Forecasting Convergence of Artificial Intelligence and Drilling Technologies Using Link Prediction Method

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

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.

Language:
Persian
Published:
Journal of Technology Development Management, Volume:12 Issue: 2, 2024
Pages:
42 to 71
https://www.magiran.com/p2837528