TechCapsules

AI-summarised brief · reviewed before publication

Chevron, a 150-year-old energy giant, is revolutionizing its data processing with artificial intelligence (AI). The company is leveraging AI to improve its drilling operations, which involves processing petabytes of critical data in the cloud. At the VB Transform event, Steve Bowman, GM for enterprise AI at Chevron, emphasized the importance of data in accelerating AI use cases. Chevron has taken a significant step in modernizing and standardizing its cloud-based tools through a project called 'Triple Crown', launched in 2019. In collaboration with Microsoft and oilfield services company SLB, Chevron has developed Azure-native apps to process, visualize, interpret, and gain meaningful insights from multiple data sources. The DELFI* cognitive exploration and production (E&P) tool covers exploration, development, production, and midstream environments. Chevron, a $250 billion energy giant with thousands of employees across 180 countries, has an enormous amount of data at its disposal. While the company has robust systems of record, it has historically struggled with large amounts of unstructured data scattered across various share points. Over the years, Chevron has developed great algorithms that have been run at a small scale on-premises. However, there is a growing need to scale up these algorithms to run more efficiently in the cloud. By doing so, Chevron can significantly expand its operational scope. By migrating to the cloud, Chevron has achieved a remarkable ROI. The company has reduced its processing time from 30 days to just 1 day. This acceleration has enabled Chevron to analyze larger areas, such as the entire Gulf of Mexico or Gulf of America, rather than being limited to a single three-mile-by-three-mile block.