No abstract

Relative small improvements in the operational efficiency of gas trunkline systems can generate significant business value due to the large volumes of gas running through the system. Production deferment, off-spec gas, ramp up time, etc. can be greatly reduced by accurate control of the gas flow within constraints on gas quality, pressure regime, liquid holdup, etc. In this paper we will show how the workflow of gas trunkline management can be improved by a successful combination of Shell Model Optimizing Control (SMOC, Shell's proprietary MPC technology) and the web-based on-line dynamic modeling environment Lagosa, Shell's proprietary Liquid & Gas Online Scenario Advisor (Lagosa). The case study entails an operator support system that provides advice to the operator on how to manage the flow rate of ten platforms such that the flow rate is optimized while satisfying constraints on e.g. landing pressure and gas quality. In this paper we will to share the learning from this cross-business implementation project. Learnings will be shared from a workflow/people perspective as well as from a technology perspective.