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.
Selim Sanad Shaker
Geopressure Analysis Services, United States
John W Sheffield
Purdue University, United States
Michael Radicone
Heat Transfer Research, Inc, United States
William Gothard
Ahmic Aerospace, United States
Guido Gabriel Piccone
ADNOC Onshore, United Arab Emirates
Andrey Yugay
ADNOC Onshore, United Arab Emirates
Pranay Asthana
Saudi Aramco, Saudi ArabiaSubmit your abstract Today
Title : New exploration technologies to keep the O&G industry competitive
Cleveland Jones, Fronteira Energia Ltda, Brazil
Title : Mature field evaluation and redevelopment case histories and lessons
Sharma Dronamraju, AKD Professional Solutions Inc., United States
Title : Transforming waste plastic into renewable hydrogen: A review of progress, challenges and future directions through pyrolysis, distillation and hydrotreatment process
Nur Hassan, Central Queensland University, Australia
Title : Introducing an innovative pinpoint stimulation technique aimed at enlarging the wellbore drainage area and boosting productivity from hard-to-recover formations
Abdulaziz Ahmad Jumaa, Kuwait Oil Company, Kuwait
Title : Bridging the gap between cement quality and bond integrity: Good Cement Quality Parameter (CQP) fails to deliver a reliable Cement Evaluation Log (CEL)
Noora Mohamed Al Breiki, ADNOC Onshore, United Arab Emirates
Title : Project complexity in oil & gas: The missing link between business case and execution
Tulio J Quijada, Saudi Aramco, Saudi Arabia