How oil and gas industry are transforming with AI and ML

The Oil and Gas Industry is witnessing a major transformation due to the advent of Artificial Intelligence (AI) and Machine Learning (ML). These advances are changing operations by making things work better, cheaper and safer. Companies are using Artificial intelligence and Machine Learning to analyze large data points generated due to exploration, production and distribution activities which generate actionable insights leading to data driven decision making. AI and ML techniques for exploration, well placement optimization such as mount point selection or drilling parameters suggest based on geological data analysis including a historical performance. Using data in a real-time and predictive manner, manufacturing plants can catch early signs of equipment issues such as rising temperature encouraging proactive measures to be taken which reduces downtime and maintenance costs. Furthermore, reservoir management, hydrocarbon extraction and energy efficiency are optimized via AI-based optimization strategies.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2024-09-14
DOI
https://doi.org/10.30574/wjarr.2024.23.3.2722
Citations
3
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
1.01
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article

How oil and gas industry are transforming with AI and ML

Ganesh Shankar Gowekar
3 citations
World Journal of Advanced Research and Reviews
Reservoir Engineering and Simulation Methods
1.01
article

How oil and gas industry are transforming with AI and ML

Ganesh Shankar Gowekar
article en
3 citations

Abstract

The Oil and Gas Industry is witnessing a major transformation due to the advent of Artificial Intelligence (AI) and Machine Learning (ML). These advances are changing operations by making things work better, cheaper and safer. Companies are using Artificial intelligence and Machine Learning to analyze large data points generated due to exploration, production and distribution activities which generate actionable insights leading to data driven decision making. AI and ML techniques for exploration, well placement optimization such as mount point selection or drilling parameters suggest based on geological data analysis including a historical performance. Using data in a real-time and predictive manner, manufacturing plants can catch early signs of equipment issues such as rising temperature encouraging proactive measures to be taken which reduces downtime and maintenance costs. Furthermore, reservoir management, hydrocarbon extraction and energy efficiency are optimized via AI-based optimization strategies.

World Journal of Advanced Research and ReviewsVol. 23(3)
Openalex Percentile: Top 25%
Reservoir Engineering and Simulation Methods
1.01
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How oil and gas industry are transforming with AI and ML — Ganesh Shankar Gowekar · World Journal of Advanced Research and Reviews (2024) | TGRS Research Map | TGRS