Gas Production Optimization of Multi-Reservoir Fields using Branch-System

被引:2
|
作者
Roh, Jeongyong [1 ]
Lim, Jong-Se [2 ,4 ]
Park, Hui-June [3 ]
Kang, Joe M. [4 ]
机构
[1] KNOC, Anyang 431711, South Korea
[2] Korea Maritime Univ, Div Ocean Dev Engn, Busan 606791, South Korea
[3] Seoul Natl Univ, Res Inst Energy & Res, Seoul 151742, South Korea
[4] Seoul Natl Univ, Sch Civil Urban & Geosym Engn, Seoul 151742, South Korea
关键词
production system; branch-systems; multi-reservoir gas fields;
D O I
10.1080/12269328.2006.10541258
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The analysis of production systems in multi-reservoir gas fields is required to optimize production rates and enhance ultimate recovery. Conventional methods involve enormous computational efforts since production systems from reservoirs to a gathering station have been considered as one structure and production rates are optimized step-by-step in terms of objective functions. In this study, a new technique is developed to reduce the structural complexities of previous techniques and that consists of branch-systems including reservoirs and a surface branch- system without reservoirs. All branch- systems can be treated independently in this method. The decision variables including pressures and production rates in a branch- system, which are determined by the size of reservoir, the producing capacity of reservoir, and the initial pressure of reservoir, are updated simultaneously at every iteration step to accelerate convergence. The method can analyze multi-reservoir gas fields with a fixed gross production rate at the gathering station efficiently. The results for two fields have shown that the method required less computational efforts and provided relatively accurate outputs for conventional techniques applied to two fields.
引用
收藏
页码:73 / 80
页数:8
相关论文
共 50 条
  • [1] An optimizing method for production systems of multi-reservoir gas fields using the branch-system
    Roh, J.
    Lim, J. -S.
    Park, H. -J.
    Kang, J. M.
    [J]. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2008, 30 (01) : 10 - 19
  • [2] Multi-reservoir production optimization
    Huseby, Arne Bang
    Haavardsson, Nils F.
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 199 (01) : 236 - 251
  • [3] Multi-reservoir optimization for hydropower production using NLP technique
    Jothiprakash, V.
    Arunkumar, R.
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2014, 18 (01) : 344 - 354
  • [4] Multi-reservoir optimization for hydropower production using NLP technique
    V. Jothiprakash
    R. Arunkumar
    [J]. KSCE Journal of Civil Engineering, 2014, 18 : 344 - 354
  • [5] Multi-reservoir production optimization under uncertainty
    Huseby, Arne B.
    Haavardsson, Nils F.
    [J]. RELIABILITY, RISK AND SAFETY: THEORY AND APPLICATIONS VOLS 1-3, 2010, : 407 - +
  • [6] Optimal Operation of Multi-reservoir System for Hydropower Production Using Particle Swarm Optimization Algorithm
    Al-Aqeeli, Yousif H.
    Agha, Omar M. A. Mahmood
    [J]. WATER RESOURCES MANAGEMENT, 2020, 34 (10) : 3099 - 3112
  • [7] Optimal Operation of Multi-reservoir System for Hydropower Production Using Particle Swarm Optimization Algorithm
    Yousif H. Al-Aqeeli
    Omar M. A Mahmood Agha
    [J]. Water Resources Management, 2020, 34 : 3099 - 3112
  • [8] Multi-Reservoir System Optimization using Chlorophyll-a Trophic Indexes
    G. M. Sechi
    A. Sulis
    [J]. Water Resources Management, 2007, 21 : 849 - 860
  • [9] Multi-reservoir system optimization using chlorophyll-a trophic indexes
    Sechi, G. M.
    Sulis, A.
    [J]. WATER RESOURCES MANAGEMENT, 2007, 21 (05) : 849 - 860
  • [10] Parallel dynamic programming for multi-reservoir system optimization
    Li, Xiang
    Wei, Jiahua
    Yao, Chenchen
    Li, Tiejian
    Liu, Ronghua
    [J]. Qinghua Daxue Xuebao/Journal of Tsinghua University, 2013, 53 (09): : 1235 - 1240