SOLUTIONS · ENERGY

High-performance analytics for energy exploration & production.

Join high volumes of streaming sensor, seismic, and market data with historical context in a single engine — then explore it with geospatial visualization and tooling built for moving datasets.

Talk to usSENSOR · SEISMIC · GEOSPATIAL · STREAMING
Where it pays off

Use cases across exploration & production

From the wellhead to the depot, Kinetica turns high-velocity operational data into decisions you can act on in real time.

SUPPLY CHAIN OPTIMIZATION
  • Get real-time visibility into mobile assets, in order to provide estimated time of delivery, notifications, and custom location-based alerts.
  • Optimize asset routing, delivery, and inventory, as well as location selection for oil depots.
Read Forbes Article
PREDICTIVE MAINTENANCE
PREDICTIVE MAINTENANCE
  • Analyze streaming data to more accurately predict the odds of failure, minimizing revenue loss.
  • Combine maintenance cost factors with failure risk analysis to optimize preventative maintenance initiatives.

Read our Solution Brief on GPU-Accelerated and GPU-powered Database for Oil & Gas

Solution Brief
SUPPLY CHAIN OPTIMIZATION
SUPPLY CHAIN OPTIMIZATION
  • Get real-time visibility into mobile assets, in order to provide estimated time of delivery, notifications, and custom location-based alerts.
  • Optimize asset routing, delivery, and inventory, as well as location selection for oil depots.
Technology Report

Making sense of sensor data

As sensor data grows more complex, legacy data infrastructure struggles to keep pace. A new set of design patterns to unlock maximum value. Get this complimentary report from MIT Technology Review

Making Sense of Sensor Data — MIT Technology Review report cover
Go deeper

Related resources

Put Kinetica to work on your energy data.

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Frequently asked questions

What kinds of energy data does Kinetica fuse?
Kinetica joins high-volume streaming sensor and seismic data with historical and market data, all inside a single engine. That fusion is what enables exploration, drilling, and production analytics on moving datasets.
How does Kinetica support predictive maintenance for energy assets?
Kinetica analyzes streaming sensor data to predict failure odds and combines maintenance cost factors with risk analysis to optimize preventative maintenance schedules. The same approach applies to oil and gas operations end to end.
How does Kinetica support real-time supply-chain visibility for energy operators?
Kinetica's geospatial pipeline gives real-time visibility into mobile assets to drive ETA estimates, notifications, and location-based alerts, and it supports asset routing, delivery, and inventory optimization plus oil-depot location selection.
Why is sensor data the focus for energy analytics?
Sensor data is high-velocity and increasingly complex, and MIT Technology Review reports that legacy data infrastructure can't keep up. Kinetica's vectorized, real-time engine applies new design patterns built for that workload.
How are these analyses surfaced for operators?
Geospatial visualizations and interactive exploration tools let users interact with moving datasets directly, joining streaming feeds with historical context to identify exploration, drilling, and production efficiencies.

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