首页> 外文期刊>Interpretation >Seismic attribute detection of faults and fluid pathways within an active strike-slip shear zone: New insights from high-resolution 3D P-Cable~(?) seismic data along the Hosgri Fault, offshore California
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Seismic attribute detection of faults and fluid pathways within an active strike-slip shear zone: New insights from high-resolution 3D P-Cable~(?) seismic data along the Hosgri Fault, offshore California

机译:活动走滑剪切带内断层和流体通道的地震属性检测:加利福尼亚海上霍斯格断层的高分辨率3D P-Cable〜(?)地震数据的新见解

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摘要

Poststack data conditioning and neural-network seismic attribute workflows are used to detect and visualize faulting and fluid migration pathways within a 13.7 km~2 3D P-Cable~(?) seismic volume located along the Hosgri Fault Zone offshore central California. The high-resolution 3D volume used in this study was collected in 2012 as part of Pacific Gas and Electric's Central California Seismic Imaging Project. Three-dimensional seismic reflection data were acquired using a triple-plate boomer source (1.75 kJ) and a short-offset, 14-streamer, P-Cable system. The high-resolution seismic data were processed into a prestack time-migrated 3D volume and publically released in 2014. Postprocessing, we employed dip-steering (dip and azimuth) and structural filtering to enhance laterally continuous events and remove random noise and acquisition artifacts. In addition, the structural filtering was used to enhance laterally continuous edges, such as faults. Following data conditioning, neural- network based meta-attribute workflows were used to detect and visualize faults and probable fluidmigration pathways within the 3D seismic volume. The workflow used in this study clearly illustrates the utility of advanced attribute analysis applied to high-resolution 3D P-Cable data. For example, results from the fault attribute workflow reveal a network of splayed and convergent fault strands within an approximately 1.3 km wide shear zone that is characterized by distinctive sections of transpressional and transtensional dominance. Neural-network chimney attribute calculations indicate that fluids are concentrated along discrete faults in the transtensional zones, but appear to be more broadly distributed amongst fault bounded anticlines and structurally controlled traps in the transpressional zones. These results provide high-resolution, 3D constraints on the relationships between strike-slip fault mechanics, substrate deformation, and fluid migration along an active fault system offshore central California.
机译:叠后数据条件和神经网络地震属性工作流用于检测和可视化位于加利福尼亚州中部近海的Hosgri断层带的13.7 km〜2 3D P电缆〜(?)地震区内的断层和流体运移路径。本研究中使用的高分辨率3D体积是2012年作为太平洋天然气和电力公司中部加利福尼亚地震成像项目的一部分而收集的。三维地震反射数据是使用三板式潮气源(1.75 kJ)和短偏置14拖缆P电缆系统采集的。高分辨率地震数据被处理为叠前时间偏移的3D体积,并于2014年公开发布。后处理中,我们采用了倾斜转向(倾角和方位角)和结构滤波来增强横向连续事件,并消除随机噪声和采集伪像。另外,结构滤波用于增强横向连续边缘,例如断层。在进行数据调节之后,基于神经网络的元属性工作流被用于检测和可视化3D地震区内的断层和可能的流体运移路径。本研究中使用的工作流程清楚地说明了应用于高分辨率3D P电缆数据的高级属性分析的实用性。例如,断层属性工作流的结果揭示了在约1.3 km宽的剪切带内张开和会聚的断层股线网络,该断层带的特征是超压和超压优势的独特部分。神经网络烟囱属性计算表明,流体沿张性带中的离散断层集中,但似乎在断层有界的背斜线和构造带控制的圈闭中更广泛地分布。这些结果为走滑断层力学,基底变形和沿着加利福尼亚中部近海的活动断层系统的流体运移之间的关系提供了高分辨率的3D约束。

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