CO2海底咸水层封存波及范围地震监测方法研究:以Sleipner CCS项目为例

彭文睿, 邢磊, 李倩倩, 王旭

彭文睿,邢磊,李倩倩,等. CO2海底咸水层封存波及范围地震监测方法研究:以Sleipner CCS项目为例[J]. 海洋地质与第四纪地质,2025,45(1): 210-224. DOI: 10.16562/j.cnki.0256-1492.2024040401
引用本文: 彭文睿,邢磊,李倩倩,等. CO2海底咸水层封存波及范围地震监测方法研究:以Sleipner CCS项目为例[J]. 海洋地质与第四纪地质,2025,45(1): 210-224. DOI: 10.16562/j.cnki.0256-1492.2024040401
PENG Wenrui,XING Lei,LI Qianqian,et al. On seismic monitoring of the scope of CO2 storage in the seabed saline aquifers: Taking the Sleipner CCS project as an example[J]. Marine Geology & Quaternary Geology,2025,45(1):210-224. DOI: 10.16562/j.cnki.0256-1492.2024040401
Citation: PENG Wenrui,XING Lei,LI Qianqian,et al. On seismic monitoring of the scope of CO2 storage in the seabed saline aquifers: Taking the Sleipner CCS project as an example[J]. Marine Geology & Quaternary Geology,2025,45(1):210-224. DOI: 10.16562/j.cnki.0256-1492.2024040401

CO2海底咸水层封存波及范围地震监测方法研究:以Sleipner CCS项目为例

基金项目: 中央高校基本科研业务费专项(202261021,202262008);青岛市科技惠民示范专项项目(23-2-8-cspz-5-nsh);青岛新能源山东省实验室开放基金项目(QNESLOP202304)
详细信息
    作者简介:

    彭文睿(1999—),女,硕士研究生,研究方向为海洋地震勘探,E-mail:pwr@stu.ouc.edu.cn

    通讯作者:

    李倩倩(1985—),女,博士研究生,主要从事海洋地质研究,E-mail:lqqbqt@163.com

  • 中图分类号: P736

On seismic monitoring of the scope of CO2 storage in the seabed saline aquifers: Taking the Sleipner CCS project as an example

  • 摘要:

    咸水层封存占CO2封存潜力的98%,过去针对CO2海底咸水层波及范围四维地震监测的研究多是通过时延地震资料之间的差异性进行定性分析,缺少测井资料的约束。本文基于Sleipner咸水层CO2封存项目采集的测井和四维地震资料,对CO2海底咸水层封存波及范围地震监测方法进行研究。通过岩石物理建模,应用井控地震属性分析技术研究CO2注入过程中CO2-盐水两相介质变化引起的各向异性响应特征,优选对CO2饱和度变化敏感的地震属性,通过地震正反演相结合的多属性分析实现对时移CO2咸水层封存波及范围监测。研究发现随着CO2饱和度的增加,饱和岩石的体积模量、体积密度、纵波速度和横波速度均有所下降,正演模拟结果中总体振幅升高,且随着CO2注入量的增加,其振幅变化幅度减小,均方根振幅属性对CO2饱和度变化最为敏感。在注入期间,CO2在层内主要沿SSW-NNE运移,并在构造高部位聚集;垂向上,CO2从注入点向上层运移,下层达到最大波及范围的时间早于上层,结合储层性质和构造解释结果,CO2在储层内的波及范围主要受各项异性渗透率和构造高低控制。

    Abstract:

    CO2 saline aquifer sequestration accounts for 98% of the total sequestration potential. In the past, most of the studies on 4D seismic monitoring of the CO2 seabed saline aquifer spread range were qualitatively analyzed by the variability of time-delayed seismic data, which lacked the constraints of well-logging data. Therefore, seismic monitoring methods for the spread range of CO2 seabed saline aquifer storage based on the logging and 4D seismic data collected by the Sleipner Saline Aquifer CO2 Sequestration Project in Norway were investigated. Based on the logging and 4D seismic data collected in the project, the anisotropic response characteristics caused by the change of the CO2-saline two-phase medium in the process of CO2 injection were studied by rock physics modelling, the technique of well control seismic attribute analysis was applied, the seismic attributes that are sensitive to the change of the saturation degree of CO2 were selected, and the seismic forward and inverse analysis were combined to better understand the time-shifted CO2 saline aquifer spread range. Results show that the bulk modulus, bulk density, primary wave velocity, and shear wave velocity of the saturated rocks decreased with the increase of CO2 saturation, the overall amplitude increased in the forward simulation results, the amplitude changes decreased with the increase of CO2 injection, and the root-mean-square (RMS) amplitude attribute was the most sensitive to the change of CO2 saturation. During the injection period, CO2 was mainly transported along the SSW-NNE and accumulates in the higher part of the tectonic structure. Vertically, CO2 was transported from the injection point to the upper layer, and the lower layer reached the maximum spread range earlier than the upper layer. Combined with the nature of the reservoir and the structural interpretation results, the spreading range of CO2 in the reservoir was controlled by mainly the anisotropic permeability and the structural high or low levels.

  • 图  1   Sleipner项目CO2封存点及Utsira地层注入示意图[21]

    Figure  1.   Schematic representation of the Sleipner project CO2 storage site and injection in the Utsira Formation[21]

    图  2   CO2日均注入体积及累计注入量

    Figure  2.   CO2 Average daily injection volume and cumulative injection

    图  3   Utsira储层区域剖面[27]

    Figure  3.   WSW-ENE orientation of the Utsira reservoir regional profile [27]

    图  4   15/9-13井GR测井曲线图(a)及2010年Inline 187地震剖面(b)

    数据来自https://CO2datashare.org。

    Figure  4.   Well 15/9-13 GR logging profile (a), and the Inline 187 seismic profile in 2010 (b)

    Data from https://CO2datashare.org.

    图  5   15/9-13井砂泥岩速度分析图

    Figure  5.   Velocity analysis of Well 15/9-13 sand mudstone

    图  6   温度、压力、CO2密度随深度的变化曲线[27]

    Figure  6.   Variation curves of temperature, pressure, and CO2 density with depth[27]

    图  7   四维地震剖面对比显示3个可能的CO2羽流烟囱

    a:1994年基准地震剖面,b:2010年时移地震剖面。

    Figure  7.   Comparison of 4D seismic profiles showing three possible CO2 plume chimneys

    a: The 1994 reference seismic profile, b: 2010 time-shifted seismic profile.

    图  8   不同CO2饱和度的纵波(a)及横波(b)速度曲线对比

    Figure  8.   Comparison of primary wave velocity profiles (a) and shear wave velocity profiles (b) for different CO2 saturations

    图  9   随CO2饱和度升高纵横波均方根速度变化趋势

    Figure  9.   Trend of root-mean-square velocity of longitudinal and transverse waves with increasing CO2 saturation

    图  10   不同CO2饱和度的地震记录

    Figure  10.   Seismic profiles with different CO2 saturations

    图  11   不同CO2饱和度均方根振幅属性(a)及均方根振幅属性差(b)

    Figure  11.   RMS amplitude attributes (a) and difference in RMS amplitude attributes (b) for different CO2 saturations

    图  12   不同CO2饱和度瞬时频率属性(a)及瞬时频率属性差(b)

    Figure  12.   Instantaneous frequency attributes (a) and difference in instantaneous frequency attributes (a) for different CO2 saturations

    图  13   不同CO2饱和度瞬时相位属性(a)及 瞬时相位属性差(b)

    Figure  13.   Instantaneous phase attributes (a) and the difference in instantaneous phase attributes (b) for different CO2 saturations

    图  14   不同CO2饱和度瞬时Q值属性(a)及瞬时相位属性差(b)

    Figure  14.   Instantaneous Q attributes (a) and the difference in instantaneous phase attributes (b) for different CO2 saturations

    图  15   解释层位Xline 1164

    Figure  15.   Interpreting the Layer Xline 1164

    图  16   构造解释结果

    Figure  16.   Results of tectonic interpretation

    图  17   Sleipner咸水层封存第5层四维地震均方根振幅属性

    Figure  17.   4-D seismic RMS amplitude attributes for Layer 5 of the Sleipner saline aquifer storage

    图  18   挪威Sleipner咸水层封存项目CO2平面波及范围四维地震属性预测结果

    Figure  18.   Predicted 4D seismic attributes of CO2 planar spread range for the Sleipner saline aquifer storage project in Norway

    表  1   15/9-A-16井不同深度岩芯样本主要岩石和碎屑成分百分比

    Table  1   Percentage of major rock and debris compositions in core samples from Wells 15/9-16 at different depths

    碎屑含量/%
    850~860 m 890~900 m 10001010 m
    石英 50.7 66.7 76.7
    长石 7.3 3.7 2.7
    方解石 18 17 7.7
    页岩 4.3 1 4.7
    下载: 导出CSV

    表  2   储层中矿物成分和流体的弹性模量及密度

    Table  2   Elastic modulus and density of mineral components and fluids in reservoirs

    体积模量/GPa 剪切模量/GPa 密度/(g/cm3)
    石英 37.00 44.00 2.65
    长石 37.50 15.00 2.70
    方解石 76.80 32.00 2.71
    盐水 2.30 0 1.03
    CO2 0.075 0 0.70
    下载: 导出CSV
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  • 收稿日期:  2024-04-03
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