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Anisotropic characteristics of mesoscale fractures and applications to wide azimuth 3D P-wave seismic data

机译:中尺度裂缝的各向异性特征及其在宽方位3D P波地震数据中的应用

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Mesoscale fractures of length on the order of centimeters to meters play a crucial role in fluid flow and hydrocarbon production in fractured reservoirs, and are of great interest to reservoir engineers. Therefore, we need to find a method for obtaining information on mesoscale fractures. Most information on fractures comes from seismic data, specifically through the study of fracture-induced azimuthal anisotropic attributes, such as velocity variation with azimuth (VVAZ), amplitude variation with azimuth (AVAZ) and Q (quality factor for attenuation) variation with azimuth (QVAZ). Using these anisotropic attributes to characterize fracture orientations and densities has been performed for a long time. However, it has not been reported whether these methods can be used to detect mesoscale fractures. In this study, through analysis of the anisotropic response to different lengths of fractures based on a mesoscale fracture model, we find that azimuthal anisotropic attenuation is only sensitive to mesoscale fractures, while the anisotropic velocity represents the response for overall scale fractures. Two models, containing mesoscale fractures of length 1 m and microscale fractures of length 0.01 m, are used to calculate synthetic seismograms. Through analysis of the azimuthal anisotropic attributes (VVAZ, AVAZ and QVAZ) from the synthetic seismograms, the identification ability for microscale and mesoscale fractures is compared. It is observed that QVAZ can be used to invert mesoscale fractures while VVAZ and AVAZ cannot. Finally, the QVAZ method is applied in a wide azimuth 3D P-wave seismic dataset to detect mesoscale fractures and the results are confirmed by imaging loggings. Thus, synthetic seismograms, rock physics analysis and field seismic application demonstrates that anisotropic attenuation is the most effective method to detect mesoscale fractures in wide azimuth 3D P-wave seismic data.
机译:长度在几厘米到几米之间的中尺度裂缝在裂缝性油藏的流体流动和碳氢化合物生产中起着至关重要的作用,并引起油藏工程师的极大兴趣。因此,我们需要找到一种获取中尺度裂缝信息的方法。有关裂缝的大多数信息来自地震数据,特别是通过研究裂缝引起的方位各向异性属性,例如方位角的速度变化(VVAZ),方位角的幅度变化(AVAZ)和Q(衰减的品质因数)随方位角变化( QVAZ)。使用这些各向异性属性来表征裂缝方向和密度已经进行了很长时间。然而,尚未报道这些方法是否可用于检测中尺度骨折。在这项研究中,通过基于中尺度裂缝模型对不同长度裂缝的各向异性响应进行分析,我们发现方位各向异性衰减仅对中尺度裂缝敏感,而各向异性速度代表对整体尺度裂缝的响应。使用两个模型(包含长度为1 m的中尺度裂缝和长度为0.01 m的微尺度裂缝)来计算合成地震图。通过从合成地震图分析方位各向异性属性(VVAZ,AVAZ和QVAZ),比较了微尺度和中尺度裂缝的识别能力。可以观察到,QVAZ可用于反转中尺度骨折,而VVAZ和AVAZ则不能。最后,将QVAZ方法应用于宽方位角3D P波地震数据集以检测中尺度裂缝,并通过成像测井证实了结果。因此,合成地震图,岩石物理分析和现场地震应用表明,各向异性衰减是检测宽方位角3D P波地震数据中中尺度裂缝的最有效方法。

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