Artificial Intelligence & Big Data Analytics in Oil & Gas

Data-driven decision-making is reshaping artificial intelligence & big data analytics in oil & gas, optimizing operations and minimizing environmental impact. Machine learning algorithms are enhancing seismic data interpretation, improving reservoir management, and predicting equipment failures before breakdowns occur. Predictive analytics is reducing downtime in refineries and drilling operations, while AI-driven process control is improving efficiency and reducing energy consumption. Big data integration is facilitating real-time monitoring of pipelines and offshore platforms, ensuring safety and regulatory compliance. The integration of cloud computing and edge analytics is further enhancing operational efficiency. AI-based automation is expected to play a pivotal role in optimizing oilfield production while reducing emissions.

Committee Members
Speaker at Oil, Gas and Petroleum Engineering 2026 - Selim Sanad Shaker

Selim Sanad Shaker

Geopressure Analysis Services, United States
Speaker at Oil, Gas and Petroleum Engineering 2026 - Saim Memon

Saim Memon

Sanyou London Pvt Ltd, United Kingdom
Speaker at Oil, Gas and Petroleum Engineering 2026 - Nur Hassan

Nur Hassan

Central Queensland University, Australia
GOPE 2026 Speakers
Speaker at Oil and Gas Conferences - Selim Sanad Shaker

Selim Sanad Shaker

Geopressure Analysis Services, United States
Speaker at Petroleum Conferences - Nur Hassan

Nur Hassan

Central Queensland University, Australia
Speaker at Petroleum Conferences - Matthew Godfrey

Matthew Godfrey

Enventure Global Technology, United States
Speaker at Petroleum Engineering Conferences - Barbara Diaz

Barbara Diaz

Automa Srl, Italy
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