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首页> 外文期刊>SPE Reservoir Evaluation & Engineering >Estimation Of Fracture Porosity Ofnaturally Fractured Reservoirs Withrnno Matrix Porosity Using Fractalrndiscrete Fracture Networks
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Estimation Of Fracture Porosity Ofnaturally Fractured Reservoirs Withrnno Matrix Porosity Using Fractalrndiscrete Fracture Networks

机译：利用分形离散裂缝网络估算无基体孔隙度的天然裂缝性储层的裂缝孔隙度

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摘要

Matrix porosity is relatively easy to measure and estimate compared to fracture porosity. On the other hand, fracture porosity is highly heterogeneous and very difficult to measure and estimate. When matrix porosity of naturally fractured reservoirs (NFRs) is negligible, it is very important to know fracture porosity to evaluate reservoir performance. Because fracture porosity is highly uncertain, fractal discrete fracture network (FDFN) generation codes were developed to estimate fracture porosity. To reflect scale-dependent characteristics of fracture networks, fractal theories are adopted. FDFN modeling technique enables the systematic use of data obtained from image log and core analysis for estimating fracture porosity. As a result, each fracture has its own fracture aperture distribution, so that generated FDFN are similar to actual fracture systems. The results of this research will contribute to properly evaluating the fracture porosity of NFRs where matrix porosity is negligible.
机译：与裂缝孔隙度相比，基质孔隙度相对易于测量和估算。另一方面，裂缝孔隙度高度不均一，很难测量和估计。当天然裂缝性储层（NFR）的基质孔隙度可忽略不计时，了解裂缝孔隙度对评估储层性能非常重要。由于裂缝孔隙度高度不确定，因此开发了分形离散裂缝网络（FDFN）生成代码来估算裂缝孔隙度。为了反映裂缝网络的尺度相关特性，采用了分形理论。 FDFN建模技术可以系统地使用从图像测井和岩心分析获得的数据来估算裂缝孔隙度。结果，每个裂缝都有其自己的裂缝孔径分布，因此生成的FDFN与实际裂缝系统相似。这项研究的结果将有助于适当地评估基质孔隙率可忽略不计的NFR的裂缝孔隙率。

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