Natural Gas Processing: Model Predictive Control that Boosts Throughput, Yield & Safety

17 Pages

This paper explains how Model Predictive Control (MPC) helps natural-gas processing plants overcome constrained throughput, high energy use, variable gas quality, and unstable processes. It shows, with diagrams and case examples (amine treating, cryogenic refrigeration, fractionation, sulfur recovery), how MPC coordinates multivariable interactions, runs closer to constraints, and increases NGL yield (up to 5.5%), throughput (up to 10%), and energy efficiency (up to 20%). Rockwell’s Pavilion8 MPC delivers predictive, autonomous optimization across complex units.

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Natural Gas Processing: Model Predictive Control that Boosts Throughput, Yield & Safety

Natural Gas Processing: Model Predictive Control that Boosts Throughput, Yield & Safety

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