Digital transformation in oil and gas production
سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 5
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شناسه ملی سند علمی:
ITCT25_071
تاریخ نمایه سازی: 11 اردیبهشت 1404
چکیده مقاله:
Digital transformation is reshaping the oil and gas industry, driving efficiency improvements and cost reductions across its operational landscape. Artificial intelligence is also rapidly becoming a key enabler of transformation and innovation in the oil and gas industry. With its advanced capabilities in data analysis, forecasting and process optimization, this technology helps oil and gas companies increase their productivity, reduce costs and improve safety. From production forecasting and optimization of extraction operations to predictive maintenance of equipment and improvement of exploration processes, AI plays a vital role in this industry. This paper explores the profound impact of digital technologies such as automation, IoT, big data analytics, AI, and machine learning. These technologies optimize exploration, drilling, production, and maintenance processes by enabling real-time monitoring, predictive maintenance, and data-driven decision-making. Key benefits include enhanced operational efficiency through streamlined processes, reduced downtime, and optimized resource utilization. Digital twins and AI-driven analytics are pivotal in prolonging asset lifespan, improving safety protocols, and minimizing operational risks.
کلیدواژه ها:
Digital transformation ، Oil and gas industry ، Artificial Intelligence ، Machine Learning Techniques ، Digital twins
نویسندگان
Seyed Mohammad Hossein Bakhshayesh
BSc in Petroleum Engineering, Fouman Faculty of Engineering, College of Engineering, University of Tehran, Iran
Atefeh Hasan-Zadeh
Fouman Faculty of Engineering, College of Engineering, University of Tehran, Iran