Enercore AI
Enercore AI
Intelligent operations on 9 years of Volve field production data
ESP pump failures cause unplanned downtime costing hundreds of thousands per event, and traditional monitoring misses the subtle sensor patterns that precede failure.
15,634 daily production records from 7 Volve wells (2007-2016) with decline curve analysis, water cut tracking, and GOR monitoring.
ML models detect ESP failure patterns from ~50K sensor log records, predicting failures 12+ hours ahead.
Voidage Replacement Ratio tracking and injection-vs-production balance analysis for reservoir management.
Cortex Analyst for natural language analytics on production data, Cortex Search for RAG over workover reports.
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 correlate with gas slug formation patterns detectable only through ML
~$150K per workover avoided, 5 pump failures prevented = $750K/year/field
Built on Snowflake with enterprise-grade security, rate limiting, and audit logging.
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AI-powered intelligence for energy, construction, and industrial operations.