单区块产能方法-如何识别和隔离多个裂缝网络变体,并使用油藏模拟器帮助改进非常规油藏的历史匹配和预测

S. P. Kaul, R. F. Vaz, E. Gildin
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引用次数: 0

摘要

在非常规油藏中,最大的挑战是了解天然裂缝如何排出储层,因为它们对产量的影响最大。但不幸的是,关于它们的信息很少。微地震有助于建立裂缝网络的图像,但不能提供有关实际流体流动发生的裂缝的信息。生产测井结果只能提供井筒周围区域的信息。传统的速率暂态分析有很大的缺点,因为关井时间不可能很长,而且在无量纲变量的情况下,可能出现多种结果。本文概述的方法使用简化的假设克服了这些限制。该模拟建模方法使用双重孔隙度作为裂缝网络的理想化,这是传统的智慧,但具有恒定体积的水力裂缝。当以1D、2D或3D方向建模时,这限制了可能的裂缝长度和相关的水力裂缝几何形状。这些HF-NF连通性场景,使用理想的裂缝网络,包括平板(平面1D HF-NF)、火柴棒(非平面2D HF-NF)和立方体(非平面3D HF-NF),用于建立裂缝间距可以为1:1:1(等距)或1:2:3的基本连通性场景。为了给裂缝分配渗透率,在这六种具有相同生产动态的不同基本情景下,我们采用基于速率瞬态分析的单区块方法。它还有助于确定其他裂缝连通性变量的裂缝渗透率,例如2D HF-3D NF或3D HF-2D NF,以及之前指定的两种裂缝间距。该研究主要研究储层线性流动,其结果基于区块内平均无因次压力与无因次时间的平方根之比与不同裂缝压力下降的无因次时间之比,以特征图的形式呈现。在每个裂缝连通性场景中,如果使用理想块体,解决方案将上升到离散的1,2,3值,或者根据NF的块体几何形状,非理想块体组合的解决方案将低于这些值。现场模型分析了实际历史匹配数据,验证了上述结论。NF网络的基本方向知识可以提供更好的历史匹配和预测结果。此外,在油藏模拟器的帮助下,人们可以为不同的裂缝间距分配物理意义,可以是增加或减少的形式。使用无量纲参数的速率暂态分析不能说明这一事实。在储层中注入相同体积的支撑剂和已知的NF取向的情况下,这有助于建立最佳裂缝间距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single Block Productivity Approach - How it Identifies and Isolates Multiple Fracture Network Variants and Helps Improve History Matching and Prediction in Unconventional Reservoirs Using Reservoir Simulator
In an unconventional reservoir, the biggest challenge is to know how the natural fractures drain the reservoir as they have the greatest impact on production. But unfortunately, very little information is available about them. Microseismics aid in building a picture of the fracture network, but give no information about fractures where actual fluid flow occurs. Production logging results give information around wellbore area only. Conventional rate transient analysis has major drawbacks, as long shut-in times are not possible and with dimensionless variables multiple results are possible. The method outlined in this paper overcomes these limitations using simplified assumptions. This simulation modeling method uses dual porosity as an idealization of the fracture network, which is the conventional wisdom, but with constant volume hydraulic fractures. This restricts the possible fracture lengths and the associated geometries of these hydraulic fractures, when modeled in 1D, 2D or 3D orientation. These HF-NF connectivity scenarios, using idealized fracture network of slabs (planar 1D HF-NF), matchstick (non-planar 2D HF-NF) and cubes (non-planar 3D HF-NF), is used to establish those fundamental connectivity scenarios where the fracture spacing can either be 1:1:1 (equidistant) or in the ratio 1:2:3. In order to assign permeability to the fractures, under these six different fundamental scenarios which have the same production performance, we follow the single block approach based on rate transient analysis. It also helps in establishing fracture permeability for other fracture connectivity variants such as 2D HF-3D NF or 3D HF-2D NF and with the two previously specified fracture spacings. The results of this study, which essentially deals with the reservoir linear flow, are presented in the form of characteristic plots based on the ratio of average dimensionless pressure in the block with the square root of dimensionless time versus the dimensionless time for different fracture pressure declines. In each of fracture connectivity scenarios the solution rises to a discreet 1, 2, 3 value if idealized blocks are used or fall short of these values for non-idealized block combination depending on block geometry of NF. These conclusions are also shown by field models, analyzing actual history matched data. Basic knowledge of the orientation of NF network gives better history match and prediction results. Also, with the help of a reservoir simulator one can assign physical meaning to different fracture spacings, which could be in the increasing or decreasing form. Rate transient analysis, using dimensionless parameters, fails to illustrate this fact. It helps in a long way to establish the optimum fracture spacing with the same volume of proppant being pumped in the reservoir and with known NF orientation.
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