نوع مقاله : مقاله پژوهشی
نویسندگان
1 عضو هیئت علمی دانشکده مدیریت صنعتی و فناوری دانشگاه تهران
2 دانشجوی دکتری دانشکده مدیریت صنعتی و فناوری دانشگاه تهران
3 دانشکده مهندسی شیمی، نفت و گاز، دانشگاه علم و صنعت ایران، تهران، ایران
4 دانشیار- دانشکده مدیریت - دانشگاه تهران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
With the emergence of digital technologies and their significant impacts on various industries such as the petroleum industry, their convergence in these industries and forecasting this convergence have always been questioned. This article attempts to forecast the convergence of artificial intelligence and drilling as digital and petroleum technologies. To address this topic, the patent data of these two technological areas were collected from a valid patent database and the co-occurrence network of these two technologies was created. The convergence of the sub-technologies of these two technologies was forecasted by using the link prediction method. Findings indicate that machine learning, computer vision, and robotics, as sub-technologies of artificial intelligence, have a broader application in different parts of drilling operations, and their growth and convergence are anticipated.
کلیدواژه‌ها [English]
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