Forecast of oil reserves and production in Daqing oilfield of China

被引:50
|
作者
Tang, Xu [1 ]
Zhang, Baosheng [1 ]
Hook, Mikael [2 ]
Feng, Lianyong [1 ]
机构
[1] China Univ Petr, Sch Business Adm, Beijing, Peoples R China
[2] Uppsala Univ, Dept Phys & Astron, SE-75121 Uppsala, Sweden
关键词
Daqing oilfield; System dynamics; Forecasting model; PRODUCTION PREDICTION;
D O I
10.1016/j.energy.2010.03.043
中图分类号
O414.1 [热力学];
学科分类号
摘要
As China' largest oilfield, Daqing is of great importance to China, this paper analyzes the status of the Daqing oilfield and forecasts its ultimate recoverable reserves by use of the URR model. The forecast results are presented for three scenarios which show that the ultimate recoverable reserves in Daqing oilfield are 3574.0 million tons in the optimistic scenario, 3169.3 million in the base case scenario and 3033.3 million in the pessimistic scenario, respectively. A system dynamics model is established and the quantitative relationships between variables in the model are determined. Total oil production, remaining recoverable reserves, annual newly discovered reserves, and the degree of reserves recovery before 2060 are simulated under the three scenarios by use of the system dynamics model. The forecast results show that the future oil production in Daqing oilfield will continue declining, under the base case scenario, from 41.6 million tons in 2007 to 8.0 million tons in 2060. For Chinese policy-makers, it is worth paying attention to the problem of whether oil production in new oilfields can effectively make up for the decline in production of the large, old oilfields. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3097 / 3102
页数:6
相关论文
共 50 条
  • [1] Forecast of Oil Production in Daqing Oilfield based on System Dynamics
    Tang, Xu
    Zhang, Baosheng
    Feng, Lianyong
    Yuan, Lei
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 8098 - 8103
  • [2] A Preliminary Forecast of the Production Status of China's Daqing Oil field from the Perspective of EROI
    Xu, Bo
    Feng, Lianyong
    Wei, William X.
    Hu, Yan
    Wang, Jianliang
    SUSTAINABILITY, 2014, 6 (11) : 8262 - 8282
  • [3] Technologies of enhancing oil recovery by chemical flooding in Daqing Oilfield, NE China
    Sun Longde
    Wu Xiaolin
    Zhou Wanfu
    Li Xuejun
    Han Peihui
    PETROLEUM EXPLORATION AND DEVELOPMENT, 2018, 45 (04) : 673 - 684
  • [4] Technologies of enhancing oil recovery by chemical flooding in Daqing Oilfield, NE China
    SUN Longde
    WU Xiaolin
    ZHOU Wanfu
    LI Xuejun
    HAN Peihui
    Petroleum Exploration and Development, 2018, 45 (04) : 673 - 684
  • [5] Progress in pilot testing of microbial-enhanced oil recovery in the Daqing oilfield of north China
    Le, Jian-Jun
    Wu, Xiao-Lin
    Wang, Rui
    Zhang, Ji-Yuan
    Bai, Lu-Lu
    Hou, Zhao-Wei
    INTERNATIONAL BIODETERIORATION & BIODEGRADATION, 2015, 97 : 188 - 194
  • [6] Domestication of Oil-degrading Strains and Bioremediation of Oil-contaminated Soil in Daqing Oilfield
    Zhao, Ling
    Xie, Jiacai
    Zhu, Nanwen
    Oh, Kokyo
    Kimochi, Yuzuru
    2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 6259 - +
  • [7] Estimate of Hot Dry Rock Geothermal Resource in Daqing Oilfield, Northeast China
    Jiang, Guangzheng
    Wang, Yi
    Shi, Yizuo
    Zhang, Chao
    Tang, Xiaoyin
    Hu, Shengbiao
    ENERGIES, 2016, 9 (10):
  • [8] Remaining Oil Distribution Law and Development Potential Analysis after Polymer Flooding Based on Reservoir Architecture in Daqing Oilfield, China
    Fu, Hongtao
    Bai, Zhenqiang
    Guo, Hu
    Yang, Kena
    Guo, Chunping
    Liu, Mingxi
    Liang, Lihao
    Song, Kaoping
    POLYMERS, 2023, 15 (09)
  • [9] Polymer flooding technology in Daqing oilfield
    Li J.
    Zhao Z.
    Li X.
    Wang Z.
    Li N.
    Shiyou Xuebao/Acta Petrolei Sinica, 2019, 40 (09): : 1104 - 1115
  • [10] Multi-system phytoremediation on oil-contaminated alkaline soil in Daqing oilfield
    Dai, Chunlei
    Chen, Lisha
    Liu, Xiaoyan
    Hu, Yan
    Liu, Shanshan
    PROGRESS IN ENVIRONMENTAL SCIENCE AND ENGINEERING (ICEESD2011), PTS 1-5, 2012, 356-360 : 1597 - +