Oil and Gas

Oil and gas operations require precise infrastructure control.

Support critical upstream, midstream and downstream workloads with governed private cloud from Rackspace, built for secure OT/IT convergence, edge computing and AI.

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Operational intelligence increases the demands on IT infrastructure

Across upstream, midstream and downstream operations, decision-making increasingly relies on data moving between field systems, edge environments, private cloud and AI platforms. Predictive maintenance, real-time drilling optimization and production analytics are expanding the role of technology in day-to-day operations, while OT/IT convergence increases the number of systems that must work together. That raises the bar for infrastructure across distributed environments.

OT/IT convergence introduces new dependencies

Industrial control systems and SCADA platforms across drilling rigs, pipelines and refineries were built for tightly controlled operational environments. Connecting them with cloud and digital systems introduces new dependencies that require careful segmentation, sovereignty controls and clearly defined operational boundaries.

Fragmented systems limit operational visibility

Midstream SCADA and sensor networks can span thousands of miles, while downstream historians, maintenance platforms and operational data systems often remain isolated. Without a consistent view of operations, teams have less real-time context for decisions and spend more time assembling reliable reporting across sites.

Field data faces compute and residency constraints

Upstream assets generate large volumes of drilling and surveillance data that is difficult to process where it is generated without edge compute and localized inferencing. Regional and sovereignty requirements can also limit where operational and subsurface data can move, complicating AI and analytics at scale.

Cross-domain OT and cloud expertise is hard to scale

Oil and gas teams need people who can secure industrial networks, operate hybrid cloud platforms and build industrial ML models. That mix of expertise can be difficult to build and retain, especially as experienced specialists retire and critical environments become more connected.

miles of US gas pipeline

subject to PHMSA’s Advanced Leak Detection and Repair rule

$0+/bbl

swing in Brent crude prices

in 2026 amid Strait of Hormuz supply disruptions

Years of Rackspace

experience operating mission-critical infrastructure

Solutions

Run critical oil and gas workloads with more control

Bring private cloud, edge computing, cyber resilience and governed AI closer to upstream, midstream and downstream operations, with infrastructure designed around their performance, data and operational requirements.

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.

Run AI inferencing and operational intelligence on governed private cloud with edge compute at the rig and wellsite, hardened OT/IT segmentation and sovereignty controls for operational and subsurface data. Rackspace helps you keep AI infrastructure within defined operational boundaries while maintaining governance, reliability and control.

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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 sovereignty

Security and sovereignty for critical energy operations

Protect critical oil and gas environments with architecture designed around security, governance, data control, operational continuity and sovereignty requirements.

SOC 1, 2 and 3

Certified

ISO 27001

Ready

NIST CSF

Compliant

PHMSA Advanced Leak Detection and Repair alignment

Compliant

EPA Subpart W-aligned reporting

Compliant

TSA Security Directive alignment

Compliant

Ready to modernize your oil and gas infrastructure?

Connect with a dedicated oil and gas infrastructure architect to evaluate your environment and build a tailored modernization roadmap.

FAQ

Common questions about cloud and AI solutions for the Energy 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.