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三维复杂地壳结构非线性走时反演
引用本文:俞贵平,徐涛,张明辉,白志明,刘有山,武澄泷,滕吉文.三维复杂地壳结构非线性走时反演[J].地球物理学报,2017,60(4):1398-1410.
作者姓名:俞贵平  徐涛  张明辉  白志明  刘有山  武澄泷  滕吉文
作者单位:1. 中国科学院地质与地球物理研究所, 岩石圈演化国家重点实验室, 北京 100029;2. 中国科学院大学, 北京 100049;3. 中国科学院青藏高原地球科学卓越创新中心, 北京 100101
基金项目:国家重点研发计划"深地资源勘查开采"重点专项(2016YFC0600101,2016YFC0600201,2016YFC0600302),中国地震局公益性行业科研专项(201408023)和国家自然科学基金(41522401,41474068,41374062,41574078)联合资助.
摘    要:中国大陆中西部乃至全球造山带普遍具有复杂地壳结构.随着矿产资源勘探和深部探测研究的深入,探测造山带及盆山耦合区下方地壳精细结构正逐渐成为当前面临的巨大挑战.人工源深地震测深方法正越来越清晰地揭示出不同构造域地壳速度结构的基本特征,然而传统的层状结构模型参数化方法难以准确描述复杂地质模型,通常情况下多忽略速度结构的精细间断面且采用层边界平滑处理,难以满足地壳精细结构成像的发展要求.针对上述困难,本文采用最近发展的块状结构建模方案构建三维复杂地壳模型,基于逐段迭代射线追踪正演走时计算方法,推导了走时对三角形界面深度以及网格速度的偏导数,开展了非线性共轭梯度走时反演方法研究.发展了利用直达波和反射波等多震相走时数据对界面深度和网格速度的多参数联合反演方法,并引人不同种类震相数据的权系数和不同类型参数偏导数归一化的方法.数值算例表明,基于块状结构的非线性共轭梯度走时反演方法适用于复杂地壳结构模型,在利用人工源走时数据反演复杂地壳精细结构领域具有良好的应用前景.

关 键 词:地壳结构  走时反演  块状建模  射线追踪  非线性共轭梯度  
收稿时间:2016-06-28

Nonlinear travel-time inversion for 3-D complex crustal velocity structure
YU Gui-Ping,XU Tao,ZHANG Ming-Hui,BAI Zhi-Ming,LIU You-Shan,WU Cheng-Long,TENG Ji-Wen.Nonlinear travel-time inversion for 3-D complex crustal velocity structure[J].Chinese Journal of Geophysics,2017,60(4):1398-1410.
Authors:YU Gui-Ping  XU Tao  ZHANG Ming-Hui  BAI Zhi-Ming  LIU You-Shan  WU Cheng-Long  TENG Ji-Wen
Affiliation:1. State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. CAS Center for Excellence in Tibetan Plateau Earth Science, Beijing 100101, China
Abstract:Complex crustal structures generally characterize global orogenic belts and Midwest China. With the deepening of mineral resources exploration and increasing detection of the deep earth, it is becoming a great challenge to use new methods to probe fine crustal structure beneath orogenic belts and basin-mountain coupling regions. Basic characteristics of crustal structure of different tectonic domains are becoming clearer and clearer in deep seismic soundings. However, it is difficult for the traditional layered structure modeling method, in which layer boundaries are smoothing and fine velocity discontinuities are often ignored, to describe complex geological models, making it difficult to meet the development requirements of fine structure imaging of crust. In view of the above difficulties, based on a newly developed block modeling scheme to describe three-dimensional complex crustal models and a corresponding segmentally iterative ray-tracing (SIRT) method, we derive the travel-time partial derivatives of triangular interface depth and grid velocity, and develop a 3-D nonlinear conjugate gradient travel-time inversion method. Block modeling scheme is able to construct any complex geological models in theory and can be used to efficiently build initial models by combining various priori velocity and interface information. In the inversion process, PRP (Polak-Ribière-Polyak) type of the conjugate gradient method is used to solve the constrained damping least squares problem. We develop the joint inversion of grid velocity and interface depth based on multi seismic phases like direct waves and reflected waves, and make a great improvement of the inversion resolution compared with the traditional method which is based on single phase. To improve the convergence accuracy of inversion results, strategies like different weighting factors for different seismic phases and normalization of travel-time partial derivatives of different parameters are introduced in the joint inversion process. Numerical examples are given and a special layered cross-cutting model is used to simply simulate the application form of our method for fine structure imaging of crust, showing that nonlinear conjugate gradient travel-time inversion method based on block modeling is suitable for complex crustal models, which has good application prospects in the field of fine crustal structure imaging based on travel-time data of artificial seismic sources.
Keywords:Crustal structure  Travel-time inversion  Block modeling  Ray tracing  Nonlinear conjugate gradient
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