ISSN 2472-0518

Oil & Gas Research
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  • Short Communication   
  • Oil Gas Res 11: 391,
  • DOI: 10.4172/2472-0518.1000391

Exploring the Deep: The Role of Robotics and Automation in Offshore Drilling

Duel Rahim*
College of Management, University of Massachusetts Boston, United States
*Corresponding Author : Duel Rahim, College of Management, University of Massachusetts Boston, United States, Email: duelrahim@gmail.com

Received Date: Jan 01, 2025 / Published Date: Jan 31, 2025

Abstract

The integration of robotics and automation in offshore drilling has revolutionized deep-sea exploration, enhancing efficiency, safety, and environmental sustainability. Advanced robotic systems, including remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), and robotic drilling platforms, are now essential for conducting operations in extreme deepwater environments. These technologies enable precise wellbore placement, realtime monitoring, and automated maintenance, reducing human exposure to hazardous conditions and minimizing operational risks. Automation in offshore drilling has also improved predictive maintenance, drilling accuracy, and cost-effectiveness through the use of artificial intelligence (AI), machine learning (ML), and digital twin simulations. However, challenges such as high initial costs, integration complexities, and cyber security threats must be addressed to fully optimize robotic applications in deep-sea drilling. This paper explores recent advancements in offshore drilling automation, examining the role of robotics in enhancing operational efficiency, ensuring safety, and supporting sustainable resource extraction in deepwater environments.

Citation: Duel R (2025) Exploring the Deep: The Role of Robotics and Automation in Offshore Drilling. Oil Gas Res 11: 391. Doi: 10.4172/2472-0518.1000391

Copyright: © 2025 Duel R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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