Model-based feedback control of oil production in oil-rim reservoirs under gas coning conditions

被引:17
|
作者
Siddhamshetty, Prashanth [1 ,2 ]
Kwon, Joseph Sang-Il [1 ,2 ]
机构
[1] Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX 77845 USA
[2] Texas A&M Univ, Texas A&M Energy Inst, College Stn, TX 77845 USA
关键词
Gas coning; Model predictive control; Boundary control problem; Two-phase flow; DISTRIBUTED-PARAMETER SYSTEMS; SUBSPACE IDENTIFICATION; REDUCTION; DESIGN; RATIO;
D O I
10.1016/j.compchemeng.2018.02.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In oil-rim reservoirs, a thin oil layer lies between an aquifer layer and a large gas-cap. Traditionally, oil has been produced at constant rate from the oil layer. However, the constant-rate oil production strategy may lead to suboptimal performance, as it does not take into account the process dynamics near the wellbore. Motivated by this, first, we present a gas/oil flow model to describe the oil flow dynamics near the wellbore. Second, the high-fidelity simulation result is used to construct a reduced-order model for the design of a Luenberger observer for state estimation. Lastly, a model-based feedback control system is designed to compute the optimal oil production profile that maximizes the net present value (NPV) of oil produced from a horizontal well before gas breakthrough. We demonstrate that the proposed control scheme is able to achieve a high NPV compared to other state-of-the-art oil production strategies. Published by Elsevier Ltd.
引用
收藏
页码:112 / 120
页数:9
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