Real-time analysis and prediction using integrated data (rapid) for fracture driven interaction (fdi) diagnostics

Abstract

Implementations described and claimed herein provide systems and methods for detection, tracing, and prediction of frac hits (or other type of fracture driven interactions) via automated approaches using a variety of multi-disciplinary data. In some implementations, frac hits may be automatically detected in real-time using production data including pressure and production water, gas, and oil rates, as well as other in-well and well-head measurements via both deterministic and AI-based methods. The detected frac hit information may then be combined with completion data to identify likely subsurface location candidates for frac hit origins. Those location candidates can then be compared with subsurface fault distribution to identify the communication pathways for fluid and/or pressure. The above steps form a complete “Monitoring-Tracing-Prediction-Alerting” loop for frac hit diagnostics which can be used to support the completion and production of wells in real-time or in historical context.

Dependencies are inferred from the claim text.