Artificial Intelligence Research Directions in Oil and Gas Industries

In the modern world, Artificial intelligence (AI) is one of the most important general-purpose technologies which rapidly transform industries, creating significant potential for innovations and growth. It coincides with the exponential growth of AI capabilities and the Oil and Gas industry's movement toward the industrial revolution 4.0 concept, whose core goal is to achieve higher value by utilizing advanced digital technologies. Oil and gas applications are directly influential to every country's growth and have been seen with the ease of transportation at both the global and local levels. The applications and scope of AI in the oil and gas industry are to optimize upstream operations (exploration, drilling, reservoir, and production), midstream operations (transportation using pipelines, ships, and road vehicles), and downstream operations (production of refinery products like fuels, lubricants, and petroleum products). Its additional operational capabilities include strengthening the modelling of reservoirs, fault detection, risk analysis, reservoir stability and maintenance prevention. Another essential implementation of AI in the Oil and Gas industry is detecting anomalies; it helps locate patterns and forestall failures based on the relationship between real-time readings. Finally, the implementation of AI in the Oil and Gas industry is rapidly growing and is currently being used in intelligent drilling, reservoir modelling, feasibility analysis, accident prevention, refinery operations optimization, etc.

Biography

Dr. Rosdiazli Ibrahim is an Associate Professor at the Electrical & Electronics Engineering Department, Universiti Teknologi PETRONAS, Malaysia. He started his career as an Engineer at Sony (V) Sdn. Bhd. and subsequently served PETRONAS Fertilizer Kedah Sdn. Bhd. as an Instrument Engineer prior to joining Universiti Teknologi PETRONAS (UTP) in 1999. He has held the post of Head of Department, Dean of Centre for Graduate Studies and is now the Dean for Faculty of Engineering. He is a senior member of IEEE (SMIEEE) and a registered Professional Engineer from Board of Engineers Malaysia. He is actively involved in research works focusing in Artificial Intelligence, Intelligent Control, Condition Monitoring and Fault Diagnosis and Wireless Control.