Prediction of Energy Production from Oil and Natural Gas with Artificial Neural Networks: The Example of Iraq

Authors

  • Hazhar Kareem Mahmood Business Management, Soran University Author

DOI:

https://doi.org/10.31918/twejer.2574.026

Keywords:

Natural gas, Oil, Artificial Neural Network

Abstract

Energy is an indispensable necessity for human life. Human life shows an energy-based development. This energy needs of developing societies tend to increase continuously due to demographic, social, and economic factors. Every society attempts to meet this increasing energy need by using certain resources. Iraq mostly uses natural gas and oil to meet its expanding energy needs. In this study, the amount of energy that Iraq will produce from oil and natural gas for ten years has been estimated by using the artificial neural network model, which is used in many fields due to its high estimation skills. The amount of energy produced from natural gas and oil in Iraq between 1972 and 2022 was taken as annual data. After training the data, the weights with the lowest error margin were determined, and the estimation was made. A different 10-year energy production estimate for natural gas and oil was created using the artificial neural network. Iraq is predicted to produce energy mostly by using fossil fuels such as oil and natural gas between 2023 and 2032. This study will be a helpful resource for the Iraqi government in shaping its future energy policy.

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Published

2025-01-15

Issue

Section

Original Articles (توێژینەوە)

How to Cite

Mahmood, Hazhar Kareem , trans. 2025. “Prediction of Energy Production from Oil and Natural Gas With Artificial Neural Networks: The Example of Iraq”. Twejer Journal 7 (4): 739-56. https://doi.org/10.31918/twejer.2574.026.

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