Fueling the Future of Digital Transformation

Chevron is implementing artificial intelligence (AI) on an industrial scale to transform how energy is produced. This journey is aligning upstream, midstream, and downstream activities as well as adapting the oil and gas enterprise for sustainable operations.

In a Business Lab podcast hosted by MIT Technology Review, Luis Niño, digital manager, technology ventures and innovations, Chevron shares insights into digital transformation.

Key Takeaways

Industrial AI

AI has the potential to transform the oil and gas business in an industrial and manufacturing context. AI can be a transformation catalyst across predictive maintenance, subsurface analytics, and process automation as well as finance, law, procurement, and human resources.

Responsible AI

Data across the oil and gas enterprise should be contextualized and governed to ensure the integrity of business and operational processes. A centralized enterprise AI organization should be established to develop responsible AI frameworks for training and adoption.

AI for Upstream

AI offers a broad spectrum of use cases for exploration. During subsurface analysis, AI enables optimized model development of hydrocarbon reservoirs. It helps forecast geomechanical models to make sense of data from fiber optic sensing for preventive maintenance of pipelines.

Cloud Strategy

An AI-first oil and gas enterprise needs to strike the right balance of cloud, hybrid, and edge computing. For instance, at an offshore oil rig, edge computing is imperative for low latency and real-time data processing to make prompt and informed decisions.