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Quest Training

Industrial Internet of Things (IIoT) for Oil & Gas Operations Training Course

Shows how smart sensors, industrial networks and IIoT platforms connect oil and gas equipment and assets to deliver real-time operational data and insight.

DOFE · Digital Oilfield & Smart Energy TechnologiesAll Levels#2102ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Oil & GasCategories:Digital Oilfield & Smart Energy Technologies

Course Overview

This advanced training course provides a comprehensive and practical framework for understanding the application of Industrial Internet of Things (IIoT) technologies across modern oil and gas operations. It focuses on connecting equipment, assets, and operational systems through smart sensors, industrial communication networks, real-time data platforms, and digital technologies to improve operational visibility, efficiency, reliability, safety, and decision-making. The program examines the core components of IIoT ecosystems, including smart sensors, instrumentation, data acquisition units, industrial gateways, communication networks, data platforms, edge computing, and cloud technologies. Participants will explore how operational data can be collected from wells, pumps, compressors, pipelines, processing facilities, and other critical assets and transformed into actionable operational intelligence. The course also addresses practical IIoT applications in production monitoring, asset performance management, predictive maintenance, anomaly detection, process optimization, and remote operations. Particular attention is given to integrating IIoT with industrial control systems, operational technology, analytics platforms, and artificial intelligence to create connected and intelligent oil and gas operations. Through practical case studies, system architecture exercises, and scenario-based workshops, participants will develop the ability to evaluate IIoT use cases, design connected asset architectures, define data and communication requirements, assess cybersecurity considerations, and develop practical strategies for implementing IIoT initiatives across oil and gas operations.

Learning Objectives

  • By the end of the course, participants will be able to:
  • Understand the principles and components of Industrial Internet of Things systems in the oil and gas industry.
  • Identify key IIoT applications across oil and gas operations.
  • Evaluate the role of smart sensors and instrumentation in operational data collection.
  • Design approaches for connecting field equipment and assets to digital systems.
  • Apply real-time monitoring technologies to improve operational visibility.
  • Evaluate IIoT applications for predictive maintenance.
  • Analyze operational data to support asset performance improvement.
  • Integrate IIoT technologies with industrial control and operational systems.
  • Evaluate the role of edge and cloud computing in industrial environments.
  • Identify cybersecurity and data protection requirements for connected industrial assets.
  • Develop performance indicators for measuring IIoT value and operational impact.
  • Prepare practical roadmaps for implementing IIoT across oil and gas operations.

Who Should Attend

This course is designed for Oil and Gas Managers, Operations Managers, Production Managers, Asset Managers, Petroleum Engineers, Production Engineers, Facilities Engineers, Automation and Control Engineers, Maintenance and Reliability Professionals, and specialists responsible for operating and monitoring oil and gas assets. It is also suitable for Digital Transformation Professionals, Information Technology and Operational Technology Specialists, Data and Analytics Professionals, Industrial Cybersecurity Specialists, Control Systems Engineers, Instrumentation Engineers, Asset Management Professionals, and Technology Project Managers. The program is particularly relevant to oil and gas organizations seeking to connect assets and equipment, improve operational data collection, strengthen remote monitoring capabilities, implement predictive maintenance, and enhance production and reliability through connected industrial technologies.

Learning Outcomes

  • Upon completion of the course, participants will be able to:
  • Assess IIoT architectures and components for oil and gas applications.
  • Identify suitable IIoT use cases across different operational environments.
  • Select appropriate sensors and instrumentation for monitoring requirements.
  • Design connected asset architectures linking field equipment with digital systems.
  • Develop real-time monitoring solutions for critical assets and operations.
  • Apply IIoT technologies to support predictive maintenance programs.
  • Analyze equipment and asset data to identify performance indicators and abnormal conditions.
  • Integrate IIoT devices with industrial control and operational systems.
  • Evaluate edge and cloud computing applications in industrial environments.
  • Identify cybersecurity risks associated with connected assets and devices.
  • Develop performance indicators for measuring IIoT effectiveness and value.
  • Prepare an integrated implementation plan for an IIoT project in the oil and gas industry.

Course Outline

Course Outline

Day 1

IIoT Fundamentals for Oil & Gas Operations

  • Introduction to Industrial Internet of Things
  • Evolution of IIoT in the oil and gas industry
  • IIoT architecture and technology layers
  • Connected assets and intelligent equipment
  • Smart sensors and industrial instrumentation
  • Operational data collection across oil and gas facilities
  • IIoT applications across the oil and gas value chain
  • Real-time operational visibility
  • Digital maturity of industrial assets
  • Practical Application: Identifying IIoT opportunities across a model oil and gas field
Day 2

Sensors, Connectivity & Connected Asset Infrastructure

  • Industrial sensors and operational data types
  • Field instrumentation and measurement technologies
  • Data acquisition units and industrial gateways
  • Industrial communication networks
  • Communication protocols and data exchange
  • Connecting wells, pumps, compressors, and other critical equipment
  • Edge computing and local data processing
  • Cloud computing and industrial data platforms
  • Data integration and interoperability
  • Practical Workshop: Designing an integrated connected-asset architecture for an oil and gas facility
Day 3

Real-Time Monitoring & Asset Data Analytics

  • Real-time operational and equipment monitoring
  • Industrial data collection and analysis
  • Industrial data platforms
  • Well and equipment performance monitoring
  • Anomaly detection and condition assessment
  • Asset performance indicators
  • Predictive analytics
  • Condition-based and predictive maintenance
  • Data-driven reliability and production improvement
  • Practical Application: Developing an IIoT-based asset performance monitoring model
Day 4

IIoT, Automation, Artificial Intelligence & Cybersecurity

  • IIoT integration with industrial control systems
  • Operational Technology and Information Technology integration
  • Intelligent automation and automated workflows
  • Artificial intelligence and industrial data analytics
  • Real-time data-driven production optimization
  • Fault detection and predictive diagnostics
  • Cybersecurity for connected industrial assets
  • Access management and industrial data protection
  • IIoT risk management and operational resilience
  • Practical Workshop: Designing a secure IIoT architecture integrated with automation and analytics
Day 5

IIoT Strategy, Implementation & Value Realization

  • Identifying and prioritizing IIoT use cases
  • Asset and infrastructure readiness assessment
  • Developing an IIoT strategy
  • Business case development and value realization
  • Technology and platform selection
  • Integration, implementation, and scaling strategies
  • Data governance and connected asset management
  • IIoT performance indicators and benefits measurement
  • Change management and workforce capability development
  • Final Integrated Workshop: Developing a comprehensive IIoT implementation roadmap for oil and gas operations covering connected assets, sensors, communications, real-time data, edge computing, analytics, automation, cybersecurity, performance indicators, implementation priorities, and scalability.

Upcoming Dates

Selected date

Munich · 28 Dec 2026 – 1 Jan 2027 · Classroom

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