Publication: Online optimization for a plunger lift process in shale gas wells
Date
04-01-2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This paper presents a method for efficient optimization of a plunger lift process in shale gas wells. Plunger lift is a cyclic process consisting binary decision as well as continuous and discrete state variables. The time-series data comprising of surface measurements are converted into cycle-wise process-relevant performance outputs, while the binary manipulated variable is transformed into continuous threshold values. These transformed variables are used to develop a reduced order cycle-to-cycle model and corresponding receding horizon optimization problem that maximizes daily production while meeting operational constraints. The efficacy of the proposed algorithm is demonstrated on a simulated plunger lift process.
Description
Keywords
Hybrid system, Model predictive control, Multi-objective optimization, Plunger lift, Production optimization, Reduced order model