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Numerical Simulation of Natural Fractures on EOR by Cyclic Gas Injection in Unconventional Reservoirs Using DFN Approach

机译:使用DFN方法对非传统水库循环气体注入的自然骨折的数值模拟

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Major published works on EOR by cyclic gas injection in shale reservoirs have focused on the use of Dual porosity/Dual permeability approach for fracture model development. To adequately account for fluid transport, storage mechanisms, and complex reservoir heterogeneities, natural fractures are modeled using the Discrete Fracture Network (DFN) modeling approach in this study. This allows for discrete modeling of the natural fractures as against an equidistant approach and improves the accuracy of 3D numerical model. A 3D reservoir simulation model was developed for the enhanced oil recovery by cyclic gas injection in a shale reservoir using a commercial simulator. The field 3-D simulation of EOR by cyclic gas injection was carried out using a field in Zavalla County of the Eagle ford shale play. Fracture effectiveness based on fracture contribution to flow was considered in fracture model generation. Using the model the impact of natural fractures is evaluated. The effectiveness of DFN in fractured shale simulation was simulated with cyclic gas injection. The effects of fracture density and orientation of natural fractures, soaking period on ultimate EOR by cyclic gas injection were analyzed. The main driving mechanisms are the oil viscosity reduction and volume swelling. Compared to the conventional Dual porosity/Dual permeability model, the DFN modeling provides a realistic method of evaluating the potential recovery from EOR in shale reservoirs and moves us a step closer to successful field implementation of cyclic gas EORs in shale plays.
机译:循环气体注入在页岩储层的主要发表作品专注于使用双孔隙度/双渗透性方法进行裂缝模型开发。为了充分考虑流体运输,储存机制和复杂的储存器异质性,使用本研究中的离散断裂网络(DFN)建模方法建模自然骨折。这允许自然骨折的离散建模,与等距方法一样,提高3D数值模型的准确性。使用商业模拟器开发了一种用于使用商业模拟器的页岩储层中的循环气体注入增强的储存仿真模型。通过狂欢福特页岩赛Zavalla County的田地进行循环气体注射循环气体喷射的eOR的磁场3-D仿真。基于骨折贡献的裂缝效果在骨折模型生成中考虑。使用模型评估了自然裂缝的影响。用循环气体注入模拟DFN在裂缝的页岩模拟中的有效性。分析了自然骨折,浸泡期通过循环气体注射的裂缝密度和取向的影响。主要驱动机制是油粘度降低和体积溶胀。与传统的双孔隙率/双渗透性模型相比,DFN建模提供了一种评估页岩储存器中EOR潜在恢复的现实方法,并使我们更接近页岩伴侣循环气体的成功实现的步骤。

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