Full waveform inversions and source characterization based on spectral-element simulations: innovative datasets and inversion strategies
基于谱元素模拟的全波形反演和源表征:创新数据集和反演策略
基本信息
- 批准号:RGPIN-2021-03442
- 负责人:
- 金额:$ 2.19万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Seismic imaging, the mapping of subsurface structures based on seismic waves traversing through the Earth's interior, has generated fascinating images of the Earth's crust and mantle which prove to be critical for understanding geodynamic processes and geological events that shaped the tectonic evolution of the Earth. On the other hand, seismology engages in understanding earthquakes, one of the most damaging natural disasters to mankind, including their locations, source mechanisms, seismic wave propagation and the intensity of induced ground shaking. The collection of this essential information offers crucial guidance on long-term seismic hazard assessment and risk mitigation, especially for earthquake-prone regions. The capability to simulate seismic wave propagation based on accurate numerical methods, such as the spectral-element method (SEM) developed in the past two decades, enabled the application of innovative, numerical-simulation-based full waveform inversion (FWI) techniques for high-resolution imaging, as well as seismic source inversions based on 3D Greens functions for complex background models. Our group continues to work at the forefront of developing capabilities for FWI based on open-source state-of-the-art SEM software packages and facilitate its adoption by the wider seismic community by improving its numerical efficiency and exploring new inversion strategies. We also apply FWI to innovative datasets, such as ambient-noise and teleseismic body waves, for array imaging. We plan to generate the first high-resolution isotropic and radially anisotropic models for the crust and upper-most mantle of the entire Alaska region based on multi-component ambient-noise FWI. we propose to develop joint ambient-noise and teleseismic-wave FWI method to take advantage of the complementary sensitivity of these two datasets, and apply the joint FWI to high-resolution imaging beneath central California plate boundary region. We also explore source inversion methods based on Greens functions computed for improved 3D regional models by SEM solvers. We propose to develop efficient workflows for near-realtime source mechanism inversions based on the storage of 3D numerical strain-Greens tensor (SGT) database that can be adopted as a regular seismic network operation. These newly developed structural imaging and source inversion capabilities will strength us as one of the leading computational seismology research groups and help train next-generation HQPs equipped with critical skills in parallel computing, large seismic dataset processing, advance imaging and source characterization methods, and machine learning.
地震成像是基于穿过地球内部的地震波绘制的地下结构图,它生成了令人着迷的地壳和地幔图像,事实证明,这些图像对于理解地球动力学过程和塑造地球构造演化的地质事件至关重要。另一方面,地震学致力于了解地震,这是对人类最具破坏性的自然灾害之一,包括其位置、震源机制、地震波传播和诱发地面震动的强度。这些基本信息的收集为长期地震危险评估和减轻风险提供了至关重要的指导,特别是对地震多发地区。基于精确的数值方法模拟地震波传播的能力,例如过去二十年发展起来的谱元素法(SEM),使得创新的、基于数值模拟的全波形反演(FWI)技术能够用于高分辨率成像,以及用于复杂背景模型的基于3D格林函数的震源反演。我们的团队继续致力于基于开源最先进的扫描电子显微镜软件包开发FWI能力的前沿,并通过提高其数值效率和探索新的反演策略来促进其被更广泛的地震界采用。我们还将FWI应用于创新的数据集,例如环境噪声和远程地震体波,以进行阵列成像。我们计划基于多分量环境噪声FWI为整个阿拉斯加地区的地壳和最上地幔建立第一个高分辨率的各向同性和径向各向异性模型。我们建议开发环境噪声和远震波联合FWI方法,以利用这两个数据集的互补敏感性,并将联合FWI应用于加州中部板块边界区域下的高分辨率成像。我们还探索了基于改进的三维区域模型的格林函数的震源反演方法。我们建议基于三维数值应变-格林张量(SGT)数据库的存储来开发高效的近实时震源机制反演工作流程,该数据库可用作常规地震台网操作。这些新开发的构造成像和震源反演能力将增强我们作为领先计算地震学研究小组之一的实力,并帮助培训配备了并行计算、大型地震数据集处理、高级成像和震源表征方法以及机器学习方面关键技能的下一代HQP。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Liu, Qinya其他文献
Finite-frequency tomography using adjoint methods. Methodology and examples using membrane surface waves
- DOI:
10.1111/j.1365-246x.2006.03191.x - 发表时间:
2007-03-01 - 期刊:
- 影响因子:2.8
- 作者:
Tape, Carl;Liu, Qinya;Tromp, Jeroen - 通讯作者:
Tromp, Jeroen
Liu, Qinya的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Liu, Qinya', 18)}}的其他基金
Full waveform inversions and source characterization based on spectral-element simulations: innovative datasets and inversion strategies
基于谱元素模拟的全波形反演和源表征:创新数据集和反演策略
- 批准号:
RGPIN-2021-03442 - 财政年份:2021
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Illuminating the heterogeneous Earth based on numerical simulations of seismic waves: from global tomography to subduction-zone imaging
基于地震波数值模拟揭示异质地球:从全球层析成像到俯冲带成像
- 批准号:
RGPIN-2016-06220 - 财政年份:2020
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Illuminating the heterogeneous Earth based on numerical simulations of seismic waves: from global tomography to subduction-zone imaging
基于地震波数值模拟揭示异质地球:从全球层析成像到俯冲带成像
- 批准号:
RGPIN-2016-06220 - 财政年份:2019
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Improving source characterization of microseismic events for hydraulic fracturing stimulation in the North Montney Play
改善北蒙特尼油区水力压裂刺激的微震事件震源特征
- 批准号:
530168-2018 - 财政年份:2018
- 资助金额:
$ 2.19万 - 项目类别:
Engage Grants Program
Illuminating the heterogeneous Earth based on numerical simulations of seismic waves: from global tomography to subduction-zone imaging
基于地震波数值模拟揭示异质地球:从全球层析成像到俯冲带成像
- 批准号:
RGPIN-2016-06220 - 财政年份:2018
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Illuminating the heterogeneous Earth based on numerical simulations of seismic waves: from global tomography to subduction-zone imaging
基于地震波数值模拟揭示异质地球:从全球层析成像到俯冲带成像
- 批准号:
RGPIN-2016-06220 - 财政年份:2017
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Illuminating the heterogeneous Earth based on numerical simulations of seismic waves: from global tomography to subduction-zone imaging
基于地震波数值模拟揭示异质地球:从全球层析成像到俯冲带成像
- 批准号:
RGPIN-2016-06220 - 财政年份:2016
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Seismic imaging based on numerical simulations of seismic waves: from global to hydrocarbon-reservoir applications
基于地震波数值模拟的地震成像:从全球到碳氢化合物储层应用
- 批准号:
RGPIN-2014-06349 - 财政年份:2015
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Seismic imaging based on numerical simulations of seismic waves: from global to hydrocarbon-reservoir applications
基于地震波数值模拟的地震成像:从全球到碳氢化合物储层应用
- 批准号:
RGPIN-2014-06349 - 财政年份:2014
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Imaging earthquake sources and earth structure based upon adjoint methods
基于伴随方法的震源和地球结构成像
- 批准号:
371685-2009 - 财政年份:2013
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
相似国自然基金
用卫星测高数据研究内陆水域的水位变化及其与环境的相关性
- 批准号:40304001
- 批准年份:2003
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Collaborative Research: NSFGEO-NERC: Advancing capabilities to model ultra-low velocity zone properties through full waveform Bayesian inversion and geodynamic modeling
合作研究:NSFGEO-NERC:通过全波形贝叶斯反演和地球动力学建模提高超低速带特性建模能力
- 批准号:
2341238 - 财政年份:2024
- 资助金额:
$ 2.19万 - 项目类别:
Standard Grant
Collaborative Research: NSFGEO-NERC: Advancing capabilities to model ultra-low velocity zone properties through full waveform Bayesian inversion and geodynamic modeling
合作研究:NSFGEO-NERC:通过全波形贝叶斯反演和地球动力学建模提高超低速带特性建模能力
- 批准号:
2341237 - 财政年份:2024
- 资助金额:
$ 2.19万 - 项目类别:
Continuing Grant
Collaborative Research: NSF-AoF: CIF: Small: AI-assisted Waveform and Beamforming Design for Integrated Sensing and Communication
合作研究:NSF-AoF:CIF:小型:用于集成传感和通信的人工智能辅助波形和波束成形设计
- 批准号:
2326622 - 财政年份:2024
- 资助金额:
$ 2.19万 - 项目类别:
Standard Grant
A RadBackCom Approach to Integrated Sensing and Communication: Waveform Design and Receiver Signal Processing
RadBackCom 集成传感和通信方法:波形设计和接收器信号处理
- 批准号:
2335765 - 财政年份:2024
- 资助金额:
$ 2.19万 - 项目类别:
Standard Grant
Integrated Waveform and Intelligence (IWAI): Physical Layer Solutions to Sustainable 6G
集成波形和智能 (IWAI):可持续 6G 的物理层解决方案
- 批准号:
EP/Y000315/1 - 财政年份:2024
- 资助金额:
$ 2.19万 - 项目类别:
Research Grant
Collaborative Research: NSF-AoF: CIF: Small: AI-assisted Waveform and Beamforming Design for Integrated Sensing and Communication
合作研究:NSF-AoF:CIF:小型:用于集成传感和通信的人工智能辅助波形和波束成形设计
- 批准号:
2326621 - 财政年份:2024
- 资助金额:
$ 2.19万 - 项目类别:
Standard Grant
超音波速度測定と波形インバージョンの協同による深部マントル部分溶融仮説の検証
利用超声速度测量和波形反演验证深部地幔部分熔融假说
- 批准号:
23H01274 - 财政年份:2023
- 资助金额:
$ 2.19万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
SBIR Phase I: A hybrid phasor/waveform simulation tool for the accurate and efficient simulation of large electric power systems with high shares of inverter-based resources
SBIR 第一阶段:一种混合相量/波形仿真工具,用于精确高效地仿真具有高份额逆变器资源的大型电力系统
- 批准号:
2321329 - 财政年份:2023
- 资助金额:
$ 2.19万 - 项目类别:
Standard Grant
Condition Monitoring for High-Voltage Insulation System using Deep Learning based on Waveform Characteristics of Partial Discharge
基于局部放电波形特征的深度学习高压绝缘系统状态监测
- 批准号:
23K03792 - 财政年份:2023
- 资助金额:
$ 2.19万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
地下構造モニタリングを目指した、地震波による新たな時空間イメージング手法の開発
开发利用地震波进行地下结构监测的新型时空成像方法
- 批准号:
22KJ2397 - 财政年份:2023
- 资助金额:
$ 2.19万 - 项目类别:
Grant-in-Aid for JSPS Fellows