Dynamic Nonlinear Optimization for Imaging in Seismic Exploration (DNOISE)

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，涉及来自不列颠哥伦比亚大学数学、计算机科学以及地球和海洋科学系的教职员工。DNOISE II构成了迈向新范式的变革性研究计划 在地震勘探中，采集和处理相关的成本不再由调查面积和离散化决定，而是由最终结果的变换域稀疏性决定。在这种方法中，我们摆脱了传统的过于严格的抽样标准的限制，这些标准要求定期以奈奎斯特比率的顺序来源进行抽样。通过采用压缩传感的原理，DNOISE II促进了地震成像的自下而上的公式，其中与欠采样相关的不利伪影通过智能同时采集设计来消除，并通过变换域稀疏性提升来恢复。这一发展-与我们在稀疏恢复和时间谐和Helmholtz解算器方面的跟踪记录-使我们处于独特的地位，能够在开发和实施下一代处理、成像和全波形反转解决方案方面实现根本性突破。 表格101(2009年W)，第3页，共9页 摘要的其他语言版本(可选)。 有效264073赫尔曼

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