Simulation Study of CO2-EOR in Tight Oil Reservoirs with Complex Fracture Geometries.
Simulation Study of CO2-EOR in Tight Oil Reservoirs with Complex Fracture Geometries.
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DOI：
10.1038/srep33445
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发表时间：
2016-09-15
影响因子：
4.6
通讯作者：
Li B
中科院分区：
文献类型：
--
作者：
Zuloaga-Molero P;Yu W;Xu Y;Sepehrnoori K;Li B
近年来，由于水平钻井和水力压裂技术的进步，致密油藏的开发导致了石油产量的增加。然而，这些储层的预期采油系数仍然很低。CO2基提高采收率是一种合适的提高采收率的方法。采收率估计的一个挑战是正确模拟复杂的水力裂缝几何形状，由于局部网格细化方法的限制，这些几何形状通常被假设为平面。更灵活的方法，如使用非结构化网格可以显着增加计算需求。在这项研究中，我们引入了一种有效的嵌入式离散裂缝模型的方法来明确地模拟复杂的裂缝几何形状。建立了一个组分油藏模型，研究了复杂裂缝几何形状对CO2吞吐和CO2连续注入动态的影响。结果证实，裂缝几何形状的适当建模在增量采油的估计中起着至关重要的作用。该研究还为理解CO2分子扩散、储层渗透率和天然裂缝对致密油藏中CO2-EOR过程性能的影响提供了新的见解。
The recent development of tight oil reservoirs has led to an increase in oil production in the past several years due to the progress in horizontal drilling and hydraulic fracturing. However, the expected oil recovery factor from these reservoirs is still very low. CO2-based enhanced oil recovery is a suitable solution to improve the recovery. One challenge of the estimation of the recovery is to properly model complex hydraulic fracture geometries which are often assumed to be planar due to the limitation of local grid refinement approach. More flexible methods like the use of unstructured grids can significantly increase the computational demand. In this study, we introduce an efficient methodology of the embedded discrete fracture model to explicitly model complex fracture geometries. We build a compositional reservoir model to investigate the effects of complex fracture geometries on performance of CO2 Huff-n-Puff and CO2 continuous injection. The results confirm that the appropriate modelling of the fracture geometry plays a critical role in the estimation of the incremental oil recovery. This study also provides new insights into the understanding of the impacts of CO2 molecular diffusion, reservoir permeability, and natural fractures on the performance of CO2-EOR processes in tight oil reservoirs.
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DOI：
10.1016/j.jngse.2015.11.005
发表时间：
2015-11-01
影响因子：
--
作者：
Ren, Bo;Zhang, Liang;Zhang, Hua
通讯作者：
Zhang, Hua
影响因子：
9
作者：
Ren, Bo;Ren, Shaoran;Zhang, Hua
通讯作者：
Zhang, Hua
影响因子：
3.6
作者：
Moinfar, Ali;Varavei, Abdoljalil;Johns, Russell T.
通讯作者：
Johns, Russell T.
影响因子：
3.6
作者：
Hoteit, H.;Firoozabadi, A.
通讯作者：
Firoozabadi, A.
DOI：
10.1021/i160057a011
发表时间：
1976-01-01
期刊：
INDUSTRIAL & ENGINEERING CHEMISTRY FUNDAMENTALS
影响因子：
--
作者：
PENG, D;ROBINSON, DB
通讯作者：
ROBINSON, DB