Engineering Science & Technology Journal最新文献

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}

{"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}