Computational server for seismic processing and inversion

在过去的十年里，随着处理算法变得更加复杂，以及三维勘测增加了记录的数据集的规模，分析来自活动震源的地震数据已经变得越来越需要大量的计算。我们工作的一个关键要素是使用最先进的行业标准软件包（ProMAX）处理地震反射调查。该软件中的一些算法，例如用于衰减长周期倍数和揭示潜在地壳反射的算法，在其他情况下是不可用的，并且对我在海底深度变化巨大的马里亚纳和卡斯卡迪亚俯冲带的工作至关重要。但是，我们现有的专有Sun/Solaris平台将不再支持该软件。因此，在本提案中，我请求资金购买一台高性能计算服务器，该服务器将在支持的开源Linux操作系统下运行，并配备约1tb的磁盘来存储我的团队将使用的大型数据集。首次到达旅行时间的层析反演也是我在过去八年中工作的重要组成部分，当应用于3-D数据集（如最近对马里亚纳岛弧的地壳研究）时，在我们现有的Sun/Solaris计算机系统上非常耗时。将广角反射等其他到达的反射包括在这些反演中，这是提高这些地壳模型分辨率的下一个合乎逻辑的步骤，需要更大程度的计算，并且在我们目前的计算机硬件上是不切实际的。利用我们计算设备的显著增加，我的小组将能够将最新的数据处理算法应用于诸如马里亚纳弧地壳内部和地壳下侵入的地震测绘，以及识别可能的下地壳下沉区域等问题。

Analysis of seismic data from active source surveys, which comprises the bulk of my research group's activity, has become increasingly computationally intensive over the last decade as processing algorithms have become more sophisticated and 3-D surveys have increased the size of the datasets recorded. A key element of our work has been the processing of seismic reflection surveys using a state-of-the-art, industry-standard software package (ProMAX). Some algorithms in this software, such as those used to attenuate long-period multiples and reveal underlying crustal reflections, are not otherwise available, and are critical to my work in the Mariana and Cascadia subduction zones where the seafloor depth varies dramatically. However, this software will no longer be supported on our existing proprietary Sun/Solaris platform. In this proposal, I am therefore requesting funds to purchase a high performance computational server that will run under the supported open-source Linux operating system and be equipped with around 1 Tb of disk to store the large datasets with which my group will be working. Tomographic inversion of first arrival travel times, which has also formed a significant part of my work over the last eight years, is very time-consuming on our existing Sun/Solaris computer system when applied to 3-D datasets such as the recent crustal study of the Mariana island arc. Inclusion in these inversions of other arrivals such as wide-angle reflections, which is the next logical step towards improving the resolution of these crustal models, requires a much greater degree of computation, and is not practical with our present computer hardware. Using this significant increase in our computational facilities, my group will be able to apply the latest data processing algorithms to problems such as the seismic mapping of intrusions within and beneath the crust of the Mariana arc, and the identification of regions of possible lower crustal foundering.