Scholarlink

<p>Reducing atmospheric CO<sub>2</sub>, the main driver of global warming, is essential for climate sustainability. Geological storage offers a promising solution for large-scale, long-term sequestration; however, challenges remain in predicting subsurface CO<sub>2</sub> behavior and tracking its migration underground. Laboratory-scale experiments that replicate subsurface storage conditions provide valuable benchmarks for validating numerical simulations. This study investigated CO<sub>2</sub> migration using a geotechnical centrifuge at 50 G. The setup combined a pH-sensitive solution for visualization and a 12-sensor array for pressure monitoring during injection. Multilevel pressure data and image sequences were analyzed across early, middle, and late stages of the test. The early period was marked by a pressure increase associated with CO<sub>2</sub> entry into the sample. Afterwards, the injection rate was adjusted to 2&#xa0;ml/min, and a gas cap formed, followed by continuous CO<sub>2</sub> vertical and lateral migration. During the mid-stage (5&#xa0;ml/min), flank pressure declined by 0.07–0.08&#xa0;kPa/s, while the drop in the central sensors was approximately 0.11&#xa0;kPa/s. At a later period (10&#xa0;ml/min), gravity-driven instabilities developed, followed by a second gas cap, and the pressure beneath seal <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\:S₁\)</EquationSource> </InlineEquation> increased from 81 to 108&#xa0;kPa, followed by a dissolution-induced drop to approximately 92&#xa0;kPa as the CO<sub>2</sub> plume advanced into fault-bounded zones. Dimensionless numbers were used to assess flow regimes and transport mechanisms, as well as to evaluate model-to-prototype scaling laws across the test periods. These findings demonstrate the potential of centrifuge-based hypergravity experiments for CO<sub>2</sub> sequestration research and provide quantitative datasets for benchmarking and validating numerical simulations.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Hypergravity experiments on meter-scale porous media flow for geological carbon sequestration

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月5日

查看全文
  • Sebastian Lopez-Saavedra,
  • Mahsa Shafaei Bajestani,
  • Dmytro Pantov,
  • Rick Chalaturnyk,
  • Gonzalo Zambrano-Narvaez

摘要

Reducing atmospheric CO2, the main driver of global warming, is essential for climate sustainability. Geological storage offers a promising solution for large-scale, long-term sequestration; however, challenges remain in predicting subsurface CO2 behavior and tracking its migration underground. Laboratory-scale experiments that replicate subsurface storage conditions provide valuable benchmarks for validating numerical simulations. This study investigated CO2 migration using a geotechnical centrifuge at 50 G. The setup combined a pH-sensitive solution for visualization and a 12-sensor array for pressure monitoring during injection. Multilevel pressure data and image sequences were analyzed across early, middle, and late stages of the test. The early period was marked by a pressure increase associated with CO2 entry into the sample. Afterwards, the injection rate was adjusted to 2 ml/min, and a gas cap formed, followed by continuous CO2 vertical and lateral migration. During the mid-stage (5 ml/min), flank pressure declined by 0.07–0.08 kPa/s, while the drop in the central sensors was approximately 0.11 kPa/s. At a later period (10 ml/min), gravity-driven instabilities developed, followed by a second gas cap, and the pressure beneath seal \(\:S₁\) increased from 81 to 108 kPa, followed by a dissolution-induced drop to approximately 92 kPa as the CO2 plume advanced into fault-bounded zones. Dimensionless numbers were used to assess flow regimes and transport mechanisms, as well as to evaluate model-to-prototype scaling laws across the test periods. These findings demonstrate the potential of centrifuge-based hypergravity experiments for CO2 sequestration research and provide quantitative datasets for benchmarking and validating numerical simulations.