Iotellect - SCADA for Oil Refining | Midstream | Oil and Gas

Solution Group

Industry

Midstream

Oil and Gas

PoC Duration

Iotellect Match

6-12 days

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 and ecosystem that includes out-of-the-box industrial automation and digitization products, such as SCADA, BMS and BI. It allows business-oriented IoT professionals to join the solution development process by converting their Industry 4.0 knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Oil Refining Infrastructure

PLCs

Distributed Control Systems (DCS)

Industrial network equipment

HMI panels

Industrial PCs and IIoT gateways

Power Distribution Units (PDUs)

Distillation, cracking and hydrotreating units

Reformers, boilers and heat exchangers

Furnaces and heaters

Tanks and reservoirs

Pumps and valves

Flow and energy meters

Pressure, temperature and level sensors

Flare systems

Gas detection and fire suppression systems

Transformers and substations

Backup generators and UPS units

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

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Keep an eye on Server health and analyze its performance with the detailed Monitoring dashboard

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Proved Worldwide

Across Industries

15 000 000 000 000+

data samples collected and processed

25 000 000+

devices under monitoring and supervision

40 000+

types of devices and data sources connected via more than 50 supported communication protocols

300+

SaaS and on-premise partner products created

80+

countries leverage Iotellect technology

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SCADA for Oil Refining

Solution Group

Industry

PoC Duration

Iotellect Match

Build Your IoT Application

Connect Your

Oil Refining Infrastructure

Connectivity & Management

Integration

Analytics

UI/UX

Key Features of Your SCADA for Oil Refining Solution

Customers and Partners

Solution Users and Developers

Assistance

Meet

Home Screen

Development

Administration

Key Features of Your
SCADA for Oil Refining Solution