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Challenges of parametric uncertainty and sparse well samples for realistic modelling of naturally fractured reservoirs: Insights from discrete fracture network modeling in the Horn River Basin.

机译:参数化不确定性和稀疏井样品的挑战,用于自然裂缝储层的现实建模:霍尔河流域离散骨折网络建模见识。

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Accurate modeling of naturally fracture reservoirs requires a comprehensive understanding of fracture network geometry in three-dimensional space. This is a significant challenge to the realistic construction of discrete fracture network (DFN) models since these reservoirs are often controlled by subseismic-scale fractures whose characteristics are difficult to define. We present results from natural fracture network characterization and parametric DFN modeling within the Horn River Basin that emphasize the major challenges to accurate DFN construction. Fracture network parameters that were found to have the largest impact on model results included fracture stratigraphy, intensity, and orientation dispersion. These results provide insight into the challenges of sparse well samples when attempting to accurately characterize natural fracture geometry. Furthermore, this study highlights the fundamental considerations that are necessary for realistic modeling of naturally fractured reservoirs.
机译:天然骨折水库的精确建模需要全面了解三维空间中的裂缝网络几何形状。这是对离散裂缝网络(DFN)模型的现实构造的重大挑战,因为这些储存器通常由底尺度骨折控制,其特征难以定义。我们提出了霍尔河流域内的自然骨折网络特征和参数DFN建模的结果,强调了准确的DFN建设的主要挑战。发现对模型结果具有最大影响的裂缝网络参数包括裂缝地层,强度和方向分散。这些结果在试图准确地表征自然骨折几何形状时,对稀疏井样品的挑战提供了洞察力。此外,本研究突出了自然骨折储层现实建模所需的基本考虑因素。

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