Artificial intelligence and machine learning techniques and big data methods and tools in the oil and gas industry

The oil and gas industry continuously generates extensive data during various operational phases. Recording and effective use of this data has become necessary to make accurate and timely decisions. Predictive and inferential data analytics now play a vital role in optimizing these decisions. Despite many challenges, the adoption of data-driven methods in this industry is expanding dramatically. Advances in artificial intelligence (AI) and machine learning (ML) have made it possible to solve complex problems by combining historical and real-time data to increase productivity. This paper reviews recent methods and techniques in the applications of AI and ML to extract valuable insights from large data sets, spanning activities from crude oil exploration to product distribution. It also examines the growing adoption of these methods and their potential to shape the future of the industry. The findings provide a technical basis for selecting appropriate technologies in order to make the most of the huge amount of data generated in the oil and gas industry.

کلیدواژه ها:

Artificial intelligence ، Machine learning ، Big data analytics ، Oil and gas industry