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Unlock the value of your energy data

HiveMQ provides a secure, reliable foundation for seamless data flow from the field to enterprise IT systems. Leading energy companies use HiveMQ to enhance asset monitoring, optimize operations, and improve safety through real-time, data-driven decisions.

With HiveMQ our customers achieved

$143M

Increased revenue by improving asset utilization by 1 day/year

$660M

Cost savings per year by enabling predictive maintenance

$587M

Compliance fine avoidance due to early leak detection

HiveMQ drives business outcomes

HiveMQ helps Oil and Gas companies unlock the power of their industrial data by enabling real-time, reliable, and scalable communication between assets, sensors, and enterprise systems.

Remote monitoring of distributed assets

Remote monitoring and control means customers can enhance operational efficiency, improve safety/environmental compliance and optimize outputs.

Optimized operations

Customers enhance operational efficiency, improve asset communication, and increase speed of decision making by standardizing data collected from distributed assets.

Enhanced pipeline safety

Monitoring pipelines for leaks and other issues allows customers to minimize environmental impact, enhance operational safety, and reduce repair expenses.

Increase efficiency and reduce waste

With robust process optimization and control, customers enhance production efficiency, improve product quality, and reduce wastes and emissions.
Transitioning to MQTT with HiveMQ allowed us to dramatically reduce the time to send data to our SCADA system, moving from a 5 to 10 minute delay to near real-time. This capability is crucial for immediate issue resolution and optimization of oil well performance.

OT Engineer

Upstream Oil and Gas Company

Digital transformation in oil & gas

The Oil & Gas industry faces numerous challenges, such as supply chain disruptions, safety concerns, regulatory compliance, and increased pressure to enhance efficiency and sustainability. To address these challenges, the industry is increasingly turning to digital transformation strategies centered around Industry 4.0 principles and has several use cases across upstream, midstream, and downstream sectors. Here are some specific examples:

Upstream

Exploration & Production

  • Remote Monitoring
  • Remote Control
  • Predictive Maintenance

Midstream

Transportation & Storage

  • Optimized Distribution
  • Pipeline Monitoring
  • Leak Detection

Downstream

Refining & Distribution

  • Asset Performance
  • Process Optimization
  • Control

Key sectors and use cases

The Oil & Gas industry is transforming to be more data-driven and using Industry 4.0 principles to achieve digital transformation.  This evolution is streamlining operations across the three principal sectors: upstream, midstream, and downstream. HiveMQ is at the forefront of this transformation, offering robust solutions across various use cases. 

Upstream
Exploration & production

Oil and Gas Upstream

The upstream Oil & Gas sector, also known as exploration and production (E&P), involves the processes of searching for, recovering, and producing crude oil and natural gas from underground or underwater fields. The adoption of IoT sensors and digital twins enables upstream entities to make data-driven decisions based on robust real-time analytics to maximize productivity and minimize downtime.

Remote monitoring and control

Using IIoT sensors for real-time monitoring of critical assets such as drilling equipment, drilling rigs, production wells, and reservoirs helps reduce downtime, improve efficiency, and ensure safety. HiveMQ allows energy companies to remotely monitor assets, manage lifecycle, and maintain health with the following benefits:

  • Enhanced operational efficiency
  • Improved safety and environmental compliance
  • Optimized production and asset management

Predictive maintenance

Predictive maintenance allows energy companies to use data to predict when equipment and remote assets will fail, allowing them to schedule maintenance proactively. HiveMQ helps energy customers leverage advanced data analytics and machine learning to achieve predictive maintenance for these outcomes:

  • Reduced unexpected downtime
  • Extended equipment lifetime
  • Reduced maintenance costs

Optimized distribution

Significant cost savings around operational optimization can only be realized once the data is collected from distributed IoT devices and sensors across the environment. HiveMQ and MQTT help standardize this collection and reporting, enabling advanced analytics to achieve these outcomes:

  • Enhanced operational efficiency
  • Increased regulatory compliance
  • Faster decision-making

Pipeline monitoring & leak detection

Identifying potential leaks and vulnerabilities is critical, and ensuring timely intervention results in risk mitigation and cost savings. Using HiveMQ, IoT sensors installed along pipelines monitor parameters like pressure, temperature, and flow rates, transmitting data for real-time analysis and predictive maintenance to achieve these outcomes:

  • Minimized environmental impact
  • Enhanced operational safety
  • Reduced repair expenses

Midstream
Transportation & storage

Oil and Gas Midstream

The midstream Oil & Gas sector encompasses the transportation, storage, and wholesale marketing of crude or refined petroleum products, bridging the gap between the upstream production sites and downstream processing facilities. The adoption of MQTT to provide a standard communication protocol across proprietary protocols is enabling upstream entities to make data-driven decisions.

Downstream
Refining & distribution

Oil and Gas Downstream

The downstream Oil & Gas sector encompasses the refining of crude oil, processing natural gas, and distributing products like fuels, lubricants, and petrochemicals to various markets and industries for consumption and use.

Asset performance management

Asset performance management in the downstream energy sector is critical for operational efficiency and sustainability. HiveMQ allows energy companies to reliably collect data from IoT sensors installed on equipment, remotely monitor these assets, manage their lifecycles, and ensure the whole health of the asset to achieve these outcomes:

  • Reduced maintenance expenditure
  • Increased asset performance
  • Decreased downtime and maintenance costs

Process optimization & control

Process optimization and control rely on the continuous surveillance of refining processes via connected devices. Using HiveMQ, energy companies can collect real-time information for analysis, enabling the optimization of operations to achieve these outcomes:

  • Enhanced production efficiency
  • Consistent product quality
  • Reduced waste and emissions

Oil & gas and Industry 4.0

The primary frontier for achieving digital transformation in the oil and gas industry lies in reliable data collection and movement at scale. Data from various sources, such as drilling rigs, production processes, and operational applications, is gathered and stored. This data is then transferred from operational technology (OT) systems to information technology (IT) systems, typically housed in data centers or enterprise clouds. This data is then analyzed and provides real value, enabling the optimization of operational efficiency and decision-making processes.

Oil and gas reference architecture with HiveMQ

Technical benefits of HiveMQ for oil & gas

Efficient data collection, communication, and control are key for Oil & Gas. HiveMQ provides a scalable, secure, and reliable data layer that ensures real-time, event-driven data exchange across OT and IT systems.

Real time

Enables instant data exchange between assets, sensors, and enterprise systems.

Event-driven architecture

Transmits data only when changes occur, improving efficiency and decision-making.

Simple to deploy

Deploy on-premise, in any cloud, or as a fully managed service with ease.

Edge optimized

Processes and routes data at the edge, reducing bandwidth and enabling real-time insights.

Reliable

Ensures zero message loss with redundant clustering for mission-critical operations.

Secure

Seamlessly expands to millions of devices to support industrial growth.

Low bandwidth

Optimizes bandwidth with an efficient, publish/subscribe model for constrained environments.

Observable

Provides real-time monitoring with built-in tools for visibility and troubleshooting.

Scalable

Expands seamlessly to millions of devices with a high-performance, linear architecture.

HiveMQ in energy - key resources

Top recommended resources to help you unlock the power of IoT in the Energy Sector

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Faith Technologies Enhances Energy Infrastructure with HiveMQ

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Statkraft Improves Hydropower Operations with Real-Time Water Monitoring

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