“[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.”
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 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.
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 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.