DOWNLOAD THE HYDROCARBON PROCESSING ARTICLE
Data preparation is an important but often overlooked process modeling step. Each process is different, so the modeler should think carefully about the various data preparation assumptions.
Determining appropriate gridding of the data, understanding the best method for data alignment, incorporating the trajectory of variables for batch or process run models and collaborating extensively with the SME are all vital steps in building the best process model for process optimization and improvements.
Publication: Hydrocarbon Processing
Issue: August 2020
Reprinted with permission of Hydrocarbon Processing magazine and Gulf Publishing.