Artificial Intelligence in the Oil and Gas Industry

All industries are adopting new technologies to operate more efficiently and gain competitive advantages. The oil and gas sector is no exception, with multiple applications of artificial intelligence enhancing business management and production processes.

According to 2020 survey data, over 90% of respondents claimed that their company used advanced technologies such as remote monitoring, IoT, AI, robotic process automation, and others. The global AI market in oil and gas was valued at approximately 2.04 billion US dollars in 2019, with companies testing contemporary technologies to increase efficiency and revenue.

AI provides oil and gas businesses the ability to make predictions about market changes and access complex data for exploration and production more effectively. Advanced analytics and predictions enable organizations to foresee market volatility and prevent potential negative impacts.

Key benefits of AI implementation

Benefits include reducing business risks across market changes, investments, and employee safety; improving production, management, and marketing efficiency; cutting operational costs; enhancing customer communication; better product quality control; and supporting data-driven decision-making.

Major AI and ML use cases

AI-based analytics tools support decision-making and real-time data examination, reducing exploration risks through specialized robotic systems. Quality control solutions analyze production data to identify defects and monitor employee safety compliance. Machine operation optimization tools monitor equipment-generated data to detect damage and optimize energy consumption.

Emission tracking solutions help companies achieve net-zero targets by monitoring greenhouse gas releases from pipelines and equipment. Supply management software leverages automation for procurement decisions, identifies supply chain bottlenecks, and enables purchase-to-pay automation.