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Spontaneous imbibition analysis in shale reservoirs based on pore network modeling

机译:基于孔网络建模的页岩储层自发性吸收分析

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Capillary spontaneous imbibition is vital to the successful development of shale reservoirs. The two-phase flow macro-properties of shale are significantly difficult to be measured in the laboratory. A pore network model is proposed in this work. The model is validated in the conventional Bentheimer sandstone and then applied to shale matrix with the consideration of variable wettability. Some representative relative permeability and capillary pressure curves are obtained from this pore network model. Based on an analytical solution of spontaneous imbibition, we propose a computational algorithm to calculate the oil recovery factors using the calculated macro-properties from our pore network model. Combining these two, the effects of wettability and absolute permeability on the spontaneous imbibition are studied. The absolute permeability plays an important role in the oil recovery factor induced by spontaneous imbibition. The recovery factor is proportional to the quartic root of absolute permeability. A relative small portion of oil wet pores (less than 40%) in a mixed wet formation won't prevent water from imbibing into the shale matrix and increasing the oil recovery. However, when the portion of oil wet pores is too large, the imbibition recovery drops dramatically. The attempt of this work is made to investigate the two-phase flow and spontaneous imbibition of shale reservoirs in the perspective of micro-scale.
机译:毛细管自发性吸收对页岩水库的成功发展至关重要。在实验室中,页岩的两相流宏观性显着难以测量。在这项工作中提出了孔网络模型。该模型在常规的Bentheimer砂岩中验证,然后考虑到可变润湿性,施加到页岩基质。一些代表性的相对渗透性和毛细管压力曲线是从该孔网络模型获得的。基于自发性吸收的分析解决方案,我们提出了一种计算算法来计算来自我们孔网络模型的计算宏观性的石油回收因子。研究了这两种,研究了润湿性和绝对渗透性对自发性吸收的影响。绝对渗透性在自发性吸收引起的储油因子中起着重要作用。回收因子与绝对渗透性的四个根本成比例。在混合湿形成中的油湿孔(小于40%)的相对小部分不会防止水对页岩基质进行吸收并增加油回收。然而,当油湿孔的部分太大时,吸收恢复急剧下降。在微尺度的角度下,制定了这项工作的尝试,以研究页岩储层的两相流和自发性吸收。

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