Xinjiang Petroleum Geology ›› 2025, Vol. 46 ›› Issue (5): 591-599.doi: 10.7657/XJPG20250509

• APPLICATION OF TECHNOLOGY • Previous Articles     Next Articles

Study on CO2 Storage and CH4 Recovery Enhancement in Tight Sandstone Gas Reservoirs

JIANG Yi1,2(), YANG Shenglai1(), BAI Haoyan1, CHEN Yingli2, MEI Qingyan2, WANG Beidong1   

  1. 1. China University of Petroleum (Beijing), a.State Key Laboratory of Petroleum Resources and Engineering; b.School of Petroleum Engineering, Beijing 102249, China
    2. Research Institute of Exploration and Development, Southwest Oil & Gas Field Company, PetroChina, Chengdu, Sichuan 610041, China
  • Received:2024-12-12 Revised:2025-01-08 Online:2025-10-01 Published:2025-09-30

Abstract:

The CO2 storage and enhanced gas recovery (CS-EGR) technology represents a promising option for boosting production in the context of “dual carbon” goals. However, its application in tight sandstone gas reservoirs has been scarcely studied, and its field performance remains unclear. This study establishes a reservoir-scale numerical model based on a comprehensive analysis of gas-water two-phase flow mechanisms and stress sensitivity across three reservoir types. Using this model, the adaptability of CO2 injection to reservoirs, CO2 migration behaviors, CO2 trapping mechanisms, impacts of movable water on the CS-EGR process, and optimization of engineering parameters for CS-EGR are analyzed. It is indicated that CS-EGR is viable only for Class Ⅰ reservoirs, but less performed in Class Ⅱ and Class Ⅲ reservoirs. In terms of CO2 trapping mechanism, both structural trapping and residual trapping account for 95.8%, while CO2 mineralization and storage contributes 0.15%. For Class Ⅰ reservoirs, the optimal CO2 injection rate is 10,000 m3/d, the cumulative production of CH4 is 0.146×108 m3 when CO2 breaking through, and the cumulative storage of CO2 is 0.794×108 m3. Movable water significantly hinders CO2 migration and increases the risk of gas well flooding.

Key words: tight sandstone gas reservoir, pore throat structure, gas recovery, CO2 storage, sensitivity analysis

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