Chuka Anthony Arinze, Olakunle Abayomi Ajala, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Andrew Ifesinachi Daraojimba
{"title":"评估石油和天然气行业减排先进 IT 解决方案的整合情况","authors":"Chuka Anthony Arinze, Olakunle Abayomi Ajala, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Andrew Ifesinachi Daraojimba","doi":"10.51594/estj.v5i3.862","DOIUrl":null,"url":null,"abstract":"The oil and gas sector is a significant contributor to greenhouse gas emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates the effectiveness of integrating advanced IT solutions in mitigating emissions within the oil and gas industry. The research employs a mixed-methods approach, combining qualitative analysis through literature review and quantitative analysis via case studies and data analysis. The literature review identifies various advanced IT solutions currently available, such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, and their potential applications for emission reduction in the oil and gas sector. Case studies are conducted to examine real-world implementations of these solutions by leading companies in the industry. These case studies provide insights into the challenges, benefits, and best practices associated with integrating advanced IT solutions for emission reduction. Furthermore, quantitative data analysis is conducted to assess the environmental impact of these IT solutions based on emission reduction metrics, such as carbon dioxide equivalent (CO2e) emissions and energy efficiency improvements. The findings indicate that the integration of advanced IT solutions holds significant promise for emission reduction in the oil and gas sector. IoT-enabled sensors enable real-time monitoring and optimization of operations, reducing emissions from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance and minimizing emissions from fugitive sources. Big Data analytics facilitate comprehensive emissions tracking and reporting, enabling proactive emissions management strategies. Overall, this research contributes to a deeper understanding of the potential of advanced IT solutions in reducing emissions in the oil and gas sector and provides valuable insights for industry practitioners, policymakers, and researchers alike. \nKeywords: IT, Emission, Reduction, Oil and Gas, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"12 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EVALUATING THE INTEGRATION OF ADVANCED IT SOLUTIONS FOR EMISSION REDUCTION IN THE OIL AND GAS SECTOR\",\"authors\":\"Chuka Anthony Arinze, Olakunle Abayomi Ajala, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Andrew Ifesinachi Daraojimba\",\"doi\":\"10.51594/estj.v5i3.862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The oil and gas sector is a significant contributor to greenhouse gas emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates the effectiveness of integrating advanced IT solutions in mitigating emissions within the oil and gas industry. The research employs a mixed-methods approach, combining qualitative analysis through literature review and quantitative analysis via case studies and data analysis. The literature review identifies various advanced IT solutions currently available, such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, and their potential applications for emission reduction in the oil and gas sector. Case studies are conducted to examine real-world implementations of these solutions by leading companies in the industry. These case studies provide insights into the challenges, benefits, and best practices associated with integrating advanced IT solutions for emission reduction. Furthermore, quantitative data analysis is conducted to assess the environmental impact of these IT solutions based on emission reduction metrics, such as carbon dioxide equivalent (CO2e) emissions and energy efficiency improvements. The findings indicate that the integration of advanced IT solutions holds significant promise for emission reduction in the oil and gas sector. IoT-enabled sensors enable real-time monitoring and optimization of operations, reducing emissions from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance and minimizing emissions from fugitive sources. Big Data analytics facilitate comprehensive emissions tracking and reporting, enabling proactive emissions management strategies. Overall, this research contributes to a deeper understanding of the potential of advanced IT solutions in reducing emissions in the oil and gas sector and provides valuable insights for industry practitioners, policymakers, and researchers alike. \\nKeywords: IT, Emission, Reduction, Oil and Gas, Review.\",\"PeriodicalId\":113413,\"journal\":{\"name\":\"Engineering Science & Technology Journal\",\"volume\":\"12 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Science & Technology Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51594/estj.v5i3.862\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Science & Technology Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51594/estj.v5i3.862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
石油和天然气行业是温室气体排放的重要来源,因此整合先进的 IT 解决方案对于减少排放势在必行。本研究评估了整合先进 IT 解决方案在减少石油和天然气行业排放方面的有效性。研究采用混合方法,通过文献综述结合定性分析,通过案例研究和数据分析结合定量分析。文献综述确定了目前可用的各种先进 IT 解决方案,如物联网 (IoT)、人工智能 (AI) 和大数据分析,以及它们在石油和天然气行业减排中的潜在应用。本报告还进行了案例研究,以考察业内领先企业在现实世界中实施这些解决方案的情况。通过这些案例研究,我们可以深入了解与整合先进 IT 解决方案促进减排相关的挑战、益处和最佳实践。此外,还进行了定量数据分析,根据二氧化碳当量(CO2e)排放和能效提高等减排指标,评估这些 IT 解决方案对环境的影响。研究结果表明,先进信息技术解决方案的集成为石油和天然气行业的减排带来了巨大希望。物联网传感器可实现实时监控和优化操作,减少生产过程中的排放。人工智能算法加强了预测性维护,优化了设备性能,最大限度地减少了逃逸源的排放。大数据分析有助于进行全面的排放跟踪和报告,从而实现积极主动的排放管理策略。总之,这项研究有助于深入了解先进信息技术解决方案在减少石油天然气行业排放方面的潜力,并为行业从业人员、政策制定者和研究人员提供有价值的见解。关键词信息技术 减排 石油天然气 评论
EVALUATING THE INTEGRATION OF ADVANCED IT SOLUTIONS FOR EMISSION REDUCTION IN THE OIL AND GAS SECTOR
The oil and gas sector is a significant contributor to greenhouse gas emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates the effectiveness of integrating advanced IT solutions in mitigating emissions within the oil and gas industry. The research employs a mixed-methods approach, combining qualitative analysis through literature review and quantitative analysis via case studies and data analysis. The literature review identifies various advanced IT solutions currently available, such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, and their potential applications for emission reduction in the oil and gas sector. Case studies are conducted to examine real-world implementations of these solutions by leading companies in the industry. These case studies provide insights into the challenges, benefits, and best practices associated with integrating advanced IT solutions for emission reduction. Furthermore, quantitative data analysis is conducted to assess the environmental impact of these IT solutions based on emission reduction metrics, such as carbon dioxide equivalent (CO2e) emissions and energy efficiency improvements. The findings indicate that the integration of advanced IT solutions holds significant promise for emission reduction in the oil and gas sector. IoT-enabled sensors enable real-time monitoring and optimization of operations, reducing emissions from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance and minimizing emissions from fugitive sources. Big Data analytics facilitate comprehensive emissions tracking and reporting, enabling proactive emissions management strategies. Overall, this research contributes to a deeper understanding of the potential of advanced IT solutions in reducing emissions in the oil and gas sector and provides valuable insights for industry practitioners, policymakers, and researchers alike.
Keywords: IT, Emission, Reduction, Oil and Gas, Review.