بررسی کاربرد هوش مصنوعی در زنجیره تامین نفت و گاز

نوع مقاله : ترویجی

نویسندگان

1 عضو هیئت علمی پژوهشگاه صنعت نفت، پژوهشکده توسعه فناوری های پالایش، تهران، ایران

2 پژوهشگاه صنعت نفت، پژوهشکده توسعه فناوری های پالایش، تهران، ایران

چکیده

هدف از این تحقیق بررسی کاربردهای هوش مصنوعی در صنعت نفت و همچنین پیشینه تحقیق در مدیریت و توسعه زنجیره تامین نفت و گاز می باشد. کاربرد هوش مصنوعی در سه بخش بالادستی، میان دستی و پایین دستی بررسی شد. نتایج حاصل از تجزیه و تحلیل انجام شده، ضرورت پیاده سازی هوش مصنوعی در صنعت نفت و گاز را نشان داد. علاوه بر این، توصیه‌های مختلفی برای مدیران فناوری، سیاست‌گذاران، متخصصان و رهبران در صنعت نفت و گاز برای اطمینان از اجرای موفقیت‌آمیز هوش مصنوعی ارائه شد. در نهایت، بر اساس تجزیه و تحلیل و بررسی، توصیه‌ها و جهت‌گیری‌های بالقوه کاربرد هوش مصنوعی در توسعه فرایندهای نفتی ارائه شد.

کلیدواژه‌ها


عنوان مقاله [English]

Investigating the artificial intelligence application in oil and gas supply chain

نویسندگان [English]

  • Ali Asghar Rouhani 1
  • Rezvan Mohammad Abadi 2
1 Member of scientific Board, Research Institute of Petroleum Industry, Tehran, Iran
2 Research Institute of Petroleum Industry, Tehran, Iran
چکیده [English]

The purpose of this research is to gain a better understanding of the application of artificial intelligence in the oil industry and the background of research in the management and development of the oil and gas supply chain. The use of artificial intelligence in important topics was investigated in three upstream, Midstream and downstream sections. The results of the analysis showed essential artificial intelligence implementation in the oil and gas industry. In addition, various recommendations were provided for technology managers, policy makers, professionals and leaders in the oil and gas industry to ensure the successful implementation of AI. Finally, based on the analysis and review, recommendations and potential directions for the application of artificial Intelligence in the oil field development were presented.

کلیدواژه‌ها [English]

  • Digital Transformation
  • Artificial Intelligence
  • Machine Vision
  • Big Data
  • Oil Industry
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