WDestimator Estimating Missing Data in Intelligent Wells

The system performs preliminary actions by detecting faulty data patterns and triggering estimation processes before complete data loss occurs. The WDestimator proactively identifies gaps in data streams and initiates reconstruction using engineering logics and artificial intelligence models to prevent information loss before it becomes critical.

The patent introduces an intermediary estimation system (WDestimator) that mediates between faulty data sources and the monitoring system. This intermediary uses reservoir management logics, production engineering knowledge, and AI models to generate estimated values that bridge gaps in unreliable data streams, ensuring continuous monitoring capability despite component malfunctions.

The WDestimator system is designed as a universal platform that handles multiple types of faulty data from various intelligent field components using a single integrated architecture. It combines reservoir management logics, production engineering knowledge, and artificial intelligence models into one multi-functional system that can estimate different parameters (pressure, temperature, flow rates) across different well conditions, reducing the need for separate specialized systems.

The system implements self-service by automatically detecting faulty data, selecting appropriate estimation methods from its knowledge base, executing the estimation algorithms, and substituting values without human intervention. The WDestimator autonomously monitors data quality, triggers reconstruction processes, and validates results, reducing operational complexity despite the sophisticated underlying technologies.