Abstract
In recent years, artificial intelligence (AI) and automation have become integral parts of the oil and gas industry, unlocking new opportunities to enhance efficiency, safety, and process resilience. AI technologies significantly improve exploration, extraction, processing, and transportation of hydrocarbons, while also enhancing forecasting accuracy and risk management. Automation optimizes production processes, reduces costs, and minimizes human error. This paper explores the key applications of AI and automation in the oil and gas sector, such as prediction and optimization of extraction, safety improvement, risk management, as well as the use of robotic systems and digital twins. Special attention is given to the implementation of intelligent data analytics systems, market trend forecasting, and the industry’s sustainable development. The adoption of these technologies allows oil and gas companies to increase competitiveness, improve environmental sustainability, and minimize operational risks. The paper also presents examples of successful implementations and the challenges faced by companies during their digital transformation.