基于实测地层裂缝高长比的复合层理效果优化

A. Susi, M. Mahrous, Khalid Elwegaa, P. L. Sims, L. Heinze, G. Asquith, M. Soliman, M. Sharafi
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引用次数: 2

摘要

这项研究实现了两个主要目标。首先,开发了一种利用复合分层效应(CLE)方程从岩心样品中预测常规和非常规储层潜在裂缝行为的方法。本研究的第二个目标是确定不同的矿物学和元素成分如何影响使用CLE方程预测的裂缝行为。试样破碎后,采用x射线粉末衍射(XRD)和x射线荧光(XRF)技术分别测定岩心样品的矿物学和元素组成。在这种方法中,首先从地层中获得岩心样品。接下来,使用x射线计算机断层扫描(CT)来确定岩心样品是否存在先前存在的裂缝。然后使用单轴抗压强度(UCS)稍微破坏样品,其中压缩强度机器通过施加单轴载荷并在达到预定载荷时自动停止来启动断裂。CT确认了新裂缝的存在,图像J解释了每条裂缝的高长比。这些结果用于计算CLE。这些实验结果揭示了岩石的矿物和元素组成与裂缝尺寸之间的关系。可见,石英和粘土矿物的存在对CLE值的影响最大,这是由于石英的脆性和粘土矿物(橄榄石)的延展性。对于已经存在裂缝的页岩样品,记录了最高的CLE值。页岩样品中发育的裂缝模式主要是平行的。相反,砂岩中发育的裂缝模式一开始是平行的,后来合并在一起,形成了一个连接的裂缝网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Composite Layering Effect Based on Measured FormationFracture Height to Length Ratios
This study achieves two main goals. First, it develops a method that uses the Composite Layering Effect (CLE) Equation to predict the behavior of potential fractures in conventional and unconventional reservoirs from core samples. The second goal of this study is to determine how different mineralogical and elemental components affect the behavior of fractures predicted using the CLE equation. After the samples are fractured, X-ray Powder Diffraction (XRD) and X-ray Fluorescence (XRF) techniques are executed to measure the mineralogical and elemental compositions of the core samples respectively. In this method, core samples are first obtained from the formation. Next, X-Ray Computed Tomography (CT) is used to determine if core samples have preexisting fractures. The samples are then fractured slightly using Uniaxial Compressive Strength (UCS), in which a compressive-strength machine initiates fractures by applying uniaxial load and stopping automatically upon reaching a predetermined load. CT then confirms the existence of the new fractures, and Image J interprets the height–length ratio of each fracture. These results are used in calculating the CLE. The results of these experiments revealed the relationship between the mineral and elemental compositions of the rocks and the crack dimensions. It was seen that the presence of quartz and clay minerals had the strongest influence on the CLE value due to the brittle behavior of the quartz and ductile behavior of the clay minerals (nacrite). The highest CLE value was recorded for the shale sample that had a preexisting fracture. The fracture patterns developed in the shale samples were mainly parallel to one another. In contrast, the fracture patterns developed in sandstones started out parallel and later merged together to form a connected fracture network.
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