Deep Vertical Seismic Profiling at the Continental Deep Drilling Site Oberpflaz, Germany

德国 Oberpflaz 大陆深钻现场的深层垂直地震剖面

• 批准号: 9727654
• 负责人: Scott Smithson
• 金额: $ 7.6万
• 依托单位: University of Wyoming
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-15 至 1999-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9727654&HistoricalAwards=false
• 关键词: Deep; Vertical; Seismic; Profiling; Continental

9727654 Smithson The single most important result from deep scientific drilling in crystalline rocks in Russia and Germany may be the discovery of hydrous fluids through the entire depth range (9 to 12 km) of deep boreholes. The presence of hydrous fluids is so important, because even in small amounts, they have a dramatic effect on geologic processes such as mineral reactions, melting, rock strength, material transfer, seismic wave attenuation and ore deposits. Fluids also strongly affect seismic reflectivity by creating larger reflection coefficients than can be found from rock-rock interfaces alone. This award supports the U.S. portion of a cooperative project with the Principal Investigator's German colleagues to conduct a vertical seismic profile (VSP) in the deep part (3-8.5 km) of the KTB borehole in Germany and a moving source profile (MSP) from the surface into geophones in the borehole. The ICDP (International Continental Scientific Drilling Program) has already approved funding for the project. This award will provide one-third of the data acquisition costs. The Principal Investigator will participate in the data acquisition and data analysis by contributing his time to the project at no charge. ***

9727654史密森（Smithson）是俄罗斯和德国结晶岩石岩石中深度科学钻孔的最重要结果，这可能是在整个深度范围（9至12 km）深处井眼中发现含水液。 含水液的存在是如此重要，因为即使在少量的情况下，它们也会对地质过程（例如矿物反应，融化，岩石强度，材料转移，地震波衰减和矿石沉积物）产生巨大影响。 流体还通过产生比单独的岩石界面所发现的更大的反射系数来强烈影响地震反射率。 该奖项支持与首席调查员的德国同事的合作项目的一部分，以在德国的KTB钻孔的深部（3-8.5 km）进行垂直地震概况（VSP），并在德国的KTB井眼中进行垂直地震概况（3-8.5 km），并在钻孔的地面上进行了移动源概况（MSP）。 ICDP（国际大陆科学钻探计划）已经批准了该项目的资金。 该奖项将提供数据获取成本的三分之一。 首席研究人员将通过免费为项目贡献时间来参与数据采集和数据分析。 ***