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STTR Phase I: A Rapid-deployment, Three-dimensional (3-D), Seismic Reflection System

STTR 第一阶段：快速部署的三维 (3-D) 地震反射系统

基本信息

批准号：
0109095
负责人：
Patrick Miller
金额：
$ 10万
依托单位：
PFM MANUFACTURING INC
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2001
资助国家：
美国
起止时间：
2001-07-01 至 2002-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0109095&HistoricalAwards=false
关键词：
STTR Phase Rapid deployment Three

项目摘要

This Small Business Technology Transfer (STTR) Phase I project will design a prototype for a rapid-deployment, three-dimensional (3-D), seismic reflection system for shallow subsurface exploration. Although the 3-D seismic reflection method enjoys tremendous commercial success in marine applications, 3-D seismic systems for land-based geophysical exploration have been limited because cost-effective and environmentally friendly deployment systems have not been developed. Such a system would be useful to build models of ground water flow, track pollutants, identify mineral-laden zones, and aid the siting of large construction projects. The customer base for this seismic reflection system includes civil and environmental engineers and geophysical contractors.PFM Manufacturing and Montana Tech propose to design a rapid-deployment, 3- D, seismic reflection system that employs multiple land streamers with gimbal-mounted vertical geophones. An industrial, low-impact All Terrain Vehicle (ATV) is a critical part of the system both to pull the land streamers and minimize environmental impact. PFM builds an ideal ATV for this purpose. The primary advantage of such a system is that fewer field personnel would be needed compared to conventional surveys and data could be collected more efficiently.

这个小型企业技术转让（STTR）第一阶段项目将设计一个用于浅层地下勘探的快速部署、三维（3-D）地震反射系统的原型。尽管三维地震反射方法在海洋应用中取得了巨大的商业成功，但由于成本效益和环境友好的部署系统尚未开发出来，陆地地球物理勘探的三维地震系统受到限制。这样的系统将有助于建立地下水流动模型，追踪污染物，确定富含矿物质的区域，并有助于大型建筑项目的选址。该地震反射系统的客户群包括土木和环境工程师以及地球物理承包商。PFM制造公司和Montana Tech公司提议设计一种快速部署的三维地震反射系统，该系统采用多个陆地拖缆和安装在平衡架上的垂直地震检波器。工业低冲击全地形车（ATV）是该系统的关键部分，既可以拉起陆地拖缆，又可以最大限度地减少对环境的影响。为此，PFM构建了一个理想的ATV。这种系统的主要优点是，与传统调查相比，需要的外勤人员更少，而且可以更有效地收集数据。