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Effect of Saturation Dependent Capillary Pressure on Production in Tight Rocks and Shales: A Compositionally-Extended Black Oil Formulation

机译:饱和浓度毛细管压力对紧密岩石和神话中生产的影响:一种组成延伸的黑色油制剂

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Pore sizes are typically on the order of nanometers for many shale and tight rock oil reservoirs. Such small pores can affect the phase behavior of in situ oil and gas owing to large capillary pressure. Current simulation practice is to alter the unconfined black-oil data for a fixed mean pore size to generate confined black-oil data with a depressed bubble-point pressure. This approach ignores compositional effects on interfacial tension and the impact of pore-size distribution (PSD) with variable phase saturations on capillary pressure and phase behavior. In this paper, we develop a compositionally-extended black-oil model where we solve the compositional equations (gas, oil, and water components) directly so that black-oil data are a function of gas content in the oleic phase and gas-oil capillary pressure. The principle unknowns in the variable bubble-point fully-implicit formulation are oil pressure, overall gas composition, and water saturation. Flash calculations in the model are noniterative and are based on K-values calculated explicitly from the black-oil data. The advantage of solving the black-oil model using the compositional equations is to increase robustness of the simulations owing to a variable bubble-point pressure that is a function of two parameters; gas content and capillary pressure. Leverett J-functions measured for the Bakken reservoir are used to establish the effective pore size-Pc-saturation relationship, where the effective pore size depends on gas saturation. The input fluid data to the simulator, e.g. interfacial tension (IFT), phase densities and viscosities, are pre-calculated as functions of pressure from the Peng-Robinson equation of state (PREOS) for three fixed pore sizes. During the simulation, at any pressure and saturation, fluid properties are calculated at the effective pore radius by using linear interpolation between these three data sets. In the current simulator, the reservoir permeability is enhanced to allow for opening of the fracture network by hydraulic fractures. We compare the results of the compositionally-extended black oil model with those of a fully-implicit eight-component compositional model that we have also developed. The results for the Bakken reservoir show that including PSD in the model can increase estimated recoveries by nearly 10%. We also examine the sensitivities of production to various parameters, such as wettability and critical gas saturation.
机译:孔径通常在许多页岩和紧的岩石油藏的纳米的顺序上。由于毛细管压力大,这种小孔可以影响原位油和气体的相位行为。目前的模拟实践是改变固定平均孔径的非整合的黑油数据,以产生具有凹陷的气泡点压力的限制黑油数据。这种方法忽略了对孔径和相位相位行为对可变相位的界面张力和孔尺寸分布(PSD)的影响的组成效应。在本文中,我们开发了一种组成延伸的黑油模型,在那里,我们直接解决组合式方程(气体,油,水成分),使黑油数据是油型相和气体中的气体含量的函数毛细管压力。可变气泡点完全暗示配方中未知的原则是油压,总体气体组成和水饱和度。模型中的闪存计算是非标识的,并且基于从黑油数据明确计算的k值。使用组成方程求解黑油模型的优点是由于由于具有两个参数的功能的可变气泡点压力,增加模拟的鲁棒性;气体含量和毛细管压力。测量为Bakken储层测量的Leverett J函数用于建立有效的孔径-CC饱和关系,其中有效的孔径取决于气体饱和度。输入流体数据到模拟器,例如,界面张力(IFT),相密度和粘度,预先计算为来自彭罗宾逊方程的压力的功能,用于三个固定孔径的状态(Preos)。在模拟期间,在任何压力和饱和时,通过在这些三个数据集之间使用线性插值来计算流体特性。在当前的模拟器中,增强了储层渗透率,以允许通过液压裂缝打开骨折网络。我们将组成延伸的黑油模型的结果与我们也开发的全隐式八组成组成模型的结果进行比较。 Bakken储层的结果表明,该模型中包括PSD可以增加估计的回收率近10%。我们还研究了各种参数的生产敏感性,例如润湿性和临界气体饱和度。

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