OmniSci visual analytics help upstream, midstream and downstream decision makers in the oil and gas industry slice through the largest spatial datasets, to accelerate geospatial, data science for better oil and gas data analytics

  • A leading US oil group doubles its volume of data every 12-18 months
  • Offshore platforms run at 77% efficiency, leading to a $200bn shortfall annually
  • Advanced big data analytics for oil and gas can yield 30-50X investment within a few months of implementation

Download the RTInsights eBook

The OmniSci Extreme Analytics Platform:
Revamping the Experience of Big Data Analytics

Download

“[OmniSci] taps the power of the modern graphics processing unit (GPU), and the results can be hundreds or thousands of times faster than conventional database queries.”

VentureBeat

Location Intelligence for Upstream Exploration

The Challenge

Geospatial information drives every phase of upstream exploration and production (E&P) in the oil and gas industry. The mapping, leasing, site preparation and drilling phases all have the potential to generate huge volumes of data that geologists and project managers can use to reduce costs and improve yields. Yet the wealth of data flowing from sensor-enabled machinery, geologic models, and seismic software overwhelms standard oil and gas analytics software designed for an earlier era when all data was less abundant and location data was particularly difficult to integrate into operations.

OmniSci Solution

OmniSci visual analytics help oil and gas analytics companies and other decision makers slice through the largest spatiotemporal telematics datasets, accelerating geospatial analytics and data science. It provides oil and gas companies the ability to visualize all of their big data analytics for oil and gas, to improve efficiencies around exploration and field operations. It provides these companies an oil and gas data analytics dashboard to reduce costs, mitigate risks, and optimize production.

OmniSci Demo

See how OmniSci interactively explores big oil & gas data

Hewlett Packard Enterprise

Why energy companies now invest heavily in visualization tools

GIS Lounge

80% of oil & gas data has a geospatial component: why visualization is critical

Predict Machine Failure with IoT Data

The Challenge

Artificial intelligence is increasingly used to predict machine failure, to minimize downtime and maintenance costs for automobiles, ships or aircraft. Yet engineers have trouble explaining an AI model’s black-box recommendations, so leaders fall back on human experience and "gut" guesses in favor of predictive analytics in logistics industry to keep field equipment running as intended.

OmniSci Solution

OmniSci’s extreme visual analytics make AI models more accessible to the scientists who create them and to the broader audiences of logistics leaders, military commanders or regulators who must understand those models. With immediate visual exploration of the same underlying elements that trained AI models, anyone can trust their predictions.

GTC Presentation

Volkswagen Uses OmniSci to Visualize and Interrogate Black Box AI Models

Forbes

Blending Man And Machine To Get The Most From AI

IoT Agenda

Five ways IoT is transforming the manufacturing industry