The Effect of Using (AI) Programs to Find the Increasing Production in Oil and Gas

Authors

  • Naeima Aeiad Hamad Alarifi Department of Information Technology for Oil and Gas, Higher Institute of Engineering Technologies, Benghazi, Libya Author

DOI:

https://doi.org/10.65421/jibas.v2i1.76

Keywords:

PIPSM, EOR, Simulation, Oil & Gas Programs, Increasing Production

Abstract

This paper deals with the study of the oil industry have embraced digital transformation, leveraging software to further boost production efficiency. Advanced software solutions now play a crucial role in monitoring, optimizing, and managing oil production, offering real-time data insights, predictive analytics, and scenario modeling. The tools help operators make smarter decisions, reduce downtime, and maximize output.

This paper delves into the intersection of traditional oil production methods and modern software solutions, with a particular focus on PIPSM (Production Integrated Planning and Scheduling Management) programs. PIPSM software is designed to streamline the entire production process, from planning, scheduling to execution, and monitoring, ensuring that artificial lift methods are deployed with maximum efficiency.

Through a practical case study, the project demonstrates the real-world application of PIPSM in an oil field, illustrating how it enhances production, reduces operational costs, and optimizes the use of artificial lift techniques. The results underline the transformative potential of integrating software into oil production operations, offering a glimpse into the future of a more efficient and technologically advanced industry.

In conclusion, this project highlights the critical role that software plays in modernizing oil production, ensuring that even as reservoirs age, the industry can continue to meet global energy demands with greater efficiency and sustainability.

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Published

2026-03-15

Issue

Section

Articles

How to Cite

The Effect of Using (AI) Programs to Find the Increasing Production in Oil and Gas . (2026). Journal of Insights in Basic and Applied Sciences, 2(1), 321-333. https://doi.org/10.65421/jibas.v2i1.76