Optimization of cryogenic NGL recovery plants using dynamic online process simulation—Part 2

This article—a continuation of the first installment published in the August issue of Gas Processing & LNG—discusses DCP Midstream’s approach to plant optimization using dynamic process models and present some actual operating examples demonstrating the benefits, such as:  The continuous optimization of plant performance, accounting for changes in feed conditions, residue sales pressure, ambient temperature and other factors  Allowing for more rigorous process modeling while avoiding convergence issues commonly encountered with similarly complex steady-state models  Models that can include additional engineering data that answer more complex what-if analyses  Real-time,