Collaborative Research: Capitalizing on EarthScope Transportable Array Data to Better Characterize Induced Seismic Sequences

合作研究：利用 EarthScope 可移动阵列数据更好地表征诱发地震序列

• 批准号: 1460360
• 负责人: Kristine Pankow
• 金额: $ 25.57万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-15 至 2020-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1460360&HistoricalAwards=false
• 关键词: Collaborative; Research; Capitalizing; EarthScope; Transportable

The increase in the number of felt and damaging earthquakes near injection sites in Middle America has the public's attention. Given this, there is an ever-growing need to better understand how these sequences develop and to educate the public about the science of induced seismicity. The problem is that the low station density in the central and eastern United States means that many small earthquakes are not easily identified using standard analyst review techniques, and the lack of a complete catalog of small earthquakes greatly impedes induced seismicity studies. Additionally, while temporary networks are often deployed after a sequence has started producing significant or felt earthquakes, these networks miss the initiation of the induced earthquake sequence. Our solution is to use data from the EarthScope Transportable Array, to establish more complete catalogs that better describe the full characteristics (both before and after) of induced seismic sequences. To obtain a better understanding of the source physics of induced seismicity, we propose to systematically identify currently uncataloged small magnitude earthquakes located near fluid injection sites in the central and eastern US by applying a newly developed frequency domain detection algorithm and array visualization mapping techniques to transportable array data. Using newly detected events, we will build a template waveform catalog for use as subspace detectors. The detections will be used to build more complete catalogs for eight geographically dispersed basins. These enhanced catalogs will be analyzed to address the following questions: (1) Are there detectable events in basins where other catalogs show no seismicity or are some basins aseismic? (2) To what extent are the template events we identify similar in waveform characteristics and/or location to previously cataloged events? (3) Are observed rate increases consistent with the Gutenberg-Richter relation and is there a predictable change in b-value with time? (4) Do transient stresses from the passage of relatively large surface waves dynamically trigger additional induced events or otherwise change the distribution of induced seismicity? This study will more fully develop frequency domain detection algorithms and subspace detectors tuned to identify small earthquakes, and will be used to create new earthquake catalogs with magnitude of completeness levels lower (magnitude less than 2.4) than most existing catalogs. This large spatial scale analysis has the potential to provide new information about induced earthquakes and provide a quantitative measure of the ubiquity of induced seismicity in different regions.

在美国中部注入点附近发生的有感地震和破坏性地震的数量增加引起了公众的注意。 鉴于此，越来越需要更好地了解这些序列是如何发展的，并教育公众有关诱发地震活动的科学。问题是，美国中部和东部的台站密度较低，这意味着许多小地震不容易使用标准的分析师审查技术进行识别，而缺乏完整的小地震目录极大地阻碍了诱发地震活动性研究。 此外，虽然临时网络通常在序列开始产生重大地震或有感地震后部署，但这些网络错过了诱发地震序列的启动。我们的解决方案是使用EarthScope可移动阵列的数据，建立更完整的目录，更好地描述诱导地震序列的全部特征（前后）。 为了更好地了解诱发地震活动的源物理，我们建议系统地识别目前未编目的小震级地震位于流体注入点附近的美国中部和东部地区，通过应用新开发的频域检测算法和阵列可视化映射技术，可运输的阵列数据。 使用新检测到的事件，我们将建立一个模板波形目录作为子空间检测器。 探测结果将用于为八个地理上分散的盆地建立更完整的目录。 这些增强的目录将被分析，以解决以下问题：（1）是否有可检测的事件，在盆地，其他目录显示没有地震活动性或一些盆地aseparent？(2)我们识别的模板事件在波形特征和/或位置上与先前编目的事件相似的程度如何？(3)观察到的速率增加是否与Gutenberg-Richter关系一致，b值是否随时间发生可预测的变化？(4)相对较大的面波通过时产生的瞬时应力是否会动态地触发额外的诱发事件，或者改变诱发地震活动的分布？ 这项研究将更全面地开发频域检测算法和子空间检测器，以识别小地震，并将用于创建新的地震目录，其完整性级别低于大多数现有目录（震级小于2.4）。这种大空间尺度的分析有可能提供有关诱发地震的新信息，并对不同地区普遍存在的诱发地震活动提供定量测量。