SBIR Phase I: Grid Computing for Energy Exploration and Development

SBIR 第一阶段：用于能源勘探和开发的网格计算

• 批准号: 0340097
• 负责人: Dimitri Bevc
• 金额: $ 10万
• 依托单位: 3DGEO DEVELOPMENT INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0340097&HistoricalAwards=false
• 关键词: SBIR; Phase; Grid; Computing; Energy

This Small Business Innovation Research (SBIR) Phase I project will investigate the implementation of a virtual computer environment that leverages the bandwidth and connectivity of the Internet and computer resources available from multiple geographically dispersed computer systems. This solution will be applied to one of the most compute intensive commercial industries: the 2 billion dollar worldwide seismic imaging market for energy exploration and development. This is a powerful and compelling demonstration of the abilities of the Internet and grid computing to enhance the real time value chain for the end consumer, and will usher in a new business approach for the energy exploration industry, and for other compute intensive markets such as: fluid flow modeling, aeronautics, genetic simulation, computational chemistry, astrophysics, nuclear simulation, and computational physics.The particular demonstration of the Grid technology will be in the seismic computing market ($2 billion per year). This market has been expanding because of the dwindling supply of known reserves and the increased worldwide competition for new sources of oil and gas. The capability to accurately image and evaluate reservoirs before drilling is fundamentally important to exploration companies because of the high cost of drilling wells.

这个小企业创新研究（SBIR）第一阶段项目将调查虚拟计算机环境的实施，该环境将利用互联网的带宽和连接性，以及来自多个地理分散的计算机系统的可用计算机资源。该解决方案将应用于计算最密集的商业行业之一：全球20亿美元的能源勘探和开发地震成像市场。这是互联网和网格计算增强终端消费者实时价值链能力的有力且引人注目的演示，并将为能源勘探行业和其他计算密集型市场（如流体流动建模、航空学、遗传模拟、计算化学、天体物理学、核模拟和计算物理）带来新的业务方法。网格技术的具体演示将出现在地震计算市场（每年20亿美元）。由于已知储量的供应不断减少，以及全球对新油气资源的竞争加剧，这一市场一直在扩大。由于钻井成本高，在钻井前对储层进行准确成像和评估的能力对勘探公司来说至关重要。