Enercore AI
Enercore AI
Drilling intelligence powered by 12.5M sensor readings and 3 ML models
Drilling operations generate massive sensor data streams but lack real-time intelligence to predict stuck pipe events, optimize rate of penetration, or detect kicks before they escalate.
12.5M second-by-second sensor readings from Volve field data — real drilling parameters analyzed in real time.
XGBoost model with SHAP explainability provides early warning of stuck pipe events before they occur.
Gradient Boosting model with Partial Dependence Plots identifies optimal drilling parameters to maximize rate of penetration.
Cortex Agent orchestrates DDR Search (RAG on 1,596 reports), Analyst (text-to-SQL on sensor data), and ML models in one conversational interface.
What your data is hiding — patterns invisible to human analysis, detectable only through ML correlation.
Pump amps stable, flow within normal parameters
Micro-fluctuations in intake pressure reveal gas slug formation — gas locking predicted 12 hours before pump failure
$150K workover cost avoided plus 3 days production preserved per event
Built on Snowflake with enterprise-grade security, rate limiting, and audit logging.
Request a personalized demo to explore how Drilling Operations surfaces hidden patterns in your oil & gas data.
AI-powered intelligence for energy, construction, and industrial operations.