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A Systematic Approach for Upscaling of the EOR Results from Lab-Scale to Well-Scale in Liquid-Rich Shale Plays

机译:一种系统的方法,可以从实验室规模到富含液体的页岩阶段的LAB规模升高

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This paper examines a priori equation to describe recovery factors of EOR processes in oil shale plays. The existing studies imply promising future for implementing gas cyclic injection through hydraulically fractured wells completed in shale plays; the EOR agent (a mixture of HC gas or CO2) is injected and after a soaking period, the well is put back on production. However, translation of lab-scale EOR results to field- scale is yet to be resolved. Dynamic penetration volume (DPV) controls the amount of contacted oil by the EOR agent (fluid-fluid interface), slowly grows with and limits the recovery efficiency in the pilot-scale. The main idea proposed in this paper is developing a systematic approach to upscale the EOR recovery in lab-scale to pilot-scale. We use a combination of modeling, theoretical, and experimental work to investigate potential recovery loss in well-scale compared to recovery measured in the lab-scale. In our formulation, the recovery in pilot- scale is defined as the product of recovery in lab-scale by field factor. Recovery in lab-scale is a function of pressure drawdown during production (choke effect). Choke-size controls how fast the mixture of gas and vaporized oil components will be produced back after soaking time. Field factor entails two parameters that control how much of in-situ liquid hydrocarbon can potentially interact with EOR agent; basically, field factor is evaluated as a fraction of reservoir volume prescribed within inter-well spacing accessible to the EOR agent when injection process begins. Field factor is calculated as a product of fraction of stimulated reservoir volume (SRV) accessible to EOR agent (DPV/ SRV) at any given time by fraction of reservoir volume stimulated during fracturing; SRV is controlled by the efficiency of fracturing treatment. The pore connectivity loss can occur because of the physical closure of flow path at the fracture-matrix interface and/or two-phase blockage. The limiting two phase phenomena can potentially prevent the injected gas from getting into pore space because of capillary forces. Our results suggest that recovery in the pilot-scale can be significantly reduced owing to pore connectivity loss (a factor of two). The pore connectivity is reduced as pore pressure decreases and effective stress increases. We evaluate change of fluid conductivity under stress and differentiate contribution of pore connectivity loss and pore shrinkage. We also introduce the concept of the Biot number, which lumps together all parameters unaccounted for on the field scale, and thus helps to use similar equations at different scales, providing a systematic approach. Moreover, our results suggest that chokes size effect observed in the experiments can be explained by loss of pore connectivity. We also observe that total recovery is a function of the diffusivity coefficient, and is not significantly altered by varying ratios of fracture to matrix volumes. For the first time, an equation is presented to upscale the EOR results obtained in lab-scale to pilot-scale. The outcome is expected to help operators with the pilot-test performance evaluations.
机译:本文研究了先验方程,以描述油页岩剧中eOR过程的恢复因素。现有研究暗示通过在页岩剧中完成的液压骨折井来实现气体循环注射的未来。注射了EOR试剂(HC气体或CO2的混合物),并在浸泡期后,井被恢复生产。但是,尚未解决实验室级结果的实验​​室标度EOR结果。动态渗透量(DPV)通过EOR试剂(流体流体接口)控制接触式油的量,慢慢地增长并限制了试验规模的回收效率。本文提出的主要思想正在开发一种系统的方法,以便在实验室规模中高档EOR恢复到导频规模。我们使用建模,理论和实验工作的组合来探讨良好的恢复损失与实验室规模测量的恢复相比。在我们的配方中,在试验范围内恢复被定义为逐场因子在实验室规模中恢复的产物。实验室规模恢复是生产过程中压力缩减的函数(扼流效应)。 Choke Size控制浸泡时间后气体和汽化油组分的混合物的速度有多快。场因子需要两种参数,控制原位液体烃的含量可能与EOR代理相互作用;基本上,当注射过程开始时,作为在EOR代理的井间间距中排列的储层体积的一部分进行评估为储存量的一部分。场因子作为在压裂期间刺激的储层体积分数在任何给定时间可在任何给定时间上获得的刺激储存量(SRV)的份数的乘积; SRV通过压裂处理的效率控制。由于骨折 - 矩阵界面处的流动路径和/或两相块堵塞的流动路径的物理闭合,可能发生孔连接损耗。限制两相现象可能会导致由于毛细力而导致注入的气体进入孔隙空间。我们的研究结果表明,由于孔连接损失(两倍),可以显着降低试验规模的恢复。由于孔隙压力降低并且有效的应力增加,孔连接减小。我们评估压力下的流体导电性的变化,分化孔隙连通性损失和孔收缩的贡献。我们还介绍了BIOT编号的概念,该概念将其在现场规模上的所有参数集成在一起,因此有助于在不同尺度上使用类似的方程,提供系统的方法。此外,我们的结果表明,在实验中观察到的窒息尺寸效应可以通过孔连接损失来解释。我们还观察到,总回收是扩散系数的函数,并且通过对矩阵体积的不同比例没有显着改变。首次,提出了一种等式以高档在实验室标度中获得的EOR结果以导频规模。结果预计将帮助运营商进行试验绩效评估。

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