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Modeling wettability alteration effect on well performance in Permian basin with complex fracture networks

机译:模拟复杂裂隙网络中二叠纪盆地润湿性变化对油井性能的影响

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The effectiveness of surfactants to improve oil recovery in unconventional oil reservoirs through wettability alteration and enhancement of spontaneous imbibition has been extensively studied. However, very few simulation studies have considered the impact of complex fracture networks on the wettability alteration due to the difficulty in handling the connection between fractures and matrix. Non-uniform fracture networks are difficult to represent using traditional discrete fracture models and local grid refinement (LGR). In this study, we used the Embedded Discrete Fracture Model (EDFM) method to simulate wettability alteration in reservoirs with complex fracture networks. In EDFM, the reservoir is discretized with structured grids, and additional grids are created to represent the fractures. Each fracture plane is that is physically embedded inside a matrix grid is discretized by the cell boundaries, and transport coefficients are calculated for those additional grids. We verified our EDFM model against LGR in both oil wet and water wet conditions for relatively uniform geometries, observing good matches in well productivities and pressure responses. Then we performed a series of numerical sensitivity studies to demonstrate the impact of natural fracture networks on the wettability alteration. Our results show that fracture density, sets of fractures, and fracture conductivity significantly affect the well productivity. The matrix permeability also has similar effects. We modified the wettability condition of the activated fracture grids and matrix grids around fractures from oil-wet to water-wet. The impacts of fractures and permeability were greatly amplified in changing from oil-wet to water-wet systems, as occurs when surfactant is added to injected frac water. This study improves our capability in the area of modeling complex fracture networks, and provides meaningful guidance for enhanced oil recovery in shale reservoirs when designing a surfactant injection strategy.
机译:已经广泛研究了表面活性剂通过改变润湿性和增强自发吸收来提高非常规油藏的采油率的有效性。但是,由于难以处理裂缝与基质之间的联系,因此很少有模拟研究考虑复杂裂缝网络对润湿性变化的影响。使用传统的离散裂缝模型和局部网格细化(LGR)很难表示非均匀裂缝网络。在这项研究中,我们使用嵌入式离散裂缝模型(EDFM)方法来模拟具有复杂裂缝网络的储层的润湿性变化。在EDFM中,储层通过结构化网格离散化,并创建了其他网格来表示裂缝。通过单元边界离散化物理嵌入矩阵网格内部的每个断裂平面,并为这些附加网格计算传输系数。我们在油湿和水湿条件下针对LGR验证了针对LGR的EDFM模型,从而获得了相对均匀的几何形状,并观察到了井产能和压力响应方面的良好匹配。然后,我们进行了一系列数值敏感性研究,以证明天然裂缝网络对润湿性变化的影响。我们的结果表明,裂缝密度,裂缝组和裂缝电导率显着影响油井产能。基质渗透率也具有类似的作用。我们修改了从油湿到水湿的裂缝周围的活化裂缝网格和基质网格的润湿性条件。从油湿系统变为水湿系统时,裂缝和渗透率的影响会大大放大,就像在注入的压裂水中添加表面活性剂时那样。这项研究提高了我们在复杂裂缝网络建模方面的能力,并在设计表面活性剂注入策略时为提高页岩储层的采油率提供了有意义的指导。

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