EVALUATING THE INTEGRATION OF ADVANCED IT SOLUTIONS FOR EMISSION REDUCTION IN THE OIL AND GAS SECTOR

ОЦЕНКА ИНТЕГРАЦИИ ПЕРЕДОВЫХ ИТ-РЕШЕНИЙ ДЛЯ СНИЖЕНИЯ ВЫБРОСОВ В НЕФТЕГАЗОВОМ СЕКТОРЕ
Chuka Anthony Arinze, Olakunle Abayomi Ajala, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Andrew Ifesinachi Daraojimba
2024-03-10

Artificial Intelligence (AI)Big Data analyticsInternet of Things (IoT)emission reductionoil 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.
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AI-based predictive maintenance improves equipment performance and helps minimize emissions from fugitive sources.
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Big Data analytics enable comprehensive emissions tracking and reporting, supporting proactive emissions-management strategies.
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Case studies identify implementation benefits, challenges, and best practices, while emission metrics assess effects on CO2e emissions and energy efficiency.
4
IoT-enabled sensors support real-time operational monitoring and optimization, reducing emissions from oil and gas production processes.
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The study evaluates advanced IT solutions for reducing greenhouse-gas emissions in the oil and gas sector using literature review, case studies, and quantitative data analysis.

oil and gas sector operations

the effectiveness of integrating advanced IT solutions for reducing greenhouse-gas emissions, including CO2e emissions and energy-efficiency improvements

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2024-03-10
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Chuka Anthony Arinze
Olakunle Abayomi Ajala
Chinwe Chinazo Okoye
Onyeka Chrisanctus Ofodile
Andrew Ifesinachi Daraojimba
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