INDUSTRIAL DIGITALIZATION & ENERGY TECHNOLOGY
SOCAR Tech's Industrial Digitalization practice bridges operational technology and enterprise systems for the energy sector. Industrial AI delivers the Rig Scheduling Tool — a cross-functional planning hub providing probabilistic well delivery forecasts across SOCAR Group. Industrial IoT deploys sensor networks and digital twin models for asset simulation, and integrates inspection robots and autonomous data capture. OT Connectivity designs resilient OT/IT network architectures with secure segmentation and integrates operational systems with enterprise platforms.
Industrial Data & Digital Assets
Category: Platform Engineering
Usage: National / SOCAR Group
Modernization of the national oil and gas data library to consolidate all exploration and production data (scientific publications, seismic data, well production records) into one comprehensive national repository.
• UI/UX enhancement — intuitive, user-friendly data discovery interface
• National data repository consolidating all E&P data types
• Expanded processing and storage capacity
• Industry standards compliance (PPDM, OSDU)
• Enhanced security, auditing, and regulatory compliance
• AI tools integration for accelerated data analysis and automation
Industrial AI & Operations Optimization
Category: Data Engineering & Operations
Usage: Enterprise-wide Drilling
Centralized scheduling framework establishing a single source of truth for rig and well schedules across the SOCAR Group. Cross-functional hub for Reservoir Management, Drilling, Logistics, Construction, and Procurement.
• Centralized rig and well schedule management
• Timely updates on progress, delays, and critical dependencies
• Early warnings and data-driven readiness assessments
• Actual vs. planned performance tracking to identify bottlenecks
• Foundation for predictive, probabilistic well delivery estimates
Industrial IoT & Smart Assets
Category: Industrial Digitalization
Usage: Production sites and industrial assets; Field operations and maintenance teams
Deployment and integration of IoT sensors and industrial data platforms to enable real-time monitoring, predictive insights, and operational transparency. Development and integration of digital twin models for assets and processes to enable simulation, optimization, and predictive decision-making. Integration of inspection robots, autonomous systems, and automated data capture technologies into industrial operations.
• IoT sensor deployment and industrial data platform integration
• Digital twin models for asset simulation and optimization
• Inspection robots and autonomous data capture integration
OT Systems & Industrial Connectivity
Category: Infrastructure Operations
Usage: Industrial operations; Industrial and enterprise systems
Design of resilient and secure industrial network architectures aligned with operational requirements. Integration of operational technology systems with enterprise platforms to enable secure data exchange and operational visibility.