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A Generic Task-Farming Framework for Reservoir Analysis in a Grid Environment

机译:网格环境中的储层分析通用任务营造框架

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The vast majority of research projects involving Grid Computing have focused on the development and standardization of the middleware that allows Grids to function. Despite the maturity of the middleware as the Grid core, the actual application of Grids to solving concrete problems is far from being a common practice, much less a standard one. In this context, we present ResGrid, a Grid-aware toolkit for reservoir uncertainty analysis. With the help of ResGrid, a reservoir engineer can transparently take advantage of Grid resources and services for compute-intensive and data-intensive uncertainty analysis while achieving a better understanding of multiphase reservoir modeling. ResGrid improves the efficiency of reservoir analysis, and its flexible architecture allows its utilization by other application areas such as coastal modeling and climate simulations. ResGrid is our first step towards developing generic Grid-aware toolkits that could be applied to any science in a costand time-efficient manner.
机译:涉及网格计算的绝大多数研究项目都集中在中间件的开发和标准化,允许网格运行。尽管中间件的成熟作为网格核心,但网格的实际应用对于解决具体问题远远不如常见的做法,那么少得多。在此上下文中,我们展示了Resgrid,一种用于水库不确定性分析的网格感知工具包。在Resgrid的帮助下,水库工程师可以透明地利用电网资源和服务,以实现计算密集型和数据密集型的不确定性分析,同时实现更好地理解多相储层建模。 Resgrid提高了储层分析的效率,其灵活的架构允许其其他应用领域的利用,例如沿海建模和气候模拟。 RESGRID是我们迈向开发通用网格感知工具包的第一步,这些工具包可以以高效的方式应用于任何科学。

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