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Oil Refinery SCADA System

Midstream

Solution Group

Industry

Oil and Gas

PoC Duration

Iotellect Match

6-12 days
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AI powered Low Code IoT/IIoT Platform

Automate and optimize crude oil processing operations with a new-generation SCADA solution. Acquire and store PLC data, supervise processes, optimize energy consumption, and enhance safety across your facilities. Leverage real-time data insights to make informed decisions, reduce downtime, and drive operational excellence. Our platform is designed to seamlessly integrate with existing systems, providing a unified view of entire refining ecosystem. Empower field teams with the tool required to maximize efficiency and profitability in the dynamic oil and gas industry.

Iotellect is a low-code IoT/IIoT platform for building custom smart streetlight monitoring and control solutions. It helps cities, utilities, and solution providers connect smart poles, lighting controllers, meters, sensors, solar equipment, and IoT gateways in one platform, then create real-time dashboards, alerts, maps, analytics, and automated workflows for remote lighting control, fault detection, energy management, and maintenance optimization.

Build Your IoT Application

Connect Your

Oil Refining Infrastructure

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PLCs
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Distributed Control Systems (DCS)
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Industrial network equipment
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HMI panels
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Industrial PCs and IIoT gateways
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Power Distribution Units (PDUs)
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Distillation, cracking and hydrotreating units
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Reformers, boilers and heat exchangers
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Furnaces and heaters
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Tanks and reservoirs
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Pumps and valves
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Flow and energy meters
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Pressure, temperature and level sensors
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Flare systems
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Gas detection and fire suppression systems
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Transformers and substations
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Backup generators and UPS units
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Historian databases
Connect Devices

Connectivity & Management

  • Support for standard industrial protocols like Modbus, OPC UA, and MQTT ensures seamless communication with PLCs, DCSs, and RTUs
  • Real-time data collection and processing are facilitated by connecting flow meters, level sensors, and pressure transmitters to monitor critical process parameters
  • Iotellect Agents enable efficient data normalization directly on devices such as environmental monitoring sensors, optimizing network usage
  • Industrial gateways transform pump status monitors and valve position indicators into centralized IoT endpoints for easier management
  • Leak detection sensors leverage the platform's edge computing capabilities to reduce latency and promptly alert operators to potential hazards
  • Temperature sensors can feed into predictive models that help optimize refinery operations, minimizing energy consumption while maintaining safety standards
  • Context tree visualization allows administrators to manage alarm systems and historian databases effectively, streamlining complex operations seamlessly
  • Human-Machine Interfaces (HMIs) offer intuitive control and monitoring of SCADA operations remotely through compatible web interfaces

Integration

  • Low-code integration with existing MES platforms simplifies cross-system data exchange for more streamlined processes and reports
  • Modbus and OPC UA compatibility facilitate broad SCADA system interoperability across various manufacturers' protocol implementations
  • Integrate third-party cloud services seamlessly through connectors using MQTT or REST protocols for enhanced data collaboration capabilities
  • Low-code connectors link process visualization systems with ERP software to garner insights into real-time production outputs favorably impacting profitability margins
  • Customized integration capabilities provide interfaces with alarm management systems, bolstering collaborative risk mitigation measures across facilities
  • Flexible driver modules ease the ingestion of proprietary sensor outputs into the platform's unified data model without needing Java programming expertise
  • Human-Machine Interfaces (HMIs) seamlessly feed processed operational data into comprehensive web-based dashboards without extensive configuration overheads
  • Historian database connectivity ensures historical data dissemination both internally within the organization and externally among trusted partners

Analytics

  • Statistical Process Control (SPC) tools analyze historian database records for trend analysis, anomaly detection, and operational efficiency improvements
  • The platform's low-code expression language facilitates custom alerting rules for unexpected temperature or pressure fluctuations detected by associated sensors
  • Machine learning models predict potential equipment failures using data from flow meters and pressure transmitters to reduce downtime
  • Process visualization tools compile valve positions and pump status data into comprehensive dashboards for in-depth operational insight
  • Leak detection analytics enhance safety protocols by evaluating historical patterns and correlating them with current sensor readings
  • Comprehensive environmental monitoring utilizes time-series analysis to flag regulatory compliance issues based on air quality changes
  • Predictive energy consumption analytics harness real-time input from RTCs, optimizing refinery power usage amidst fluctuating production demands
  • Anomaly detection algorithms identify deviations in historical energy trends via data gathered from distributed control systems

UI/UX

  • Drag-and-drop GUI Builder enables intuitive design of custom dashboards displaying sensor arrays or control systems for enhanced situational awareness
  • Dynamic vector image support assists in constructing interactive visualizations involving level sensors or analog-output devices within plant schematics seamlessly
  • Robust multi-layer map visualizations overlay refinery metrics over geographic data instructively highlighting spatial influences on operational performance
  • Adaptive charting tools allow operators to customize HMI layouts efficiently catered towards their specific monitoring preferences or requirements effortlessly
  • BI-style analytics empower transformative visualization techniques revealing actionable insights deriving value from massive datasets housed within historian databases
  • Operators gain immediate situational clarity using advanced alarm management interfaces optimized for real-time error diagnosis minimizing response time periods markedly
  • Graphical representations aid troubleshooting efforts by converting process parameters collected via TTC into perceptible trendlines discernible at a glance
  • Device snapshots ensure uninterrupted user experience while accessing offline elements enabling continued management during intermittent device connectivity phases providing decision-makers granular control over refinery functionalities

Key Features of Your
SCADA for Oil Refining Solution

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Engineering Companies
  • Oil and Gas Companies
  • Engineering, Procurement, and Construction (EPC) Firms

Solution Users and Developers

  • Dedicated low code developers
  • SCADA/HMI engineers
  • IoT and Industry 4.0 solution architects
  • Industrial automation specialists
  • Process control professionals
  • Oil and gas professionals
Customer success team
Community
Online training

Assistance

Common Questions

What is an oil refinery SCADA system?

An oil refinery SCADA system collects real-time process data and provides centralized monitoring and supervisory control of refinery equipment and operations. It helps operators track parameters such as pressure, temperature, flow, tank levels, equipment status, and alarms from a unified interface.

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