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Well placement and control optimization for WAG/SAG processes using ensemble-based method

delete2017-06-01
delete27
PRE
AI
张
张阳 (Yang Zhang)
R
Ranran Lu
F
Fahim Forouzanfar *
DOI:10.1016/j.compchemeng.2017.02.020delete
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摘要

摘要

En 中文
Compared to the CO2 flooding, the alternative injection of water/surfactant solution and CO2 gas (WAG/SAG) can provide good control over the mobility ratio, stabilize the displacement front and improve the macroscopic sweep efficiency of the flooding. We show that the performance of a WAG/SAG flood can be significantly improved by optimizing the locations and optimizing rates or pressure in order to avoid gas/water channelling and improve sweep efficiency. To maximize the life-cycle net present value (NPV) for a WAG/SAG process, we implemented a steepest ascent algorithm combined with a simplex stochastic gradient to find the optimal well trajectories and controls. Both simultaneous and sequential approaches for the joint optimization of well locations and controls are investigated for a synthetic channelized reservoir model. Well spacing constraints are also included in the optimization process using the penalty method in order to keep the distance between wells greater than a specified minimum value. Four synthetic reservoir problems are studied and optimized to illustrate the viability of the methodology. (C) 2017 Elsevier Ltd. All rights reserved.
Keyword:
JOINT OPTIMIZATION
WAG PROCESS
OPERATION
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期刊

C
Computers and Chemical Engineering
IF:
3.9
论文数:
8.1K
被引数:
1.7W

机构

C
China National Petroleum Corporation
学者数:
1.0W
论文数: 7.1K
被引数: 2
U
University of Tulsa
学者数:
1.6K
论文数: 1.4K
被引数: 1.6K
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