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

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.

Authors

Institutions

Publication Details

Journal
Physical Sciences Life Science and Engineering
Published
2025-04-08
DOI
https://doi.org/10.47134/pslse.v2i3.387
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Mohammed Al-Rubaye, Hassan Al-Fatlawi, Qaeser Khayoon
Physical Sciences Life Science and Engineering
Reservoir Engineering and Simulation Methods
article

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

Mohammed Al-Rubaye, Hassan Al-Fatlawi, Qaeser Khayoon
article en

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.

Physical Sciences Life Science and EngineeringVol. 2(3)
Directorate of Health (IS)
Openalex Percentile: Top 91%
Reservoir Engineering and Simulation Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Unveiling The Role of Artificial Intelligence In Optimizing Training And Development Strategies For The Oil Sector — Mohammed Al-Rubaye, Hassan Al-Fatlawi, et al. · Physical Sciences Life Science and Engineering (2025) | TGRS Research Map | TGRS