Oil and Algorithms: How Artificial Intelligence turns Data into Energy

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Abstract

The article explores the application of Artificial intelligence in the oil industry, focusing on the transformation of data into new energy sources. Artificial intelligence is used to optimize oil extraction and refining processes, contributing to increased productivity, reduced costs, and enhanced safety. The implementation of innovative algorithms, such as machine learning and the Internet of Things, significantly improves forecasting accuracy, the identification of hidden patterns, and process automation. These technologies help effectively manage risks, minimize costs, and accelerate operations, while also enhancing environmental sustainability. Artificial intelligence promotes the rational use of natural resources and reduces environmental impact, improving both economic and environmental performance of oil companies. Overall, the use of Artificial intelligence in the oil industry opens up new opportunities for more efficient and environmentally friendly production, making processes more sustainable in the long term. 

About the authors

Aigerim B. Seitimbetova

Karaganda Buketov University

Email: sab.buketov.2022@gmail.com
ORCID iD: 0009-0000-8755-7992
Kazakhstan, Karaganda

Alevtina S. Shulgina-Tarachshuk

Karaganda Buketov University

Author for correspondence.
Email: alevtinash79@mail.ru
ORCID iD: 0009-0000-4759-9389
Kazakhstan, Karaganda

Aizhan S. Smailova

Karaganda Buketov University

Email: smailova.buketov@gmail.com
ORCID iD: 0000-0003-2936-0336
Kazakhstan, Karaganda

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Supplementary files

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2. Figure 1. Program

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3. Figure 2. Actual vs. Predicted Oil Output

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4. Figure 3. Visualization of Pressure, Temperature and Oil Output

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Copyright (c) 2025 Seitimbetova A.B., Shulgina-Tarachshuk A.S., Smailova A.S.

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