Table 3 Machine learning model features for the single-depth and distributed pressure modeling.
From: Well-scale demonstration of distributed pressure sensing using fiber-optic DAS and DTS
Random Forest Model | Predictor (Input variables) | Target (Output variable) | Number of datapoints (Training/Testing data) | |
|---|---|---|---|---|
Single-depth analysis | DAS (all frequency bands), DTS | ∆P | 2668/1144 (Dataset-1) | |
553/238 (Dataset-2) | ||||
Distributed depth analysis | DAS (Band-LF), DTS, Time | ∆P | 7624/7624 (Dataset-1) | |
1582/1582 (Dataset-2) | ||||
