Studies in elastic wave processing and inversion

反射地震学的目的是从地震数据中估计地球内部的详细3D图像。 众所周知，通过地震实验收集的原始数据仅提供关于地下的基本信息。必须对地震数据进行处理，以提高其质量，从而获得准确和高分辨率的地下图像。这些处理后的数据被输入成像和反演算法，这些算法旨在创建正确描述地下的图像。这些图像用于勘探化石资源和了解地壳中发生的地质过程。地震图像还用于监测和开发碳氢化合物储层，如今，它们也已成为监测温室气体地质固存的一个重要组成部分。在接下来的5年里，我的研究计划将集中在数字算法的发展，以成像地球内部的勘探规模。该程序将解决地震资料预处理、地震成像和地震反演中遇到的问题。通过地震数据预处理，人们理解了一组广泛的方法来同化准备用于地下成像的高质量地震数据。研究课题包括发展多线性代数方法来重建和增强多分量地震数据，发展多分量数据的最小二乘波动方程迁移方法，改进PP和PS地震图像的可解释性的配准方法，以及多参数弹性全波形反演。还将研究采集、最佳数据预处理和成像/反演之间普遍存在的相互作用。特别是，我有兴趣了解如何适当的多分量数据预处理可以提高通过线性化弹性反演和多参数全波形反演获得的地下图像的可靠性。* 我将培养3名硕士和3名博士。学生以及几名本科生研究助理。研究项目将是独立的，但连接。我的研究项目的重点是开发勘探地震学中的先进处理和成像技术。总的来说，这项研究计划将增加勘探地震学的科学知识，并有助于加拿大化石资源的发现和管理。该计划将支持专门从事定量地球物理学核心方面的地球科学家的培训。通过我以前的NSERC发现赠款培训的学生受到行业的高度追捧。同样，我希望通过拟议的研究计划培训的学生将在工业或学术界追求有前途的职业生涯。

Reflection seismology aims at estimating a detailed 3D picture of the Earth's interior from seismic data. It is well known that raw data gathered via seismic experiments only provide rudimentary information about the subsurface. Seismic data must be processed to improve their quality in order to obtain accurate and high-resolution images of the subsurface. These processed data are entered to imaging and inversion algorithms that are designed to create images that correctly describe the subsurface. These images are used in the exploration of fossil resources and the understanding of geological processes that occur in the crust. Seismic images are also utilized to monitor and develop reservoirs of hydrocarbons and, nowadays, they also have become an essential component for monitoring geological sequestration of greenhouse gases.***In the next 5 years, my research program will focus on the development of numerical algorithms to image the Earth's interior at exploration scales. The program will solve problems encountered in seismic data preconditioning, seismic imaging and seismic inversion. By seismic data preconditioning one understands a broad group of methodologies to assimilate high quality seismic data that are ready for imaging the subsurface. Topics to study include the development of multilinear algebra methodologies to reconstruct and enhance multicomponent seismic data, the development of least squares wave equation migration methods for multicomponent data, registration methods to improve the interpretability of PP and PS seismic images and multiparameter elastic full waveform inversion. The ubiquitous interplay between acquisition, optimal data preconditioning and imaging/inversion will also be studied. In particular, I am interested in understanding how proper data preconditioning of multicomponent data can improve the reliability of subsurface images obtained via linearized elastic inversion and multiparameter full waveform inversion. ***I will be training 3 M.Sc. and 3 Ph.D. students as well as several undergraduate research assistants. Research projects will be independent yet connected. The focus of my research program is to develop advanced processing and imaging techniques in exploration seismology. Overall, this research program will increase scientific knowledge in exploration seismology and contribute to the discovery and management of fossil resources in Canada. The program will support the training of geoscientists specialized in core aspects of quantitative geophysics. Students that were trained through my previous NSERC Discovery Grants are highly sought by industry. Likewise, I expect students trained via the proposed research program will pursue promising professional careers in either industry or academia.**