Optimum Control of Unwanted Fluid Production in Heterogeneous Reservoirs
Quoc P. Nguyen, Sanjay Srinivasan
The overall objective of this ongoing project is to minimize production of unwanted fluids such as conning water and channeling gas. Advances in intelligent well technology and simulation of reservoir-production system enable optimum inflow allocation of produced fluids through controlling flow trajectories in reservoirs.
However, real-time optimum control of flow is still challenging. To this end, we have developed an advanced method for optimization of production based on a feed-back optimum control concept. A model-based method allows optimization of inflow-control-device operation in conjunction with strategic updating of reservoir-smart well model under uncertainty. In this method, the response of production system to control variables is described by a high-order model. The validity of this method is tested on the dynamic optimum control of gas and water coning using a physical two-dimensional layered bead-pack and automatic inflow control valves. Distributed flow or pressure sensors are used to actuate the valves. Both dynamic (time-dependent valve settings) and static (fixed valve setting) control under uncertainty are investigated.