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CO2 storage in the Paluxy formation at the Kemper County CO2 storage complex: Pore network properties and simulated reactive permeability evolution
International Journal of Greenhouse Gas Control ( IF 3.9 ) Pub Date : 2019-11-11 , DOI: 10.1016/j.ijggc.2019.102887
Jacob Bensinger , Lauren E. Beckingham

The Paluxy formation is being considered as a prospective CO2 reservoir at the Kemper County CO2 Storage Complex. Here, the pore and pore-throat size distributions and connectivity of the Paluxy formation is evaluated through analysis of 3D X-ray Computed Tomography images. In spite of resolution limitations that constrain the pore-throat sizes detectable by imaging, the permeability contributing pore-throats are successfully characterized through 3D imaging analysis. Image-obtained pore and pore-throat size distributions and pore connectivity are then utilized to construct pore network models and simulate permeability. After CO2 is injected, it will dissolve into formation brine and create conditions favorable for dissolution of primary minerals and precipitation of secondary minerals. These reactions will alter the porosity and permeability of the system to varying degrees depending on the spatial location of reactions. Here, the possible porosity-permeability evolution is simulated using pore network models considering mineral reactions occurring uniformly and non-uniformly throughout the network. For a given change in porosity, there is a large range of possible permeability outcomes. Depending on the extent and spatial location of mineral reactions, permeability may decrease by more than one order of magnitude as minerals precipitate. During dissolution, simulated permeability increases as much as 500%.



中文翻译:

CO 2存储在肯珀县CO的Paluxy形成2存储复杂的:孔隙网络属性和模拟反应性渗透率演化

在肯珀县CO 2储存综合体中,Paluxy地层被认为是潜在的CO 2储集层。在此,通过对3D X射线计算机断层扫描图像进行分析来评估Paluxy地层的孔隙和孔喉尺寸分布和连通性。尽管分辨率限制限制了可通过成像检测到的孔喉尺寸,但通过3D成像分析成功地表征了促渗透性的孔喉。然后利用图像获得的孔隙和孔喉尺寸分布以及孔隙连通性来构建孔隙网络模型并模拟渗透率。在CO 2之后注入后,它将溶解到地层盐水中,并创造了有利于主要矿物溶解和次要矿物沉淀的条件。这些反应将根据反应的空间位置不同程度地改变系统的孔隙率和渗透率。在这里,考虑到整个网络中均匀和不均匀地发生的矿物反应,使用孔隙网络模型模拟了可能的孔隙度-渗透率演化。对于给定的孔隙率变化,可能会有很大范围的渗透率结果。根据矿物反应的程度和空间位置,渗透率可能会随着矿物沉淀而降低一个数量级以上。在溶解过程中,模拟的渗透率最多增加500%。

更新日期:2019-11-13
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