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首页> 外文期刊>Journal of Petroleum Science & Engineering >A combined Parzen-wavelet approach for detection of vuggy zones in fractured carbonate reservoirs using petrophysical logs
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A combined Parzen-wavelet approach for detection of vuggy zones in fractured carbonate reservoirs using petrophysical logs

机译:结合Parzen-小波方法利用岩石物理测井仪探测裂缝性碳酸盐岩储层中的孔隙区

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摘要

Vuggy porosity which is the most important type of porosity in carbonate rocks, significantly affects permeability, pressure drop and recovery factor of the rocks. As a result, its identification and modeling are essential for reservoir characterization and history matching. Image logs as well as RCAL and SCAL tests are main methods to determine vugs. However, these methods are costly and usually unavailable. Therefore, developing a generalized approach for recognizing vugs appears to be necessary. In this paper, a combined Parzen-wavelet based algorithm is developed for identifying vuggy zones in wavelet coefficient domain using gamma ray (GR), neutron porosity (NPHI), bulk density (RHOB) and sonic (DT) logs. Compatibility between core tests and the results of the developed method revealed the capability of the method. (C) 2014 Elsevier B.V. All rights reserved.
机译:在碳酸盐岩中孔隙度是最重要的孔隙类型,它显着影响岩石的渗透率,压降和采收率。因此,其识别和建模对于储层表征和历史匹配至关重要。图像日志以及RCAL和SCAL测试是确定容器的主要方法。但是,这些方法成本高昂,通常不可用。因此,开发一种通用的方法来识别风洞似乎是必要的。本文提出了一种基于Parzen小波的组合算法,利用伽马射线(GR),中子孔隙度(NPHI),堆密度(RHOB)和声波(DT)测井来识别小波系数域中的孔隙区域。核心测试与所开发方法的结果之间的兼容性揭示了该方法的功能。 (C)2014 Elsevier B.V.保留所有权利。

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