Physical Sciences, Life Science and Engineering
Vol. 2 No. 3 (2025): June

Unveiling The Role of Artificial Intelligence In Optimizing Training And Development Strategies For The Oil Sector

Al-Fatlawi, Hassan (Unknown)
Khayoon, Qaeser (Unknown)
Al-Rubaye, Mohammed (Unknown)



Article Info

Publish Date
08 Apr 2025

Abstract

This study investigates at how artificial intelligence, or simulated intelligence, is helping the oil and Gas industry improve its methods for training and development. As the companies deal with growing challenges and technological obstacles, enhancing personnel capabilities becomes essential for realistic growth and operational efficiency. This study sheds light on how computer-based intelligence-driven systems provide personalized training modules, tailored learning experiences, and ongoing performance evaluations by means of a thorough investigation of simulated intelligence applications, such as machine learning, natural language processing, and predictive analysis. Oil and gas companies may control artificial intelligence to bridge capability gaps, enhance security protocols, and streamline workflows. This research also looks at the potential challenges and ethical considerations associated with the use of simulated intelligence in training and development initiatives. In general, the oil industry can adapt to changing market needs and foster a culture of continuous learning by adopting computer-based intelligence advancements, ensuring a skilled and adaptable workforce for any challenges that may arise in the future.

Copyrights © 2025






Journal Info

Abbrev

pslse

Publisher

Subject

Humanities Engineering Physics Social Sciences

Description

Explore the Physical Sciences, Life Science and Engineering. This section accommodates research papers that aim to present the practical aspects of certain theoretical hypotheses reflected through empirical approach to problemsolving, systematic methodology that guarantee the validity of research ...