id3 Benchmark: Data Quality
AI-Powered Anomaly Detection and Quality Monitoring for High-Frequency Sensor Data
id3 Data Quality is designed to detect anomalies in high-frequency sensor streams the moment they appear, ensuring that every downstream calculation, KPI, and benchmark is built on clean and reliable data.
Poor data quality silently corrupts even the most sophisticated analytics. id3 Data Quality solves this by combining transparent rules-based monitoring with an AI engine trained to spot complex, multi-sensor anomalies that traditional checks miss. Available as a standalone service or as an integrated layer within the id3 suite, it gives drilling teams and data providers a continuous, automated assurance that the data they rely on is accurate, complete, and trustworthy.
Key Features
Rules-Based Monitoring
Univariate checks for value ranges, spikes, jumps, frozen sensors, data delays, and gaps — fully configurable to match your operational thresholds and tolerances.
AI-Based Anomaly Detection
A Temporal Convolutional Network (TCN) analyses all sensors together to surface subtle, multi-dimensional anomalies that single-sensor rules cannot catch — learning your sensor network’s normal behaviour and adapting over time.
Real-Time Dashboards
Two dedicated interfaces deliver day-to-day visibility on live anomalies and consolidated KPIs on data provider performance, broken down by well, time interval, and anomaly type.
