Application of artificial intelligence and machine learning in optimizing oil and gas extraction

The oil and gas industry faces numerous challenges, including price fluctuations, operational complexities, and the need to optimize production processes. In the meantime, the use of new technologies such as artificial intelligence and machine learning can be considered as a solution to improve the accuracy of forecasts and increase productivity. The aim of this study is to investigate the effectiveness of artificial intelligence models in forecasting production and optimizing operations in oil fields. Also, the economic evaluation of the use of these technologies in reducing costs and increasing profitability is another objective of this study. In this study, various artificial intelligence and machine learning models have been used to simulate and predict production in oil fields. Data related to different fields have been collected and analyzed, and the models have been evaluated using various accuracy criteria. The results show that artificial intelligence models have high accuracy in predicting production with an error rate of less than ۳%. Also, the use of these models has led to a ۲۵% reduction in operating costs and a ۲۱.۴% increase in production efficiency. The use of artificial intelligence in the oil and gas industry has not only increased the accuracy of forecasts, but also contributed to economic and operational improvements. These results indicate the high potential of these technologies to transform the oil and gas industry.

کلیدواژه ها:

Artificial intelligence ، machine learning ، production forecasting ، optimization ، oil and gas industry ، cost reduction ، increased productivity