Augusta Heavens Ikevuje, David Chinalu Anaba, Uche Thankgod Iheanyichukwu
Offshore oil and gas operations are inherently complex, requiring a strategic approach to asset life cycle management to ensure efficiency, safety, and environmental sustainability. This review explores the use of advanced materials in deepwater asset management, highlighting their role in enhancing operational performance and longevity. The review begins by discussing the challenges associated with deepwater operations, including harsh environmental conditions, high pressures, and corrosive fluids. These challenges necessitate the use of advanced materials that can withstand such conditions while maintaining structural integrity and operational efficiency. The review then outlines the strategic approach to asset life cycle management, emphasizing the importance of integrating advanced materials into design, construction, and maintenance processes. This approach includes the selection of materials based on their performance characteristics, compatibility with existing infrastructure, and cost-effectiveness. Furthermore, the review discusses the benefits of using advanced materials in deepwater asset management, including improved corrosion resistance, enhanced structural strength, and reduced maintenance requirements. These benefits translate into increased operational uptime, reduced downtime for repairs, and overall cost savings. Finally, the review concludes by highlighting the importance of collaboration between industry stakeholders, including operators, manufacturers, and research institutions, to drive innovation in advanced materials and deepwater asset management. By embracing a strategic approach and leveraging advanced materials, offshore oil and gas operations can achieve higher levels of efficiency, safety, and sustainability. Keywords: Advanced Materials, Deepwater Asset, Strategic Approach, Life Cycle Management, Oil and Gas Operations.
{"title":"Advanced materials and deepwater asset life cycle management: A strategic approach for enhancing offshore oil and gas operations","authors":"Augusta Heavens Ikevuje, David Chinalu Anaba, Uche Thankgod Iheanyichukwu","doi":"10.51594/estj.v5i7.1310","DOIUrl":"https://doi.org/10.51594/estj.v5i7.1310","url":null,"abstract":"Offshore oil and gas operations are inherently complex, requiring a strategic approach to asset life cycle management to ensure efficiency, safety, and environmental sustainability. This review explores the use of advanced materials in deepwater asset management, highlighting their role in enhancing operational performance and longevity. The review begins by discussing the challenges associated with deepwater operations, including harsh environmental conditions, high pressures, and corrosive fluids. These challenges necessitate the use of advanced materials that can withstand such conditions while maintaining structural integrity and operational efficiency. The review then outlines the strategic approach to asset life cycle management, emphasizing the importance of integrating advanced materials into design, construction, and maintenance processes. This approach includes the selection of materials based on their performance characteristics, compatibility with existing infrastructure, and cost-effectiveness. Furthermore, the review discusses the benefits of using advanced materials in deepwater asset management, including improved corrosion resistance, enhanced structural strength, and reduced maintenance requirements. These benefits translate into increased operational uptime, reduced downtime for repairs, and overall cost savings. Finally, the review concludes by highlighting the importance of collaboration between industry stakeholders, including operators, manufacturers, and research institutions, to drive innovation in advanced materials and deepwater asset management. By embracing a strategic approach and leveraging advanced materials, offshore oil and gas operations can achieve higher levels of efficiency, safety, and sustainability. \u0000Keywords: Advanced Materials, Deepwater Asset, Strategic Approach, Life Cycle Management, Oil and Gas Operations.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Advancements in project management methodologies have revolutionized the way organizations execute complex projects, aiming for optimal outcomes amidst evolving challenges and dynamic environments. This paper explores the integration of Agile and Waterfall approaches as a strategic response to enhance project effectiveness and efficiency. Traditionally, Waterfall methodology has been predominant in industries requiring structured planning and predictable outcomes. Its sequential phases—requirements gathering, design, implementation, testing, and deployment—ensure a methodical progression from initiation to completion. However, its rigidity in accommodating changes during the project lifecycle has been a notable limitation in fast-paced industries where flexibility and rapid adaptation are paramount. In contrast, Agile methodology emerged as a transformative alternative, particularly suited for projects with uncertain or evolving requirements. Agile emphasizes iterative development cycles, continuous stakeholder engagement, and adaptive planning. These principles enable teams to respond swiftly to changes, deliver incremental value, and maintain high levels of transparency and collaboration throughout the project. Recognizing the strengths of both methodologies, practitioners have increasingly advocated for their integration—a hybrid approach that harnesses the structured planning of Waterfall with the adaptive flexibility of Agile. This integration allows organizations to capitalize on Waterfall's clarity in project scope and deliverables while leveraging Agile's responsiveness to customer feedback and evolving market demands. Key challenges in integrating these methodologies include reconciling differences in project planning, managing stakeholder expectations across iterative cycles, and aligning team dynamics to embrace a blended approach. Effective integration strategies often involve clear delineation of phases suitable for Waterfall and Agile, fostering a culture of collaboration and continuous improvement, and utilizing project management tools that support hybrid methodologies. Successful case studies illustrate the benefits of this integrated approach, including accelerated time-to-market, improved product quality, enhanced stakeholder satisfaction, and optimized resource allocation. Moreover, organizations that adopt hybrid methodologies demonstrate resilience in navigating uncertainties and complexities, positioning themselves competitively in dynamic markets. In conclusion, the integration of Agile and Waterfall methodologies represents a paradigm shift in project management, offering a holistic framework that balances structured planning with adaptive execution. As industries continue to evolve, embracing hybrid approaches promises to drive innovation, improve project outcomes, and sustain long-term organizational success. Keywords: Advancement, Project Management, Methodologies, Integrating Agile, Waterfall Approaches.
{"title":"Advancements in project management methodologies: Integrating agile and waterfall approaches for optimal outcomes","authors":"Osemeike Gloria Eyieyien, Courage Idemudia, Patience Okpeke Paul, Tochukwu Ignatius Ijomah","doi":"10.51594/estj.v5i7.1312","DOIUrl":"https://doi.org/10.51594/estj.v5i7.1312","url":null,"abstract":"Advancements in project management methodologies have revolutionized the way organizations execute complex projects, aiming for optimal outcomes amidst evolving challenges and dynamic environments. This paper explores the integration of Agile and Waterfall approaches as a strategic response to enhance project effectiveness and efficiency. Traditionally, Waterfall methodology has been predominant in industries requiring structured planning and predictable outcomes. Its sequential phases—requirements gathering, design, implementation, testing, and deployment—ensure a methodical progression from initiation to completion. However, its rigidity in accommodating changes during the project lifecycle has been a notable limitation in fast-paced industries where flexibility and rapid adaptation are paramount. In contrast, Agile methodology emerged as a transformative alternative, particularly suited for projects with uncertain or evolving requirements. Agile emphasizes iterative development cycles, continuous stakeholder engagement, and adaptive planning. These principles enable teams to respond swiftly to changes, deliver incremental value, and maintain high levels of transparency and collaboration throughout the project. Recognizing the strengths of both methodologies, practitioners have increasingly advocated for their integration—a hybrid approach that harnesses the structured planning of Waterfall with the adaptive flexibility of Agile. This integration allows organizations to capitalize on Waterfall's clarity in project scope and deliverables while leveraging Agile's responsiveness to customer feedback and evolving market demands. Key challenges in integrating these methodologies include reconciling differences in project planning, managing stakeholder expectations across iterative cycles, and aligning team dynamics to embrace a blended approach. Effective integration strategies often involve clear delineation of phases suitable for Waterfall and Agile, fostering a culture of collaboration and continuous improvement, and utilizing project management tools that support hybrid methodologies. Successful case studies illustrate the benefits of this integrated approach, including accelerated time-to-market, improved product quality, enhanced stakeholder satisfaction, and optimized resource allocation. Moreover, organizations that adopt hybrid methodologies demonstrate resilience in navigating uncertainties and complexities, positioning themselves competitively in dynamic markets. In conclusion, the integration of Agile and Waterfall methodologies represents a paradigm shift in project management, offering a holistic framework that balances structured planning with adaptive execution. As industries continue to evolve, embracing hybrid approaches promises to drive innovation, improve project outcomes, and sustain long-term organizational success. \u0000Keywords: Advancement, Project Management, Methodologies, Integrating Agile, Waterfall Approaches.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ikponmwosa Aiguobarueghian, Uwaga Monica Adanma, Eseoghene Kupa
This study provides a comprehensive review of the emergence of biodegradable plastics as a paradigm shift in materials science, aiming to assess their development, implementation, and impact on environmental conservation and sustainable development. Employing a systematic literature review and content analysis methodology, the research scrutinizes academic databases and industry reports to explore the technological innovations, environmental benefits, and challenges associated with biodegradable plastics. The inclusion and exclusion criteria ensure a focused examination of peer-reviewed articles, highlighting advancements in biopolymer formulations, regulatory frameworks, and stakeholder perspectives. Key findings reveal that biodegradable plastics offer significant potential for reducing plastic pollution and mitigating climate change impacts due to their renewable origins and compostability. However, challenges such as technical limitations, higher production costs, and the need for specialized waste management infrastructure hinder their widespread adoption. The study underscores the importance of developing standardized biodegradation protocols, investing in research and development, enhancing waste management systems, and educating stakeholders to overcome these barriers. Conclusively, biodegradable plastics represent a promising avenue towards sustainable materials management, provided that concerted efforts are made to address the existing challenges. Strategic recommendations include fostering public-private partnerships, improving material properties, and implementing supportive policies to enhance the role of bioplastics in environmental preservation. Future research should focus on innovating bioplastic technologies and exploring effective strategies for their integration into the circular economy. Keywords: Biodegradable Plastics, Environmental Conservation, Sustainable Development, Waste Management.
{"title":"Impact of biodegradable plastics on U.S. environmental conservation: A comprehensive review, exploring the effectiveness, challenges, and broader implications of bioplastics in waste management and eco-preservation","authors":"Ikponmwosa Aiguobarueghian, Uwaga Monica Adanma, Eseoghene Kupa","doi":"10.51594/estj.v5i7.1309","DOIUrl":"https://doi.org/10.51594/estj.v5i7.1309","url":null,"abstract":"This study provides a comprehensive review of the emergence of biodegradable plastics as a paradigm shift in materials science, aiming to assess their development, implementation, and impact on environmental conservation and sustainable development. Employing a systematic literature review and content analysis methodology, the research scrutinizes academic databases and industry reports to explore the technological innovations, environmental benefits, and challenges associated with biodegradable plastics. The inclusion and exclusion criteria ensure a focused examination of peer-reviewed articles, highlighting advancements in biopolymer formulations, regulatory frameworks, and stakeholder perspectives. Key findings reveal that biodegradable plastics offer significant potential for reducing plastic pollution and mitigating climate change impacts due to their renewable origins and compostability. However, challenges such as technical limitations, higher production costs, and the need for specialized waste management infrastructure hinder their widespread adoption. The study underscores the importance of developing standardized biodegradation protocols, investing in research and development, enhancing waste management systems, and educating stakeholders to overcome these barriers. Conclusively, biodegradable plastics represent a promising avenue towards sustainable materials management, provided that concerted efforts are made to address the existing challenges. Strategic recommendations include fostering public-private partnerships, improving material properties, and implementing supportive policies to enhance the role of bioplastics in environmental preservation. Future research should focus on innovating bioplastic technologies and exploring effective strategies for their integration into the circular economy. \u0000Keywords: Biodegradable Plastics, Environmental Conservation, Sustainable Development, Waste Management.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":" 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samuel O. Olorunkoya, Oluwatobi Fijabi, Mercy O. Ogbo, Tobi S. Olugbola
Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful analytical tool that has significantly advanced the understanding of cattle metabolism. Nuclear Magnetic Resonance (NMR) spectroscopy plays a pivotal role in the study of cattle metabolism, offering distinct advantages over other spectrometric methods. NMR spectroscopy is a powerful analytical tool that provides detailed molecular insights by exploiting the magnetic properties of atomic nuclei. Unlike mass spectrometry and infrared spectroscopy, NMR does not require extensive sample preparation or destruction, preserving the integrity of biological samples. This non-invasive nature is particularly beneficial for longitudinal studies in cattle, where metabolic changes over time are of interest. One of the key strengths of NMR spectroscopy is its ability to simultaneously detect and quantify a broad range of metabolites in complex biological matrices, such as blood, urine, and tissue extracts. This comprehensive metabolic profiling is crucial for understanding the biochemical pathways and physiological states in cattle. NMR's high reproducibility and quantitative accuracy further enhance its suitability for metabolic studies, enabling precise monitoring of metabolic fluctuations in response to dietary changes, environmental stressors, or disease conditions. NMR spectroscopy also offers unique advantages in elucidating structural information about metabolites. Through multidimensional NMR techniques, researchers can determine the molecular structure and conformation of metabolites, providing deeper insights into metabolic functions and interactions. This structural elucidation is often challenging with other spectrometric methods, which may lack the resolution or require derivatization of samples. Moreover, NMR spectroscopy's non-destructive nature allows for the analysis of living tissues and in vivo studies, facilitating real-time monitoring of metabolic processes. This capability is instrumental in studying dynamic metabolic responses and adaptations in cattle under different physiological states. Additionally, the development of advanced NMR techniques, such as high-resolution magic angle spinning (HR-MAS) and hyperpolarization, has further expanded the scope of NMR applications in metabolic research. NMR spectroscopy stands out as a superior method for studying cattle metabolism due to its non-destructive approach, comprehensive metabolic profiling, structural elucidation capabilities, and potential for in vivo analysis. These advantages make NMR an indispensable tool in advancing our understanding of cattle metabolism and improving livestock health and productivity. Keywords: Nuclear Magnetic Resonance (NMR), Cattles, Metabolomics.
{"title":"The role of Nuclear Magnetic Resonance (NMR) spectroscopy in cattle metabolism","authors":"Samuel O. Olorunkoya, Oluwatobi Fijabi, Mercy O. Ogbo, Tobi S. Olugbola","doi":"10.51594/estj.v5i7.1307","DOIUrl":"https://doi.org/10.51594/estj.v5i7.1307","url":null,"abstract":"Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful analytical tool that has significantly advanced the understanding of cattle metabolism. Nuclear Magnetic Resonance (NMR) spectroscopy plays a pivotal role in the study of cattle metabolism, offering distinct advantages over other spectrometric methods. NMR spectroscopy is a powerful analytical tool that provides detailed molecular insights by exploiting the magnetic properties of atomic nuclei. Unlike mass spectrometry and infrared spectroscopy, NMR does not require extensive sample preparation or destruction, preserving the integrity of biological samples. This non-invasive nature is particularly beneficial for longitudinal studies in cattle, where metabolic changes over time are of interest. One of the key strengths of NMR spectroscopy is its ability to simultaneously detect and quantify a broad range of metabolites in complex biological matrices, such as blood, urine, and tissue extracts. This comprehensive metabolic profiling is crucial for understanding the biochemical pathways and physiological states in cattle. NMR's high reproducibility and quantitative accuracy further enhance its suitability for metabolic studies, enabling precise monitoring of metabolic fluctuations in response to dietary changes, environmental stressors, or disease conditions. NMR spectroscopy also offers unique advantages in elucidating structural information about metabolites. Through multidimensional NMR techniques, researchers can determine the molecular structure and conformation of metabolites, providing deeper insights into metabolic functions and interactions. This structural elucidation is often challenging with other spectrometric methods, which may lack the resolution or require derivatization of samples. Moreover, NMR spectroscopy's non-destructive nature allows for the analysis of living tissues and in vivo studies, facilitating real-time monitoring of metabolic processes. This capability is instrumental in studying dynamic metabolic responses and adaptations in cattle under different physiological states. Additionally, the development of advanced NMR techniques, such as high-resolution magic angle spinning (HR-MAS) and hyperpolarization, has further expanded the scope of NMR applications in metabolic research. NMR spectroscopy stands out as a superior method for studying cattle metabolism due to its non-destructive approach, comprehensive metabolic profiling, structural elucidation capabilities, and potential for in vivo analysis. These advantages make NMR an indispensable tool in advancing our understanding of cattle metabolism and improving livestock health and productivity. \u0000Keywords: Nuclear Magnetic Resonance (NMR), Cattles, Metabolomics.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"2 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samuel O. Olorunkoya, Oluwatobi Fijabi, Oluseyi V. Alagbe, Mowumi Olatinwo
Nutrigenomics, the study of the interaction between nutrition and genes, presents a transformative approach to enhancing feed efficiency in cattle. This field leverages genetic insights to optimize dietary formulations, aiming to improve nutrient utilization and overall productivity. With the global demand for meat and dairy products rising, increasing feed efficiency is critical for economic viability and environmental sustainability in the livestock industry. The role of nutrigenomics in cattle feed efficiency encompasses several key areas. Precision nutrition is one of the foremost opportunities, enabling the design of diets tailored to the genetic profiles of individual animals. This personalized approach can significantly enhance nutrient absorption and reduce feed costs. Additionally, nutrigenomics can inform selective breeding programs, identifying genetic markers associated with superior feed efficiency traits. By breeding cattle with these desirable traits, farmers can achieve herds that require less feed to produce the same amount of meat or milk, thereby improving profitability and reducing environmental impact. The gestation period in cattle, typically around 283 days, is critical for breeding management. Proper timing ensures optimal calving intervals and productivity. Monitoring gestation aids in anticipating calving dates, ensuring adequate nutrition, health care, and minimizing complications, thereby enhancing overall herd fertility and efficiency. However, the implementation of nutrigenomics faces several challenges. Practical challenges include integrating genetic data into everyday farming practices and ensuring farmers are adequately trained. Ethical and regulatory concerns also arise, particularly regarding genetic modifications and the acceptance of such technologies by consumers and regulators. Moreover, initial investments in nutrigenomic technologies and potential market barriers may hinder widespread adoption. Current research and case studies demonstrate the potential of nutrigenomics to revolutionize cattle feed efficiency. Successful applications in various regions highlight both the feasibility and benefits of this approach. Future advancements in genomic technologies, coupled with collaborative efforts between industry and academia, are expected to overcome existing challenges. Policy support and funding will be crucial in facilitating this transition. Harnessing nutrigenomics for feed efficiency in cattle offers promising opportunities but requires addressing significant challenges. The integration of genetic insights into nutrition and breeding practices stands to enhance livestock productivity, economic gains, and environmental sustainability, paving the way for a more efficient and sustainable livestock industry. Keywords: Nutrigenomics, Feed efficiency, Genetic markers, Cattles,
{"title":"Harnessing the role of nutrigenomics for feed efficiency utilization in cattle: Opportunities and challenges","authors":"Samuel O. Olorunkoya, Oluwatobi Fijabi, Oluseyi V. Alagbe, Mowumi Olatinwo","doi":"10.51594/estj.v5i7.1308","DOIUrl":"https://doi.org/10.51594/estj.v5i7.1308","url":null,"abstract":"Nutrigenomics, the study of the interaction between nutrition and genes, presents a transformative approach to enhancing feed efficiency in cattle. This field leverages genetic insights to optimize dietary formulations, aiming to improve nutrient utilization and overall productivity. With the global demand for meat and dairy products rising, increasing feed efficiency is critical for economic viability and environmental sustainability in the livestock industry. The role of nutrigenomics in cattle feed efficiency encompasses several key areas. Precision nutrition is one of the foremost opportunities, enabling the design of diets tailored to the genetic profiles of individual animals. This personalized approach can significantly enhance nutrient absorption and reduce feed costs. Additionally, nutrigenomics can inform selective breeding programs, identifying genetic markers associated with superior feed efficiency traits. By breeding cattle with these desirable traits, farmers can achieve herds that require less feed to produce the same amount of meat or milk, thereby improving profitability and reducing environmental impact. The gestation period in cattle, typically around 283 days, is critical for breeding management. Proper timing ensures optimal calving intervals and productivity. Monitoring gestation aids in anticipating calving dates, ensuring adequate nutrition, health care, and minimizing complications, thereby enhancing overall herd fertility and efficiency. However, the implementation of nutrigenomics faces several challenges. Practical challenges include integrating genetic data into everyday farming practices and ensuring farmers are adequately trained. Ethical and regulatory concerns also arise, particularly regarding genetic modifications and the acceptance of such technologies by consumers and regulators. Moreover, initial investments in nutrigenomic technologies and potential market barriers may hinder widespread adoption. Current research and case studies demonstrate the potential of nutrigenomics to revolutionize cattle feed efficiency. Successful applications in various regions highlight both the feasibility and benefits of this approach. Future advancements in genomic technologies, coupled with collaborative efforts between industry and academia, are expected to overcome existing challenges. Policy support and funding will be crucial in facilitating this transition. Harnessing nutrigenomics for feed efficiency in cattle offers promising opportunities but requires addressing significant challenges. The integration of genetic insights into nutrition and breeding practices stands to enhance livestock productivity, economic gains, and environmental sustainability, paving the way for a more efficient and sustainable livestock industry. \u0000Keywords: Nutrigenomics, Feed efficiency, Genetic markers, Cattles,","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"10 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The reliability of road infrastructure is vital for the advancement of the economy, ensuring safety, and promoting societal welfare. Road networks in Nigeria are crucial for transportation, trade, and connection. Nevertheless, the nation's roadways encounter a multitude of obstacles, such as substandard upkeep, insufficient infrastructure, and environmental influences. In order to tackle these problems, there is an increasing focus on deploying sophisticated maintenance procedures with the goal of improving the dependability and longevity of roads. This study article thoroughly evaluates several tactics aimed at enhancing the dependability of Nigerian roads by implementing sophisticated maintenance procedures. The study examines the present condition of road infrastructure in Nigeria, analyzes typical obstacles in maintenance, and assesses inventive strategies for maintenance and restoration. This paper seeks to offer valuable insights into effective strategies for improving road reliability in Nigeria by conducting a thorough examination of existing literature, case studies, and global best practices. The ultimate goal is to contribute to the sustainable development of transportation infrastructure in the country. Keywords: Road Maintenance, Reliability Improvement, Advanced Techniques, Nigerian Roads, Infrastructure, Sustainability.
{"title":"Optimizing Nigerian road reliability by defining poor road causes, maintenance strategies, and application","authors":"Joel Leonard, Faith Abimaje","doi":"10.51594/estj.v5i7.1290","DOIUrl":"https://doi.org/10.51594/estj.v5i7.1290","url":null,"abstract":"The reliability of road infrastructure is vital for the advancement of the economy, ensuring safety, and promoting societal welfare. Road networks in Nigeria are crucial for transportation, trade, and connection. Nevertheless, the nation's roadways encounter a multitude of obstacles, such as substandard upkeep, insufficient infrastructure, and environmental influences. In order to tackle these problems, there is an increasing focus on deploying sophisticated maintenance procedures with the goal of improving the dependability and longevity of roads. This study article thoroughly evaluates several tactics aimed at enhancing the dependability of Nigerian roads by implementing sophisticated maintenance procedures. The study examines the present condition of road infrastructure in Nigeria, analyzes typical obstacles in maintenance, and assesses inventive strategies for maintenance and restoration. This paper seeks to offer valuable insights into effective strategies for improving road reliability in Nigeria by conducting a thorough examination of existing literature, case studies, and global best practices. The ultimate goal is to contribute to the sustainable development of transportation infrastructure in the country. \u0000Keywords: Road Maintenance, Reliability Improvement, Advanced Techniques, Nigerian Roads, Infrastructure, Sustainability.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"84 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141655691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kelvin Edem Bassey, Ayanwunmi Rebecca Juliet, Akindipe O. Stephen
As the global push towards renewable energy intensifies, it becomes imperative to comprehensively assess the environmental impacts and sustainability of renewable energy systems throughout their operational lifecycle. Traditional lifecycle assessment (LCA) methods, while useful, often fall short in handling the complex, dynamic data associated with renewable energy systems. This study explores the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance lifecycle assessments of wind, solar, and green hydrogen energy systems, aiming to provide more accurate, efficient, and comprehensive evaluations. AI-driven LCA models leverage extensive datasets from various stages of the lifecycle of renewable energy systems, including raw material extraction, manufacturing, installation, operation, maintenance, and decommissioning. By employing ML algorithms, these models can identify patterns and relationships within the data, predict potential environmental impacts, and provide insights into sustainability performance over time. The research focuses on developing and validating ML models that incorporate diverse data inputs such as material usage, energy consumption, emissions, and waste generation. These models are trained using historical data from multiple renewable energy projects and are capable of adapting to new data inputs, ensuring continuous improvement in assessment accuracy. Key findings demonstrate that AI-enhanced LCA models significantly improve the precision and depth of environmental impact assessments. For wind energy systems, ML models help in predicting turbine lifespan and maintenance needs, thereby optimizing resource use and minimizing environmental footprints. In solar energy systems, AI techniques assist in forecasting degradation rates and energy yield, contributing to more sustainable design and operation. For green hydrogen production, ML models optimize the electrolysis process and assess the overall sustainability of hydrogen supply chains. The integration of AI in LCA facilitates real-time monitoring and dynamic adjustments, ensuring that renewable energy systems operate at peak sustainability. This approach not only enhances the environmental performance of individual systems but also supports strategic decision-making in renewable energy deployment and policy development. In conclusion, the application of AI and ML techniques in lifecycle assessment offers a transformative approach to evaluating the environmental impact and sustainability of renewable energy systems. This research underscores the critical role of advanced analytics in advancing the global transition to sustainable energy and calls for further exploration and adoption of AI-driven LCA methodologies. Keywords: Machine Learning, Renewable Energy Systems, Environmental Impact, Sustainability, AI-Enhanced Lifecycle.
随着全球对可再生能源的大力推广，全面评估可再生能源系统在整个运行生命周期中对环境的影响和可持续性已成为当务之急。传统的生命周期评估（LCA）方法虽然有用，但往往无法处理与可再生能源系统相关的复杂动态数据。本研究探讨了人工智能（AI）和机器学习（ML）技术在加强风能、太阳能和绿色氢能系统生命周期评估中的应用，旨在提供更准确、高效和全面的评估。人工智能驱动的生命周期评估模型利用了可再生能源系统生命周期各个阶段的大量数据集，包括原材料提取、制造、安装、运行、维护和退役。通过采用 ML 算法，这些模型可以识别数据中的模式和关系，预测潜在的环境影响，并深入了解随着时间推移的可持续性表现。研究的重点是开发和验证包含各种数据输入（如材料使用、能源消耗、排放和废物产生）的 ML 模型。这些模型使用来自多个可再生能源项目的历史数据进行训练，能够适应新的数据输入，确保不断提高评估的准确性。主要研究结果表明，人工智能增强型生命周期评估模型大大提高了环境影响评估的精度和深度。对于风能系统，人工智能模型有助于预测涡轮机的使用寿命和维护需求，从而优化资源利用，最大限度地减少对环境的影响。在太阳能系统中，人工智能技术有助于预测降解率和能源产量，从而促进更可持续的设计和运行。在绿色制氢方面，ML 模型可以优化电解过程，评估氢供应链的整体可持续性。将人工智能融入生命周期评估有助于实时监控和动态调整，确保可再生能源系统以最高的可持续性运行。这种方法不仅能提高单个系统的环境绩效，还能支持可再生能源部署和政策制定方面的战略决策。总之，在生命周期评估中应用人工智能和 ML 技术为评估可再生能源系统的环境影响和可持续性提供了一种变革性方法。这项研究强调了先进分析技术在推动全球向可持续能源过渡中的关键作用，并呼吁进一步探索和采用人工智能驱动的生命周期评估方法。关键词机器学习、可再生能源系统、环境影响、可持续性、人工智能增强生命周期。
{"title":"AI-Enhanced lifecycle assessment of renewable energy systems","authors":"Kelvin Edem Bassey, Ayanwunmi Rebecca Juliet, Akindipe O. Stephen","doi":"10.51594/estj.v5i7.1254","DOIUrl":"https://doi.org/10.51594/estj.v5i7.1254","url":null,"abstract":"As the global push towards renewable energy intensifies, it becomes imperative to comprehensively assess the environmental impacts and sustainability of renewable energy systems throughout their operational lifecycle. Traditional lifecycle assessment (LCA) methods, while useful, often fall short in handling the complex, dynamic data associated with renewable energy systems. This study explores the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance lifecycle assessments of wind, solar, and green hydrogen energy systems, aiming to provide more accurate, efficient, and comprehensive evaluations. AI-driven LCA models leverage extensive datasets from various stages of the lifecycle of renewable energy systems, including raw material extraction, manufacturing, installation, operation, maintenance, and decommissioning. By employing ML algorithms, these models can identify patterns and relationships within the data, predict potential environmental impacts, and provide insights into sustainability performance over time. The research focuses on developing and validating ML models that incorporate diverse data inputs such as material usage, energy consumption, emissions, and waste generation. These models are trained using historical data from multiple renewable energy projects and are capable of adapting to new data inputs, ensuring continuous improvement in assessment accuracy. Key findings demonstrate that AI-enhanced LCA models significantly improve the precision and depth of environmental impact assessments. For wind energy systems, ML models help in predicting turbine lifespan and maintenance needs, thereby optimizing resource use and minimizing environmental footprints. In solar energy systems, AI techniques assist in forecasting degradation rates and energy yield, contributing to more sustainable design and operation. For green hydrogen production, ML models optimize the electrolysis process and assess the overall sustainability of hydrogen supply chains. The integration of AI in LCA facilitates real-time monitoring and dynamic adjustments, ensuring that renewable energy systems operate at peak sustainability. This approach not only enhances the environmental performance of individual systems but also supports strategic decision-making in renewable energy deployment and policy development. In conclusion, the application of AI and ML techniques in lifecycle assessment offers a transformative approach to evaluating the environmental impact and sustainability of renewable energy systems. This research underscores the critical role of advanced analytics in advancing the global transition to sustainable energy and calls for further exploration and adoption of AI-driven LCA methodologies. \u0000Keywords: Machine Learning, Renewable Energy Systems, Environmental Impact, Sustainability, AI-Enhanced Lifecycle.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"52 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141689625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This review paper provides an extensive analysis of the synthesis, characterization, and multifaceted biological applications of metal complexes and nanocomposites derived from a diverse array of biopolymeric ligands. These ligands, including chitosan, 2-hydroxybenzaldehyde, and 4-aminopyridine imine, among others, have shown remarkable potential due to their biocompatibility, biodegradability, and functional versatility. The review delves into various synthetic strategies, including conventional and green synthesis approaches, and highlights advanced characterization techniques such as spectroscopy, microscopy, thermal analysis, and X-ray diffraction. Emphasizing the broad spectrum of biological activities exhibited by these compounds, the review covers antimicrobial, anticancer, antioxidant, enzyme inhibition, and drug delivery applications. By synthesizing current research and identifying key challenges and future directions, this review aims to provide valuable insights for researchers in medicinal chemistry, materials science, biotechnology, and related fields. Keywords: Metal Complexes, Nanocomposites, Synthesis, Characterization, Biological Application.
本综述论文广泛分析了由各种生物聚合物配体衍生的金属复合物和纳米复合材料的合成、表征和多方面生物应用。这些配体包括壳聚糖、2-羟基苯甲醛和 4-氨基吡啶亚胺等，因其生物相容性、生物可降解性和功能多样性而显示出巨大的潜力。综述深入探讨了各种合成策略，包括传统和绿色合成方法，并重点介绍了光谱学、显微镜、热分析和 X 射线衍射等先进表征技术。该综述强调这些化合物具有广泛的生物活性，涵盖了抗菌、抗癌、抗氧化、酶抑制和药物递送应用。通过综合当前的研究并确定关键挑战和未来方向，本综述旨在为药物化学、材料科学、生物技术及相关领域的研究人员提供有价值的见解。关键词金属复合物 纳米复合材料 合成 表征 生物应用
{"title":"Comprehensive review of metal complexes and nanocomposites: Synthesis, characterization, and multifaceted biological applications","authors":"Emmanuel Olurotimi Ogunbiyi, Eseoghene Kupa, Uwaga Monica Adanma, Nko Okina Solomon","doi":"10.51594/estj.v5i6.1215","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1215","url":null,"abstract":"This review paper provides an extensive analysis of the synthesis, characterization, and multifaceted biological applications of metal complexes and nanocomposites derived from a diverse array of biopolymeric ligands. These ligands, including chitosan, 2-hydroxybenzaldehyde, and 4-aminopyridine imine, among others, have shown remarkable potential due to their biocompatibility, biodegradability, and functional versatility. The review delves into various synthetic strategies, including conventional and green synthesis approaches, and highlights advanced characterization techniques such as spectroscopy, microscopy, thermal analysis, and X-ray diffraction. Emphasizing the broad spectrum of biological activities exhibited by these compounds, the review covers antimicrobial, anticancer, antioxidant, enzyme inhibition, and drug delivery applications. By synthesizing current research and identifying key challenges and future directions, this review aims to provide valuable insights for researchers in medicinal chemistry, materials science, biotechnology, and related fields. \u0000Keywords: Metal Complexes, Nanocomposites, Synthesis, Characterization, Biological Application.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrew Emuobosa Esiri, Olusile Akinyele Babayeju, Ifeanyi Onyedika Ekemezie
This review paper explores advancements in remote sensing technologies for oil spill detection and response, focusing on policy frameworks, implementation strategies, and prospects. It examines historical context, current technologies, and policy frameworks at international and national levels. Strategies for integrating remote sensing technologies, enhancing collaboration, and building capacity are discussed. Recommendations for policy enhancements to support technology adoption and promote sustainability are provided. Prospects include emerging technologies like enhanced satellite imaging, autonomous systems, and sensor fusion. Overall, effective implementation of remote sensing technologies can improve oil spill detection, minimise environmental impact, and enhance response efforts. Keywords: Oil Spill Detection, Remote Sensing Technologies, Policy Frameworks, Sustainability.
{"title":"Advancements in remote sensing technologies for oil spill detection: Policy and implementation","authors":"Andrew Emuobosa Esiri, Olusile Akinyele Babayeju, Ifeanyi Onyedika Ekemezie","doi":"10.51594/estj.v5i6.1219","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1219","url":null,"abstract":"This review paper explores advancements in remote sensing technologies for oil spill detection and response, focusing on policy frameworks, implementation strategies, and prospects. It examines historical context, current technologies, and policy frameworks at international and national levels. Strategies for integrating remote sensing technologies, enhancing collaboration, and building capacity are discussed. Recommendations for policy enhancements to support technology adoption and promote sustainability are provided. Prospects include emerging technologies like enhanced satellite imaging, autonomous systems, and sensor fusion. Overall, effective implementation of remote sensing technologies can improve oil spill detection, minimise environmental impact, and enhance response efforts. \u0000Keywords: Oil Spill Detection, Remote Sensing Technologies, Policy Frameworks, Sustainability.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"37 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrew Emuobosa Esiri, Oludayo Olatoye Sofoluwe, Ayemere Ukato
This review paper explores the policy requirements, implementation strategies, challenges, and future directions of digital twin technology in the oil and gas industry. It discusses the regulatory framework, data governance, compliance, safety, and intellectual property considerations essential for successful integration. Implementation strategies encompass strategic planning, technological integration, skills development, and change management. Challenges such as data accuracy, interoperability, cost implications, regulatory compliance, and ethical concerns are analysed. Future trends, including advanced analytics, edge computing, IoT integration, and developing a digital twin ecosystem, are discussed. By addressing these aspects, organisations can leverage digital twin technology to enhance efficiency, safety, and sustainability in oil and gas operations. Keywords: Digital Twin Technology, Oil And Gas Industry, Policy Requirements, Implementation Strategies, Challenges
{"title":"Digital twin technology in oil and gas infrastructure: Policy requirements and implementation strategies","authors":"Andrew Emuobosa Esiri, Oludayo Olatoye Sofoluwe, Ayemere Ukato","doi":"10.51594/estj.v5i6.1221","DOIUrl":"https://doi.org/10.51594/estj.v5i6.1221","url":null,"abstract":"This review paper explores the policy requirements, implementation strategies, challenges, and future directions of digital twin technology in the oil and gas industry. It discusses the regulatory framework, data governance, compliance, safety, and intellectual property considerations essential for successful integration. Implementation strategies encompass strategic planning, technological integration, skills development, and change management. Challenges such as data accuracy, interoperability, cost implications, regulatory compliance, and ethical concerns are analysed. Future trends, including advanced analytics, edge computing, IoT integration, and developing a digital twin ecosystem, are discussed. By addressing these aspects, organisations can leverage digital twin technology to enhance efficiency, safety, and sustainability in oil and gas operations. \u0000Keywords: Digital Twin Technology, Oil And Gas Industry, Policy Requirements, Implementation Strategies, Challenges","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"62 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141348263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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