AI for energy
Multimodal AI
Launch powerful generative and predictive AI use cases with multimodal data integration to optimize efficiency, enhance safety, and drive sustainability.
Anomaly detection
Detect anomalies throughout the energy lifecycle, from irregularities in submersible pumps to realtime asphaltene detection, to prevent failures, improve safety, and optimize performance.
Edge deployment and monitoring
Deploy and monitor models to the edge for real-time anomaly alerts and automatic actions, reducing latency and ensuring efficient, reliable operations in high-risk, remote environments.
Enhance upstream exploration and production
Guide informed long-term capital decisions and reduce geological risk with AI models that analyze complex reservoir data and market trends to provide accurate forecasts of product flow, demand, and pricing.
- Drill sites selection
- Drill bit failure forecasting
- Automated predictions using geologic data
- Drilling parameter optimization
- Hydraulic fracturing optimization
- Reservoir formation damage forecasting
- Total recoverable reserve volume forecasting
- Lateral and frac design optimization
- Blowout prediction and prevention
- Well output forecasting and estimated ultimate recovery
- Procurement optimization
- Surface and down-hole failure forecasting
- Infill geospatial forecasting
Improve midstream operations, maintenance, and safety
Use DataRobot to create a portfolio of predictive and generative applications that improve well design, drilling, and completion efficiency.
- Equipment and component failure prediction
- Service cost prediction
- Personnel demand forecasting
- Inventory optimization
- Safety improvements
- Commodity trading and hedging optimization
- Pigging schedule optimization
- Long-term commodity input and product market price forecasting
- Capital planning and risk evaluation
- Labor productivity and wrench time optimization
- Pipeline scheduling optimization
Optimize downstream operations
Quickly deliver AI insights that optimize for maximum lifetime well production, forecast commodity prices, and anticipate potential health and safety risks throughout the energy lifecycle.
- Vehicle and outlet location planning
- Flow rate optimization
- Pressure optimization
- Storage demand forecasting
- Pricing forecasting and optimization
- Renewable energy generation forecast
- Commercial product demand forecasting
- NLP for invoicing and collections
- Flaring optimization
- Logistics and distribution network optimization
- Analysis of root causes and drivers of non-productive time
- Refining enhancements through ESG transparency
