考虑形态和空间分布的断裂渗透性分形模型

SPE Journal Pub Date : 2024-07-01 DOI:10.2118/221488-pa
Peng Zong, Hao Xu, D. Tang, Zhenhong Chen, Feiyu Huo
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摘要

在断裂储层中,裂缝系统被认为是流体流动的主要通道。为了更好地研究裂缝形态(曲折度和粗糙度)和空间分布对流动能力的影响,开发了裂缝渗透率分形模型。根据微型计算机断层扫描(CT)图像,重建了断裂的三维结构,并对其分形特征进行了系统分析。最后,确定了不同裂缝储层中裂缝形态和空间分布对渗透率的控制。结果表明,二维切片中裂缝分布的复杂性可以代表三维空间中裂缝分布的性质。基于孔隙度(φ)、空间分布分形维度(Df)、扭转分形维度(DT)和最大宽度裂缝开口分形维度(Db),建立了渗透率分形预测模型。分形模型对样本 L-01(石灰岩)、BD-01(煤)、BD-02(煤)、S-01(砂岩)、M-01(泥岩)和 C-01(煤)的渗透率预测结果分别为 0.011 md、0.239 md、0.134 md、0.119 md、1.429 md 和 27.444 md。对于不同类型的岩石,模型预测结果与数值模拟结果显示出良好的一致性(平均相对误差为 2.51%)。应用数学模型分析了控制裂缝储层渗透率的因素。渗透率与空间分布分形维度呈正指数相关,与形态分形维度呈负指数相关。当 Df < 2.25 时,裂缝空间结构简单,形态和空间分布共同控制着裂缝储层的渗流能力。当 Df > 2.25 时,裂缝空间结构复杂,可以不考虑形态对渗流能力的影响。通过研究裂缝形态(曲折度和粗糙度)和空间分布对流动能力的影响,可以有效地为裂缝储层流体渗透性的研究奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fractal Model of Fracture Permeability Considering Morphology and Spatial Distribution
In fractured reservoirs, the fracture system is considered to be the main channel for fluid flow. To better investigate the impacts of fracture morphology (tortuosity and roughness) and spatial distribution on the flow capacity, a fractal model of fracture permeability was developed. Based on micro-computed tomography (CT) images, the 3D structure of the fracture was reconstructed, and the fractal characteristics were systematically analyzed. Finally, the control of permeability by fracture morphology and spatial distribution in different fractured reservoirs was identified. The results demonstrate that the complexity of the fracture distribution in 2D slices can represent the nature of the fracture distribution in 3D space. The permeability fractal prediction model was developed based on porosity (φ), spatial distribution fractal dimension (Df), tortuosity fractal dimension (DT), and opening fractal dimension of the maximum width fracture (Db). The permeability prediction results of the fractal model for Samples L-01 (limestone), BD-01 (coal), BD-02 (coal), S-01 (sandstone), M-01 (mudstone), and C-01 (coal) are 0.011 md, 0.239 md, 0.134 md, 0.119 md, 1.429 md, and 27.444 md, respectively. For different types of rocks, the results predicted by the model show good agreement with numerical simulations (with an average relative error of 2.51%). The factors controlling the permeability of fractured reservoirs were analyzed through the application of the mathematical model. The permeability is positively exponentially correlated with the fractal dimension of spatial distribution and negatively exponentially correlated with the fractal dimension of morphology. When Df < 2.25, the fracture spatial structure is simple, and the morphology and spatial distribution jointly control the seepage capacity of fractured reservoirs. When Df > 2.25, the fracture spatial structure is complex, and the impact of morphology on seepage capacity can be disregarded. This work can effectively lay the foundation for the study of fluid permeability in fractured reservoirs by investigating the effects of fracture morphology (tortuosity and roughness) and spatial distribution on flow capacity.
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