Simulation study of huff-n-puff air injection for enhanced oil recovery in shale oil reservoirs

被引:1
|
作者
Hu Jia [1 ,2 ]
James JSheng [1 ,2 ]
机构
[1] State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University
[2] Bob LHerd Department of Petroleum Engineering,Texas Tech
关键词
D O I
暂无
中图分类号
学科分类号
摘要
This paper is the first attempt to evaluate huff-n-puff air injection in a shale oil reservoir using a simulation approach. Recovery mechanisms and physical processes of huff-n-puff air injection in a shale oil reservoir are investigated through investigating production performance, thermal behavior, reservoir pressure and fluid saturation features. Air flooding is used as the basic case for a comparative study. The simulation study suggests that thermal drive is the main recovery mechanism for huff-n-puff air injection in the shale oil reservoir, but not for simple air flooding. The synergic recovery mechanism of air flooding in conventional light oil reservoirs can be replicated in shale oil reservoirs by using air huff-npuff injection strategy. Reducing huff-n-puff time is better for performing the synergic recovery mechanism of air injection. O2 diffusion plays an important role in huff-n-puff air injection in shale oil reservoirs. Pressure transmissibility as well as reservoir pressure maintenance ability in huff-n-puff air injection is more pronounced than the simple air flooding after primary depletion stage. No obvious gas override is exhibited in both air flooding and air huff-n-puff injection scenarios in shale reservoirs. Huffn-puff air injection has great potential to develop shale oil reservoirs. The results from this work may stimulate further investigations.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Study on CO2 huff-n-puff of horizontal wells in continental tight oil reservoirs
    Tang Mingming
    Zhao Hongyu
    Ma Huifang
    Lu Shuangfang
    Chen Yuming
    [J]. FUEL, 2017, 188 : 140 - 154
  • [42] CO2 Huff-n-Puff after Surfactant-Assisted Imbibition to Enhance Oil Recovery for Tight Oil Reservoirs
    Wei, Jianguang
    Zhou, Xiaofeng
    Zhou, Jiumu
    Li, Jiangtao
    Wang, Anlun
    [J]. ENERGY & FUELS, 2020, 34 (06) : 7058 - 7066
  • [43] The Supercritical CO2 Huff-n-puff Experiment of Shale Oil Utilizing Isopropanol
    Shang, Shengxiang
    Dong, Mingzhe
    Gong, Houjian
    [J]. 2017 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION (ESMA2017), VOLS 1-4, 2018, 108
  • [44] Recovery Mechanisms for Cyclic (Huff-n-Puff) Gas Injection in Unconventional Reservoirs: A Quantitative Evaluation Using Numerical Simulation
    Hoffman, B. Todd
    Reichhardt, David
    [J]. ENERGIES, 2020, 13 (18)
  • [45] CO2-EOR mechanisms in huff-n-puff operations in shale oil reservoirs based on history matching results
    Alfarge, Dheiaa
    Wei, Mingzhen
    Bai, Baojun
    [J]. FUEL, 2018, 226 : 112 - 120
  • [46] Comparison of huff-n-puff gas injection and solvent injection in large-scale shale gas condensate reservoirs
    Sharma, Sharanya
    Sheng, James J.
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2018, 52 : 434 - 453
  • [47] Experimental investigation on enhancing oil recovery of volcanic fractured oil reservoir by gas injection huff-n-puff considering gas diffusion
    Yao, Chuanjin
    Chen, Nan
    Liu, Baishuo
    Liu, Yaqian
    Xuan, Yangyang
    Yang, Huichao
    [J]. Physics of Fluids, 2024, 36 (12)
  • [48] Experimental study on the feasibility of nitrogen huff-n-puff in a heavy oil reservoir
    Zou, Binyang
    Pu, Wanfen
    Zhou, Xiang
    Du, Daijun
    Shi, Yan
    Xia, Wei
    Zeng, Fanhua
    [J]. CHEMICAL ENGINEERING RESEARCH & DESIGN, 2022, 184 : 513 - 523
  • [49] Investigating phase dynamics of reservoir fluids in CO2 huff-n-puff enhanced oil recovery
    Wang, Zhenyuan
    Lu, Haiwei
    Zhao, Chuanfeng
    Zhu, Enze
    [J]. GEOENERGY SCIENCE AND ENGINEERING, 2024, 238
  • [50] Performance evaluation of DME-CO2 huff-n-puff and continuous DME injection in heavy oil reservoirs through numerical simulation
    Bakhsh, Allah
    Shaoran, Ren
    Shaikh, Azizullah
    Din, Syed Jamal Ud
    Khan, Zeeshan
    Ali, Imtiaz
    Liang, Zhang
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2024,