Oil and Gas
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
Use Vehicle Telematics Analytics to monitor fleet health and performance.
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“[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
Featured Use Cases
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 visual analytics makes 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
IoT Agenda
Five ways IoT is transforming the manufacturing industry