Oil & Gas

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Use advanced capabilities like AI and machine learning to leverage data insights and capture energy transition growth opportunities.

• Visualize reservoir simulations to increase drilling hit rates using high-performance computing (HPC).
• Improve decision making and reservoir production using IoT drilling sensors and advanced analytics.
• Manage and extend asset lifecycles with predictive maintenance using Azure IoT Solution Accelerators.

Orchestrate stable, end-to-end management of supply and demand of diverse energy sources with a foundation of highly secure devices and cloud innovation.

• Upgrade your electrical grid using digital twins for distributed energy resources, device controls, and predictive forecasting.
• Drive employee productivity and safety through automated operations powered by machine learning.

 Shape the future of energy with innovations to expand your market positioning, increase growth opportunities, and create new business models. 

• Reduce energy consumption and preserve natural resources: Deliver social and economic impact by leveraging AI to conserve energy and preserve natural resources through smart energy management of commercial and consumer demand, connected vehicles, smart cities, buildings, and homes.

• Shape energy balance with innovations in buildings, factories, vehicles, and homes: Translate the digital feedback loop from connected homes, vehicles, and smart cities to reduce energy consumption and develop new energy service offerings for commercial energy customers, prosumers, and consumers.

Attract, train, and retain employees for your next-generation workforce by equipping them with the skills and technologies to drive your transformation into a sustainable energy operator and service provider.

• Connect empowered technicians with distributed assets: Use team collaboration software to remotely troubleshoot and resolve issues so you only dispatch technicians when necessary. Empower technicians with information, tools, technologies, and remote expert assistance for a first-time fix. Automate and improve scheduling to dispatch the right technician to get the most value out of your assets.

• Redefine training and skills transfer to overcome skills gaps: Boost employee retention and productivity across the value chain by augmenting people with team collaboration tools, intelligent mixed-reality devices, IoT-enabled machines, and AI-enhanced applications to keep pace with increased operational, maintenance, and process complexity.

Enhance energy conservation and energy efficiency. Increase reliability and energy conversion, reducing variability of your operations and environmental impact while generating value for stakeholders.

• Reduce emissions and process variability: Improve production and distribution reliability through condition monitoring, predictive maintenance, and digital twins to reduce OPEX, CAPEX, and emissions.

• Increase effectiveness of existing energy sources: Apply hyperscale cloud, AI, and IoT to energy recovery, production, generation, and distribution operations to increase efficiency of energy supply.

Achieve net-zero commitments through emissions reductions, grid decarbonization, and renewable energy optimization.

• Invest in a cleaner energy future: Use hyperscale cloud, AI, and digital platforms to improve carbon capture and storage and deliver renewable and sustainable energy sources and low-/zero-carbon resources that customers want.

• Manage distributed energy resources to power the future: Deliver reliable and increasingly sustainable energy, using digital platforms to improve load balancing and integrate distributed energy resource.