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Lost Gas Mechanism and Quantitative Characterization during Injection and Production of Water-Flooded Sandstone Underground Gas Storage

Author

Listed:
  • Jinkai Wang

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Hengyi Liu

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Jinliang Zhang

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China)

  • Jun Xie

    (College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

A gas–water two-phase fluid is present in a reservoir before a water-flooded sandstone gas reservoir is rebuilt. Therefore, in the process of injection and production of the rebuilt underground gas storage, the injected gas is easily blocked by the water in the pores, and the efficiency is low, resulting in a significant loss of gas. The study completely utilizes the geological data and dynamic operation monitoring data of a water-flooded sandstone underground gas storage and clarifies the rule of the gas–water three-phase seepage in a high-intensity injection–production process. Moreover, the main control factors of the low efficiency of this type of underground gas storage are clarified. The lost gas generated in the injection–production process is described from two aspects: microcosmic experiment and macroscopic law analysis. The type, mechanism, and occurrence state of the loss gas are clearly defined, its main type is “water trapped gas”, it formed when the gas rushing into the water area under high pressure and surrounded by water, and its occurrence of this kind of lost gas is mainly sporadic or continuous free gas. A gas–water two-phase mathematical model that can simulate the high-intensity injection–production process is set up according to the experimental result, this model is used to simulate the operation process of the Ban 876 underground gas storage. Based on the simulation results, the gas–water macroscopic movement rule and macroscopic accumulation mode of the lost gas are defined, and then the collection area of the lost gas is predicted and quantitatively described. The calculation results show that the lost gas in one cycle is about 775 × 10 4 m 3 , which are mainly concentrated in the inner of the gas-water transition zone. According to the numerical simulation result, six new wells have been designed to develop its internal lost gas, they all have good predictions, can increase the working gas volume of 3000 × 10 4 m 3 and reduce the single cycle lost gas by 50%, which is only 326 × 10 4 m 3 . This provides guidance for the expansion and exploitation of the same type of water-flooded sandstone underground gas storage.

Suggested Citation

  • Jinkai Wang & Hengyi Liu & Jinliang Zhang & Jun Xie, 2018. "Lost Gas Mechanism and Quantitative Characterization during Injection and Production of Water-Flooded Sandstone Underground Gas Storage," Energies, MDPI, vol. 11(2), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:272-:d:128332
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    References listed on IDEAS

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    1. Yiyu Lu & Shaojie Zuo & Zhaolong Ge & Songqiang Xiao & Yugang Cheng, 2016. "Experimental Study of Crack Initiation and Extension Induced by Hydraulic Fracturing in a Tree-Type Borehole Array," Energies, MDPI, vol. 9(7), pages 1-15, June.
    2. Yu Wang & Xiao Li & Jianming He & Zhiheng Zhao & Bo Zheng, 2016. "Investigation of Fracturing Network Propagation in Random Naturally Fractured and Laminated Block Experiments," Energies, MDPI, vol. 9(8), pages 1-15, July.
    3. Si Le Van & Bo Hyun Chon, 2017. "Applicability of an Artificial Neural Network for Predicting Water-Alternating-CO 2 Performance," Energies, MDPI, vol. 10(7), pages 1-20, June.
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    Cited by:

    1. Wang, Jieming & Wang, Jinkai & Xu, Shujuan & Wu, Rui & Lv, Jian & Li, Zhi & Li, Chun & Zhang, Jinliang & Zhao, Lei & Xie, Jun & Zhang, Jianguo, 2022. "A novel mode for “three zones” collaborative reconstruction of underground gas storage and its application to large, low-permeability lithologic gas reservoirs," Energy, Elsevier, vol. 253(C).
    2. Mengqi Wang & Jun Xie & Fajun Guo & Yawei Zhou & Xudong Yang & Ziang Meng, 2020. "Determination of NMR T 2 Cutoff and CT Scanning for Pore Structure Evaluation in Mixed Siliciclastic–Carbonate Rocks before and after Acidification," Energies, MDPI, vol. 13(6), pages 1-29, March.
    3. Gao, Jidong & Kong, Debin & Peng, Yingfeng & Zhou, Yunzhu & Liu, Yuwei & Zhu, Weiyao, 2023. "Pore-scale mechanisms and hysteresis effect during multi-cycle injection and production process in underground hydrogen storage reservoir," Energy, Elsevier, vol. 283(C).
    4. Wang, Jinkai & Feng, Xiaoyong & Wanyan, Qiqi & Zhao, Kai & Wang, Ziji & Pei, Gen & Xie, Jun & Tian, Bo, 2022. "Hysteresis effect of three-phase fluids in the high-intensity injection–production process of sandstone underground gas storages," Energy, Elsevier, vol. 242(C).
    5. Lun Zhao & Jincai Wang & Libing Fu & Li Chen & Zhihao Jia, 2023. "Improve Oil Recovery Mechanism of Multi-Layer Cyclic Alternate Injection and Production for Mature Oilfield at Extra-High Water Cut Stage Using Visual Physical Simulation Experiment," Energies, MDPI, vol. 16(3), pages 1-13, February.

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