Computational server for seismic processing and inversion

分析地震数据的活动源调查，其中包括我的研究小组的活动的大部分，已成为越来越多的计算密集型在过去十年中的处理算法变得更加复杂和三维调查增加了记录的数据集的大小。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）处理地震反射勘测。该软件中的一些算法，如用于衰减长周期多次波和揭示底层地壳反射的算法，在其他情况下是不可用的，并且对我在马里亚纳和卡斯卡迪亚俯冲带的工作至关重要，那里的海底深度变化很大。但是，我们现有的专有Sun/Solaris平台将不再支持此软件。因此，在本提案中，我请求拨款购买一台高性能计算服务器，该服务器将在受支持的开源Linux操作系统下运行，并配备约1 TB的磁盘，以存储我的团队将使用的大型数据集。层析成像反演的首次到达旅行时间，这也形成了一个重要的一部分，我的工作在过去的八年中，是非常耗时的，我们现有的太阳/Solaris计算机系统时，适用于3-D数据集，如最近的地壳研究马里亚纳岛弧。在这些反演中包括其他波至，如广角反射，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，并且用我们目前的计算机硬件是不切实际的。利用我们的计算设施的显著增加，我的小组将能够将最新的数据处理算法应用于马里亚纳弧地壳内和地壳下的侵入体的地震测绘等问题，以及可能的下地壳沉降区域的识别。

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.