Artificial intelligence (AI) is a transformative force in the oil and gas industry, reshaping the sector and attracting scholarly attention. This study reviews a substantial body of published work on AI applications in the oilfield industry. As AI evolves, it is expected to enhance operational efficiency, optimize resource management, and drive innovation. Key trends include advanced predictive analytics for exploration, innovative drilling techniques, and improved safety measures, all contributing to a more sustainable energy sector. Machine learning, a subset of deep learning, utilizes artificial neural networks to model complex data. These techniques yield significant insights from large datasets without human intervention in this industry. This review highlights various machine learning applications in petroleum engineering, focusing on reservoir, drilling, and production engineering. It also notes the growing integration of these technologies in the field.