US-France Cooperative Research: Solutions for Rapid Seismic Imaging of Subterranean Objects

美法合作研究：地下物体快速地震成像解决方案

• 批准号: 0340590
• 负责人: Bojan Guzina
• 金额: $ 1.8万
• 依托单位: University of Minnesota-Twin Cities
• 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: 2004-01-15 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0340590&HistoricalAwards=false
• 关键词: US; France; Cooperative; Research; Solutions

0340590GuzinaThe aim of this three-year U.S.-France cooperative research project is to develop an advanced computational basis for expedient and cost-effective 3D imaging of underground objects using elastic, seismic waves. In contrast to existing 3D seismic analyses, the proposed imaging technology will revolve around a Boundary Integral Equation (BIE) method so that only the outline of a hidden object is rendered. This boundary-only sensing approach has its origins in radar and sonar technologies, but has been largely unexplored in the context of seismic surveys. The need for imaging of subterranean objects spans many aspects of society, ranging from civil engineering to exploration seismology, environmental remediation, and homeland security applications.The project involves research groups led by Bojan Guzina at the University of Minnesota and Marc Bonnet at the Ecole Polytechnique in Paris, France. They recently developed a prototype algorithm, which demonstrates that BIE formulations could significantly reduce the computational effort needed to identify underground openings. Building on this initial development, the research would focus on robustness for a wider class of subterranean conditions. They plan to proceed to a proof-of-concept phase aimed at implementing the new sensing technology. U.S. graduate students will participate in the project, developing skills in international research and establishing international ties early in their careers.The project will advance the development of a novel, boundary-only imaging technique for robust seismic delineation of underground objects. Potential applications of this research include rapid detection of underground facilities and unexploded ordnances, cost-effective mapping of subterranean infrastructure in urban areas, and non-invasive delineation of buried waste. The need for fast and economic 3D seismic imaging in these areas is especially pronounced in situations where current electromagnetic surveys may be inadequate. This project is jointly supported by the National Science Foundation (NSF) and the Centre National de la Recherche Scientifique (CNRS). NSF provides support for visits to France by the U.S. investigators and students. The CNRS covers the costs of visits to the United States by the French investigators.

0340590Guzina 这个为期三年的美法合作研究项目的目的是开发先进的计算基础，以便利用弹性地震波对地下物体进行便捷且经济高效的 3D 成像。与现有的 3D 地震分析相比，所提出的成像技术将围绕边界积分方程 (BIE) 方法，以便仅渲染隐藏物体的轮廓。这种仅限边界的传感方法起源于雷达和声纳技术，但在地震勘测中基本上尚未得到探索。对地下物体成像的需求涉及社会的许多方面，从土木工程到勘探地震学、环境修复和国土安全应用。该项目涉及由明尼苏达大学的 Bojan Guzina 和法国巴黎综合理工学院的 Marc Bonnet 领导的研究小组。他们最近开发了一种原型算法，证明 BIE 公式可以显着减少识别地下开口所需的计算工作量。 在此初步开发的基础上，研究将重点关注更广泛的地下条件下的稳健性。 他们计划进入概念验证阶段，旨在实施新的传感技术。 美国研究生将参与该项目，培养国际研究技能，并在职业生涯早期建立国际联系。该项目将推动一种新颖的仅边界成像技术的开发，用于对地下物体进行可靠的地震描绘。 这项研究的潜在应用包括快速检测地下设施和未爆炸弹药、对城市地区地下基础设施进行经济有效的测绘，以及对埋藏废物进行非侵入性描绘。在当前电磁勘测可能不足的情况下，这些地区对快速、经济的 3D 地震成像的需求尤其明显。 该项目由美国国家科学基金会（NSF）和国家科学研究中心（CNRS）联合支持。 NSF 为美国调查人员和学生访问法国提供支持。 CNRS 承担法国调查人员访问美国的费用。