Accurate measurement and real-time monitoring are essential for efficient oil and gas distribution. Distribution companies must manage fuel inventories, custody transfer, pipeline networks, storage terminals, distribution stations, and customer delivery systems while minimizing product losses, preventing theft, ensuring billing accuracy, and maintaining regulatory compliance. Traditional metering systems often rely on manual readings and disconnected monitoring processes that limit operational visibility and delay decision-making. Smart metering and the Industrial Internet of Things (IIoT) are transforming distribution networks by enabling continuous monitoring, automated data collection, predictive analytics, and intelligent asset management.
This course equips participants with practical knowledge and technical skills to design, implement, and manage smart metering and IoT solutions across oil and gas distribution networks. Participants learn how to deploy intelligent flow meters, pressure sensors, tank level monitoring systems, communication networks, edge devices, and cloud-based monitoring platforms to improve measurement accuracy and operational efficiency. The course also covers Supervisory Control and Data Acquisition (SCADA) integration, Geographic Information Systems (GIS), Advanced Metering Infrastructure (AMI), predictive maintenance, leak detection, data analytics, cybersecurity, and regulatory compliance for modern distribution operations.
Using industry-leading technologies such as Siemens Sitrans, Emerson Rosemount, Honeywell Experion, Schneider Electric EcoStruxure, ABB Ability, Microsoft Azure IoT, AWS IoT Core, IBM Maximo, ArcGIS, Power BI, MQTT, OPC UA, LoRaWAN, NB-IoT, Python, and industrial SCADA platforms, participants gain hands-on experience through smart metering simulations, IoT deployment exercises, dashboard development, and real-world distribution case studies. By the end of the course, participants will be able to implement intelligent distribution monitoring systems that improve operational visibility, reduce product losses, optimize maintenance, strengthen billing accuracy, and support data-driven decision-making.
Duration
10 Days
Who Should Attend
Individual Impact
Organizational Impact
By the end of this course, participants will be able to:
Topics
Practical Exercise: Assess opportunities for smart metering within a distribution network.
Case Study: Modernizing an oil distribution network with IoT technologies.
Topics
Practical Exercise: Select smart metering technologies for different distribution applications.
Case Study: Intelligent metering for fuel distribution terminals.
Topics
Practical Exercise: Design an Industrial IoT communication architecture.
Case Study: Reliable communications for remote distribution assets.
Topics
Practical Exercise: Integrate smart metering systems with enterprise platforms.
Case Study: Connected distribution operations using SCADA and GIS.
Topics
Practical Exercise: Develop a dashboard for monitoring distribution assets.
Case Study: AI-assisted monitoring of fuel distribution operations.
Topics
Practical Exercise: Analyze sensor data to identify leaks and abnormal conditions.
Case Study: Reducing product losses through intelligent monitoring.
Topics
Practical Exercise: Conduct a cybersecurity assessment of an Industrial IoT deployment.
Case Study: Protecting connected metering infrastructure from cyber threats.
Topics
Practical Exercise: Develop a compliance framework for digital metering systems.
Case Study: Meeting regulatory requirements through digital monitoring.
Topics
Practical Exercise: Develop a smart asset management strategy.
Case Study: Enterprise-wide optimization of distribution operations.
Module 10: Capstone Project and Future Smart Distribution Networks
Topics
Practical Exercise: Design and present a complete smart metering and IoT solution for an oil and gas distribution network.
Case Study: Building an intelligent, data-driven distribution system.
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