地球物理学进展 ›› 2018, Vol. 33 ›› Issue (5): 1897-1902.doi: 10.6038/pg2018BB0461

• 应用地球物理学Ⅰ(油气及金属矿产地球物理勘探) • 上一篇    下一篇

基于岩石物性约束的大地电磁与重力贝叶斯联合反演

郭曼1,2(),邓居智1,2,*(),陈晓1,2,陈辉1,2,张磊3   

  1. 1. 东华理工大学地球物理与测控技术学院,南昌 330013
    2. 华理工大学放射性地质与勘探技术国防重点学科实验室,南昌 330013
    3. 四川中水成勘院工程物探检测有限公司,成都 610000
  • 收稿日期:2017-12-16 修回日期:2018-07-22 出版日期:2018-10-20 发布日期:2019-01-11
  • 通讯作者: 邓居智 E-mail:15083530715@163.com;jzhdeng@ecit.cn
  • 作者简介:郭曼,女,1992年生,硕士研究生,主要从事多种地球物理方法数据的联合反演研究
  • 基金资助:
    国家自然科学基金项目(41674077);国家自然科学基金项目(41604104);国家自然科学基金项目(41404057);高放废物地质处置项目(科工二司〔2014〕1587号);江西省自然科学基金(20171BAB213031);同济大学海洋地质国家重点实验室开放基金(MGK1704);东华理工大学博士科研启动基金(DHBK201403)

Bayesian joint inversion of magnetotelluric and gravity based on petrophysical Constraints

GUO Man1,2(),DENG Ju-zhi1,2,*(),CHEN Xiao1,2,Xiao Hui1,2,ZHANG Lei3   

  1. 1. School of Geophysics and Measrurement-control Technology, East China University of Technology, Nanchang 330013,China
    2. Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China University of Technology, Nanchang 330013, China
    3. Sichuan Zhongshui Chengkanyuan Geophysical Exploration Company Limited,Chengdou 610000, China
  • Received:2017-12-16 Revised:2018-07-22 Online:2018-10-20 Published:2019-01-11
  • Contact: Ju-zhi DENG E-mail:15083530715@163.com;jzhdeng@ecit.cn

摘要:

地球物理反演的多解性是固然存在的,贝叶斯反演理论为表达反演结果的多解性提供了依据,是联合反演领域的研究热点.岩石物性约束是地球物理联合反演中不同物性参数之间相互约束的方法之一,本文将岩石物性关联引入到大地电磁测深(MT)和重力的贝叶斯联合反演中,利用不同物性参数的后验概率密度分布来表达解,并提取了电阻率和密度的最大后验概率解、均值解和最终迭代解.模型试验表明:最大后验概率解和均值解相比传统意义上的最终迭代解能更好地还原真实模型,且岩石物性约束的引入可提高物性参数之间的耦合程度.

关键词: 联合反演, 岩石物性约束, 贝叶斯反演, 大地电磁, 重力

Abstract:

Solution of the mult-solution is to be sure. Bayesian inversion theory provides a basis for expressing the non-uniqueness of solutions, and is is an active area of joint inversion. Petrophysical constraints is one of the methods of mutual restraint between different physical parameters in a geophysical joint inversion. In this paper, we introduces petrophysical correlation into a bayesian joint inversion of Magnetotelluric sounding (MT) and gravity. posterior probability density distribution of different physical parameters is used to express solutions, and extract the maximum posterior solutions, the mean solutions and final iterative solutions. Model test shows, compared to traditional final iterative solutions, maximum posterior solutions and mean solutions can better restore real models. In addition, The introduction of petrophysical constraints can increases a coupling degree between the physical parameters.

Key words: joint inversion, petrophysical constraints, bayesian inversion, magnetotelluric, gravity

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