3d打印断口表面粗糙度对支撑裂缝导电性的影响

C. Sistrunk, Andrew Travis Brashear, D. Hill, D. Zhu, Tohoko Tajima
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摘要

当岩石在张力作用下破裂时,产生的裂缝表面是粗糙的,表面形态可能有很大的变化。在以往利用压裂样品进行支撑裂缝导流能力研究中,发现裂缝表面形貌对裂缝导流能力和增产效率有很大影响。裂缝表面形态(相对均匀、随机粗糙、阶跃变化、脊谷)强烈影响支撑裂缝的导流能力。在相同的支撑剂加载条件下,不同类型的表面会导致支撑裂缝的导流能力存在一个数量级或更多的差异。为了产生包括表面地形效应在内的定量相关性,应在实验中使用具有明确表面的一致样品。然而,当使用实际的岩石样本通过拉伸来创建真实的裂缝表面时,即使使用来自同一块的小样本,所创建的表面也永远不会相同。裂缝表面缺乏可重复性,这使得识别粗糙表面对支撑裂缝导流能力的影响变得非常复杂。为了克服这个问题,我们使用3d打印技术创建了可重复的粗糙断裂表面。首先,我们通过地质统计学生成了粗糙裂缝表面的数值描述。然后用3d打印机用树脂打印表面。岩石样本的硬化树脂模型被用来制作一个模具,这个模具又被用来制作水泥制成的岩石样本。使用高强度水泥,使样品具有与非常规储层岩石相似的力学性质。通过这种方法,我们创建了具有相同表面粗糙度和特征的多个样品,使我们能够分离和测试其他参数,例如支撑剂的尺寸和浓度。裂缝导电性测试使用改良的API导电性电池和名义上长7英寸、宽2英寸的人造岩石样品进行。在相同的粗糙表面上测试了三种不同的支撑剂浓度,采用了一种成熟的方案来产生作为闭合应力函数的支撑裂缝导电性。三个实验均使用了100目沙子。该研究系统地展示了支撑剂浓度对支撑裂缝导流性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effect of Fracture Surface Roughness on Propped Fracture Conductivity Using 3D-Printed Fracture Surfaces
When rocks are fractured in tension, the fracture surfaces created are rough, with a wide range of surface morphologies possible. In previous studies of propped fracture conductivity using fractured samples, the fracture surface topography was found to have a strong influence on fracture conductivity and stimulation efficiency. Fracture surface patterns (relatively uniform, randomly rough, step changes, ridges and valleys) strongly affect propped fracture conductivity. Different types of surfaces can result in propped fracture conductivities differing by an order of magnitude or more for identical proppant loading conditions. To generate quantitative correlations including surface topographic effects, consistent samples with well-defined surfaces should be used in the experiments. However, when using actual rock samples to create realistic fracture surfaces by fracturing them in tension, the surfaces created are never the same, even using small samples all taken from the same block. This lack of repeatability in fracture surfaces greatly complicates identification of the effects of the rough surfaces on propped fracture conductivity. To overcome this, we created repeatable rough fracture surfaces using 3D-printing technology. First, we geostatistically generated a numerical depiction of a rough fracture surface. Then the surface was printed with resin using a 3D-printer. The hardened resin model of the rock sample was used to make a mold, which was in turn used to create a rock sample made of cement. High strength cement was used so that the samples had similar mechanical properties to unconventional reservoir rocks. With this methodology, we created multiple samples with identical surface roughness and features, allowing us to isolate and test other parameters, such as proppant size and concentration. Fracture conductivity tests were conducted using a modified API conductivity cell and artificial rock samples that are nominally 7 inches long and 2 inches wide. A well-established protocol to generate propped fracture conductivity as a function of closure stress was employed to test three different proppant concentrations on identical rough surfaces. For all three experiments, 100 mesh sand was used. The study demonstrates how proppant concentration affects propped fracture conductivity behavior in a systematic way.
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