Dynamic Nonlinear Optimization for Imaging in Seismic Exploration (DNOISE)

地震勘探成像的动态非线性优化 (DNOISE)

• 批准号: 375142-2008
• 负责人: Herrmann, Felix
• 金额: $ 9.32万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=572869
• 关键词: Dynamic; Nonlinear; Optimization; Imaging; Seismic

DNOISE II: Dynamic Nonlinear Optimization for Imaging in Seismic Exploration is a multidisciplinary research project that involves faculty from the Mathematics, Computer Science, and Earth and Ocean Sciences Departments at the University of British Columbia. DNOISE II constitutes a transformative research program towards a new paradigm in seismic exploration where the acquisition- and processing-related costs are no longer determined by the survey area and discretization but by transform-domain sparsity of the final result. In this approach, we rid ourselves from the confinements of conventional overly stringent sampling criteria that call for regular sampling with sequentiual sources at Nyquist rates. By adapting the principles of compressive sensing, DNOISE II promotes a ground-up formulation for seismic imaging where adverse subsampling-related artifacts areremoved by intelligent simultaneous-acquisition design and recovery by transform-domain sparsity promotion. This development---in conjunction with our track records in sparse recovery and time-harmonic Helmholtz solvers---puts us in an unique position to deliver on fundamental breakthroughs in the development and implementation of the next-generation of processing, imaging, and full-waveform inversion solutions. Form 101 (2009 W), page 3 of 9 Other Language Version of Summary (optional). Valid 264073 Herrmann

DNOISE II：地震勘探中成像的动态非线性优化是一个多学科研究项目，涉及不列颠哥伦比亚省大学数学、计算机科学、地球和海洋科学系的教师。DNOISE II是一个面向新范式的变革性研究计划 在地震勘探中，与采集和处理相关的成本不再由勘测区域和离散化决定，而是由最终结果的变换域稀疏度决定。在这种方法中，我们摆脱了传统的过于严格的采样标准，要求定期采样与序列源在奈奎斯特速率的限制。通过调整压缩感知的原则，DNOISE II促进了地震成像的基础制定，其中不利的子采样相关的伪影通过智能错误采集设计和恢复通过变换域稀疏性促进来去除。这一发展--结合我们在稀疏恢复和时间谐波亥姆霍兹解算器方面的记录--使我们处于一个独特的位置，在下一代处理，成像和全波形反演解决方案的开发和实施中实现根本性突破。 表格101（2009 W），第3页，共9页 摘要的其他语言版本（可选）。 有效期264073 Herrmann