The document discusses applying data analytics to improve continuous process operation. It describes developing models using process data to enable online fault detection and quality parameter prediction. A field trial was conducted on a CO2 recovery process that uses a 2-stage flash skid. The data analytics models allow operators to more quickly respond to conditions impacting process operation and quality.
Key Success Factors Easy Out-of-Box (base offering) Channel can deliver Eliminates extra system integration Applicable across multiple markets Enhances Operations Experience Makes life easier for operators Less work, fewer incidents Provides insight into process operation System Differentiation & Devices Pull-through Delivers PlantWeb promise to reduce variability and increase availability Incorporates intelligent device information Technology Differentiation Batch Analytics
1. If a fault is indicated in the analytics overview screen, then selecting the batch number will bring up the Fault Detection view. 2. If either Fault Detection plot exceeds or approaches the upper control limit of 1.0, click on that point in the trend and -> Select the Parameter in the lower corner of the screen that contributed to the fault 3a. Evaluate the parameter trends from process operation standpoint -> take corrective action if necessary 3b. Inspect impact of fault on quality prediction plot to find out how quality may be affected