商用超级计算机上的工业地震成像

S. Morton, Jeffrey R. Davis, Harry L. Duffey, Gary L. Donathan, Vic Forsyth, S. Checkles
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引用次数: 1

摘要

石油行业一直是传统超级计算机的强大消费者,通常运行处理tb级数据的技术应用程序,需要5ps年的计算时间。既然类似的并行超级计算机可以用商品部件组装起来,价格大约是传统超级计算机的十分之一,石油工业将不可避免地采用商品系统。在本文中,我们将首先概述石油勘探工业地震成像,包括主要算法的物理和计算方法。然后,我们将描述我们在构建商用超级计算机方面的决策过程和经验。该仪器自1999年1月1日起开始进行生产地震成像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Industrial Seismic Imaging on Commodity Supercomputers
The petroleum industry has been a strong consumer of traditional supercomputers, routinely running technical applications which process terabytes of data and require Gflops-years of computation. Now that comparable parallel supercomputers can be assembled using commodity components for about one-tenth the price of a traditional supercomputer, it is inevitable that the petroleum industry will adopt commodity systems. In this paper, we will first give an overview of industrial seismic imaging for petroleum exploration, including the physics and computational approach of the predominant algorithm. We then will describe our decision-making process for and experience in constructing a commodity supercomputer. This machine has been performing production seismic imaging since January 1, 1999.
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