Energy

Geospatial analysis of satellite data for risk detection in onshore and offshore installations

Key facts

typically98%alerts accuracy
40+algorithms for specific functions
10+energy sector use cases
50+customers
Next Steps
Book a call
Email sales
Downloads

Top business benefits

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Multifunction

Physical, chemical and biological analyses supported

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Advanced AI

Advanced AI platform spots problems so you can take action before it’s too late

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Many use cases

>10 energy sector use cases from pipeline monitoring to methane measurement

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No software installation

Turnkey model – SaaS platform, no IT security hurdles

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Integration

APIs and Web services enable integration with existing tools

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Constant Vigilance™

Achieve a higher level of monitoring

Combining satellite data with machine learning algorithms, this AI-powered solution provides geospatial analytics for the early detection of potential issues in onshore and offshore installations.  

Main features

  • Collects multi and hyperspectral data from a range of third-party sources, including satellites, drones, and aircraft

  • Conducts physical analysis (e.g. encroachment, land movement, change detection), chemical analysis (e.g. acid mine drainage), and biological analysis (e.g. vegetation management)

  • Uses AI algorithms to isolate spectral signatures and identify objects and phenomena

  • Asset data is rendered into interactive displays, visualisations, and alerts that highlight the risk’s location and urgency

  • Directs expert staff only to where they’re needed

  • Cloud-based SaaS platform that can be integrated with software applications, and accessed via browser, tablet, or smartphone

Deployed by

In more detail

Full description

When visibility across land, assets, and installations is limited, industrial risks such land movement, or chemical contamination can go unnoticed and quickly become hazardous.

Through a combination of artificial intelligence and satellite data feeds, this SaaS solution provides total visibility across all assets and turns data into powerful visual insights that alert you to developing risks. This allows you to respond in a timely manner, prevent costs from escalating, and minimise environmental impact.

The challenge

Lack of advance warning for large scale issues like land movement, pipeline leaks, and chemical seeps in a oil and gas or energy operation can mean huge financial and safety impact from loss of productivity, hefty remediation costs, and reputational damage.

To avoid these issues, it’s crucial to identify and respond to events before they have a chance to escalate. But this can be difficult with traditional methods like manual inspections of assets, which are expensive, time consuming, and infrequent. Catching an event in its early stage requires real-time, continuous monitoring of asset data, and a way to transform this information into actionable insights.

The approach

This satellite data analytics solution collects data from assets using a variety of satellite sources, aircraft, drones, and fixed or persistent sensor platforms. Through AI algorithms, the spectral signatures contained in this data are isolated and used to identify objects and phenomena.

Detection algorithms are then used to create interactive displays and visualisations that show exactly what’s taking place. Through this powerful technology, operators are alerted to developing risks, and are provided with their exact locations and severity measures so that they can respond quickly and appropriately. This SaaS platform has no installation requirements and accurately monitors change and alerts based on business rules you set up.

This flexible platform can work across numerous use cases for the energy sector including land movement, right of way encroachments, methane tracking, pipeline spill tracking and contaminant concentration in the local environment.

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Tech specification

Data acquisition
Satellites, aircraft, drones, fixed assets
Technical scope
Physical, chemical and biological analysis
Cloud usage
AWS by default
Imagery requirements
Pixel depth >=8bit, resolution from 30m to 0.3m
Mobile platforms
iOS and Android
API
Token secured, REST-based, JSON output
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2022 Globee Award Winner

A bronze award in the 'Startup of the Year: Business Services' category