strategies often struggle to meet the demands of these environments, leading to inefficiencies, increased costs, and potential safety risks. This review discusses the application of Artificial Intelligence (AI) in optimizing maintenance logistics on offshore platforms. Current strategies involve a combination of preventive, predictive, and corrective maintenance approaches. Preventive maintenance schedules regular inspections and replacements based on predetermined intervals, while predictive maintenance utilizes data analytics to predict equipment failures and plan maintenance activities accordingly. Corrective maintenance addresses issues as they arise, often in response to unexpected failures. AI offers opportunities to enhance these strategies by leveraging advanced data analytics, machine learning, and optimization algorithms. AI-enabled predictive maintenance can analyze vast amounts of data from sensors, historical maintenance records, and environmental factors to forecast equipment failures with greater accuracy. This allows for proactive maintenance planning, minimizing downtime and reducing maintenance costs. Furthermore, AI can optimize maintenance logistics by improving resource allocation and scheduling. Through real-time monitoring and analysis, AI systems can prioritize maintenance tasks based on urgency, equipment criticality, and resource availability. This ensures that maintenance crews are deployed efficiently, reducing idle time and improving overall productivity. Future innovations in AI for maintenance logistics on offshore platforms include the integration of Internet of Things (IoT) devices and autonomous systems. IoT sensors can provide real-time data on equipment condition and environmental factors, enabling more precise predictive maintenance models. Autonomous maintenance robots equipped with AI algorithms can perform routine inspections and minor repairs, reducing the need for human intervention in hazardous environments. However, implementing AI in offshore maintenance logistics also poses challenges, including data quality, cybersecurity, and workforce readiness. Ensuring data accuracy and reliability is crucial for effective AI models, requiring robust data collection and management processes. Cybersecurity measures must be strengthened to protect AI systems from malicious attacks that could disrupt operations or compromise safety. Additionally, workforce training and education are essential to prepare personnel for working alongside AI systems and interpreting AI-generated insights. Optimizing maintenance logistics on offshore platforms with AI offers significant benefits in terms of efficiency, cost savings, and safety. By leveraging AI technologies, current maintenance strategies can be enhanced, and future innovations can revolutionize offshore maintenance practices, making operations more sustainable and resilient in the face of evolving challenges.

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Effect of Nose Radius on Surface Roughness of Diamond Turned Germanium Lenses

Cited by 8 publications

References 8 publications

Technological innovations and optimized work methods in subsea maintenance and production

Technological innovations and optimized work methods in subsea maintenance and production

Green architecture: Conceptualizing vertical greenery in urban design

Optimizing maintenance logistics on offshore platforms with AI: Current strategies and future innovations

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