AI for energy

Amplify and accelerate ROI across the oil and gas value chain with AI.

What makes DataRobot unique for energy suppliers

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.

Embed AI across the oil and gas lifecycle

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

OYAK Cement boosts alternative fuel usage. Leading Turkish cement manufacturer turned to AI for process optimization that not only lowered costs but also reduced CO2 emissions by nearly 200,000 tons annually.

$39M saved with alternative fuels Read More