摘要
Common prestack fracture prediction methods cannot clearly distinguish multiplescale fractures. In this study, we propose a prediction method for macro- and mesoscale fractures based on fracture density distribution in reservoirs. First, we detect the macroscale fractures (larger than 1/4 wavelength) using the multidirectional coherence technique that is based on the curvelet transform and the mesoscale fractures (1/4-1/100 wavelength) using the seismic azimuthal anisotropy technique and prestack attenuation attributes, e.g., frequency attenuation gradient. Then, we combine the obtained fracture density distributions into a map and evaluate the variably scaled fractures. Application of the method to a seismic physical model of a fractured reservoir shows that the method overcomes the problem of discontinuous fracture density distribution generated by the prestack seismic azimuthal anisotropy method, distinguishes the fracture scales, and identifies the fractured zones accurately.
普通 prestack 破裂预言方法不能清楚地区分 multiplescale 破裂。在这研究,我们为宏建议一个预言方法 -- 并且 mesoscale 在水库基于破裂密度分发断裂。首先,我们检测 macroscale 破裂(比 1/4 波长大) 用基于 curvelet 变换和 mesoscale 破裂(1/4-1/100 波长) 的 multidirectional 连贯技术使用地震方位角的 anisotropy 技术和 prestack 变细归因,例如,频率变细坡度。然后,我们把获得的破裂密度分布合为一张地图并且评估易变地放大的破裂。到一座折断的水库的一个地震物理模型的方法的申请证明方法克服 prestack 产生的不连续的破裂密度分发的问题地震方位角的 anisotropy 方法,区分破裂精确地放大,并且识别折断的地区。
基金
This research was financially supported by the National Natural Science Foundation of China (No. 41474112) and the National Science and Technology Major Project (No. 2017ZX05005-004).