AI That Works
in the Field.
Eight proven AI use cases — each trained on real oilfield data, each delivering measurable improvements to well performance, safety, and decision speed.
See a Live Demo →Advanced Data Extraction
Turn unstructured well documents into structured, searchable data
WBT's AI data extraction engine reads and interprets PDF reports, completion summaries, and operational documents — automatically pulling key parameters, dates, depths, and readings into your well database. Eliminate manual transcription errors and hours of data entry.
AI Barrier Verification & Schematic
Automated well schematic generation and barrier status verification
The AI Barrier Verification module automatically generates well schematics from completion records and evaluates barrier element status against well pressure and integrity data. It flags potential barrier failures before they become well control events.
AI Post Job Evaluation
Automated comparison of planned vs. actual job performance
After every well service job, WBT's AI engine automatically compares planned objectives against actual outcomes — identifying gaps, quantifying NPT, and generating specific improvement recommendations. What used to take days now takes minutes.
AI Cement Operation Analysis
Instant cement log interpretation and zonal isolation scoring
The AI CEM Advisor analyzes cement bond logs and evaluates zonal isolation quality across the entire wellbore. It provides color-coded isolation maps, barrier adequacy scores, and flags specific depth intervals requiring remedial action — all automatically.
Annulus Pressure Analysis
Structured analysis of annulus pressure across all barriers
Systematic monitoring and analysis of annulus pressures across A, B, and C annuli. Track trends, calculate MAASP, categorize SAP severity, and generate management action recommendations — with full historical traceability.
Annulus Pressure Anomaly Detection
AI detection of abnormal pressure signatures before they escalate
Machine learning models trained on historical annulus pressure data detect anomalies in real time — distinguishing thermal cycling from true barrier failures, and identifying pressure build patterns that precede integrity events.
Wells Equipment Failure Analysis
AI-powered failure pattern recognition and predictive maintenance
Analyze historical equipment failure data across your well portfolio to identify patterns, predict future failures, and optimize replacement intervals. Particularly powerful for DHSV valves, wellhead components, and downhole equipment.
Advanced AI Risk Analysis
Multi-dimensional well risk scoring powered by machine learning
WBT's advanced risk analysis engine combines production data, integrity records, intervention history, and real-time well parameters to generate a comprehensive risk score for every well. Predictive models flag high-risk wells before incidents occur.
Ready to Put AI to Work on Your Wells?
Schedule a live demonstration to see these AI use cases running on real well data.