Imaging With a Unique 3D Seismic Dataset

我们将使用2011年由加州长滩的一家地球物理承包商记录的大型地震数据集来测试几种地震技术。该数据集由5200个传感器组成，分布在7x10公里的区域内，连续记录长达6个月。这些数据将用于根据部署期间记录的当地地震构建详细的微区划图(异常地面震动潜力图)。我们还计划将连续的记录反投影到纽波特-英格尔伍德断层面上，该断层面穿过该地区，以确定该断层上发生的微动的时间历史。此外，我们还将根据数据的相关性来估计浅层速度结构，并搜索散射体波以成像地下结构。如果这项研究成功，将对我们对地震破裂动力学和地震危险性的实质性横向变化的理解产生影响，并将展示密集地震台网评估这些结构的能力。这项研究还有可能对石油和天然气行业产生重大影响，因为它表明了被动调查可以做些什么，从而可能消除对城市地区资源的需求。

We will use a large seismic dataset recorded by a geophysical contractor in Long Beach CA, in 2011, to test several seismic techniques. The dataset consists of 5200 sensors distributed over a 7x10 km area that recorded continuously for up to 6 months. The data will be used to construct detailed micro-zonation maps (maps of anomalous ground shaking potential) based on local earthquakes recorded during the deployment. We also plan to backproject the continuous recordings onto the Newport-Inglewood fault plane, which traverses the region in order to determine the time history of micro-motions that occur on that fault. Furthermore, we will also estimate the shallow velocity structure based on correlations of the data, and search for scattered body waves in order to image the subsurface structure.If this research is successful it will have an impact on our understanding of earthquake rupture dynamics and on the substantial lateral variations in seismic hazard, and will show the power of a dense seismic network to assess these. The research also has the potential to have a major impact on the oil and gas industry by showing what can be done with a passive survey, and hence possibly eliminate the need for sources in urban areas.