Oil and Gas
Run upstream, midstream and downstream with precise control.
Operational intelligence increases the demands on IT infrastructure
OT/IT convergence introduces new dependencies
Connecting rigs, pipelines and refineries to cloud and digital systems requires careful segmentation, sovereignty controls and clear operational boundaries.
Fragmented systems limit operational visibility
SCADA, historians and maintenance systems often sit in silos, leaving teams with less real-time context and more time spent assembling reports.
Field data faces compute and residency constraints
Upstream assets generate data that’s hard to process on site, and residency rules limit where it can move for AI and analytics.
Cross-domain OT and cloud expertise is hard to scale
Teams need people who can secure industrial networks, run hybrid platforms and build ML models, a mix that’s hard to hire and keep.
miles of US gas pipeline
swing in Brent crude prices
Years of Rackspace
Solutions
Run critical oil and gas workloads with more control
Connect OT and IT with greater operational control
Extend cloud and AI capabilities across drilling, pipeline and refinery environments with governed private cloud and hardened OT/IT segmentation designed to protect production uptime and maintain clear operational boundaries.
Accelerate field and subsurface analysis
Bring edge compute, HPC and GPU-enabled infrastructure closer to rigs, pads, compressor stations and refineries to support seismic processing, reservoir modeling, sovereign AI operations and production-scale inferencing.
Extend scarce OT and cloud expertise
Rackspace engineers operate hybrid platforms around the clock and build data and AI capabilities alongside your operations teams, so specialists stay focused on production.
Support audit-ready emissions and pipeline safety
Pair Rubrik-backed cyber recovery with structured reporting frameworks designed to support audit-ready documentation aligned to EPA Subpart W and PHMSA’s Advanced Leak Detection and Repair rule.
AI in OIL And Gas
Oil and gas AI requires controlled infrastructure
AI is moving closer to day-to-day oil and gas operations, where it can inform drilling, safety, forecasting and asset performance. That puts different demands on the infrastructure beneath it, including low-latency access to operational data, strong OT/IT boundaries, data residency controls and governance that extends from edge environments to centralized platforms.
Computer vision for workforce safety
Computer vision can monitor worksites and trigger real-time alerts when protective gear is missing or unsafe conditions are detected, helping teams identify potential safety issues faster across drilling sites, refineries and compressor stations.
Real-time drilling optimization
Edge-deployed AI inferencing analyzes drilling telemetry in real time, supporting fast operational decisions and helping reduce nonproductive time while keeping terabytes of data local to constrained field networks.
Emissions monitoring and reporting
AI-assisted data aggregation consolidates emissions monitoring data from distributed field assets, reducing manual reporting effort while maintaining controlled boundaries for sensitive environmental and operational data.
Sovereign AI for energy operations
Train and deploy AI models on sensitive operational, telemetry and subsurface data within regional or national boundaries, with governance, reliability and data control across forecasting, automation and operational intelligence.
Security and Compliance
Security and sovereignty for critical energy operations
FAQ
Common questions about cloud and AI solutions for the Oil and Gas sector
How does Rackspace Technology secure OT/IT convergence in oil and gas operations?
Rackspace Technology helps oil and gas operators securely connect operational technology (OT) and information technology (IT) environments through network segmentation, controlled access and data sovereignty measures. By maintaining defined boundaries around SCADA and industrial control systems, Rackspace enables operators to extend cloud computing, data analytics and AI capabilities to drilling sites and pipeline operations while protecting critical production environments.
How does Rackspace Technology support PHMSA leak detection and regulatory compliance requirements?
Rackspace Technology supports oil and gas operators with secure data platforms and reporting pipelines designed to help meet Pipeline and Hazardous Materials Safety Administration (PHMSA) requirements. By integrating SCADA, sensor and inspection data, Rackspace helps operators improve leak detection monitoring, maintain audit-ready records and streamline regulatory reporting. Rackspace provides the infrastructure and data management capabilities that support operator-led compliance programs.
How quickly can Rackspace Technology move oil and gas AI workloads from pilot to production?
Rackspace Technology helps oil and gas operators accelerate AI deployment from pilot to production by consolidating operational data on secure, governed infrastructure. Depending on data readiness, integration requirements and deployment complexity, some AI workloads may reach production in weeks. Edge computing at drilling sites helps reduce latency, while data sovereignty controls support secure AI operations across distributed oil and gas environments.
Ready to modernize your oil and gas infrastructure?
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