首页> 外文会议>SPE USA Unconventional Resources Conference >Phase Behavior and Storage in Organic Shale Nanopores: Modeling of Multicomponent Hydrocarbons in Connected Pore Systems and Implications for Fluids-in-place Estimates in Shale Oil and Gas Reservoirs
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Phase Behavior and Storage in Organic Shale Nanopores: Modeling of Multicomponent Hydrocarbons in Connected Pore Systems and Implications for Fluids-in-place Estimates in Shale Oil and Gas Reservoirs

机译:有机页岩纳米孔中的相位行为和储存:岩土油气储层中孔系统中多组分烃的建模及其对流体油气储层流体估计的影响

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Although there have been several efforts to quantify storage in shale nanopores, these have largely been based on generalization of the formulations for conventional reservoirs. Additionally, there is a lack of data addressing the effects of pore proximity on multicomponent adsorption and storage at a diverse set of pressures. Because it is nearly impossible with the currently available technologies to assess storage at the nano-scale, our work relies on the use of Molecular Dynamic simulation (to be called as MDS henceforth) techniques as well as a modified version of the Peng-Robinson EOS appropriate for modeling fluid behavior under pore proximity effects. We first describe the modified PR-EOS and demonstrate applications of pore confined methane phase behavior for different pore size distributions. For these chosen pore size distributions that are representative of organic nanopores, we derive an effective pore size that reproduces the composite phase behavior of the distribution of pore sizes. An effective pore size is defined because of the need to employ only one EOS for compositional modeling. Current efforts at modeling pore-confined phase behavior are largely restricted to tubes of a specified radius and may necessitate several fit-for-purpose EOS to model fluid behavior in different subsets of the pore size distribution. We demonstrate the need for careful examination of phase behavior when the pore volume contribution from the smallest of pores (sub-2nm) is substantial. However, our results indicate that for internmediate sized nanopores, an effective pore size representing the entire porous media may be derived. We then extend our modeling work to multicomponent systems and focus on the storage characteristics and phase behavior under confinement of a mixture of methane and octane. These results also indicate that when a substantial percentage of the pore volume is contained in the smallest of pores, the search for an effective pore size can become challenging. We then demonstrate some of the issues associated with fluid storage in organic nanopores by employing the graphene slit pore model. We model a replica of a connected pore system and demonstrate that pore proximity effects can substantially alter our expectations of storativity of methane, especially in the adsorbed layer. Finally, we demonstrate the need for moving beyond monolayer Langmuir adsorption models for describing storage by highlighting observations of multilayer adsorption of methane in organic pores. The key findings from this paper are as follows: Firstly, because the properties of alkanes differ with pore size, this study is the first to demonstrate that with complex pore connectivities, a simple extension of analyses from a single pore to connected pore systems is somewhat inadequate. This has implications for generating adsorption curves for reservoir simulation, to quantify fluids-in-place and to understand vapor-liquid equilibrium under the influence of pore proximity. We finally demonstrate that careful consideration of pore proximity effects in connected pore systems is necessary for a more meaningful quantification of reserves and predictions of well performance.
机译:尽管已经有几项努力量化页岩纳米孔的储存,但这些主要是基于传统储层的制剂的泛化。此外,缺乏数据解决孔隙接近对多种压力组多组分吸附和储存的影响。由于目前可用的技术几乎不可能在纳米级评估存储,因此我们的工作依赖于使用分子动态模拟(称为MDS Hustenthforth)技术以及彭罗宾逊EOS的修改版本适用于孔隙邻近效应下的液体行为建模。我们首先描述改良的PR-EOS并证明孔隙狭窄的甲烷相行为以进行不同的孔径分布。对于代表有机纳米孔的所选择的孔径分布,我们得出了一种有效的孔径,可再现孔径分布的复合相行为。定义有效的孔径,因为需要仅使用一个EOS进行组合模拟。模拟孔限制相行为的当前努力主要限于指定半径的管,并且可能需要几种适合的EOS在孔径分布的不同子集中模拟流体行为。当从最小孔隙(亚2nm)的孔隙体积贡献很大时,我们证明了仔细检查相位行为的需要。然而,我们的结果表明,对于用于内部尺寸的纳米孔,可以衍生出代表整个多孔介质的有效孔径。然后,我们将建模工作扩展到多组分系统,并专注于甲烷和辛烷混合物的禁闭下的储存特性和相行为。这些结果还表明,当孔体积的大量百分比包含在最小的孔隙中时,对有效孔径的搜索可能变得具有挑战性。然后,我们通过采用石墨烯狭缝孔模型来展示与有机纳米孔中的流体储存相关的一些问题。我们模拟连接孔系统的复制品,并证明孔隙邻近效应可以大大改变我们对甲烷余量的预期,特别是在吸附层中。最后,我们展示了移动超越单层Langmuir吸附模型的需要,用于通过突出多层吸附在有机孔中的甲烷的观察来描述储存。本文的主要发现如下:首先,由于烷烃的性质与孔径不同,这项研究是第一个证明用复杂的孔隙连接,从单个孔隙到连接的孔系统中的简单延伸是有点不足。这具有对生成储库模拟的吸附曲线的影响,可以在孔隙接近的影响下量化流体并理解蒸气液平衡。我们终于证明,在连接的孔系统中仔细考虑孔隙邻近效应对于更有意义的储备量和井性能预测是必要的。

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