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电磁与重力数据非线性约束联合反演
引用本文:胡祖志,石艳玲,刘云祥,刘雪军,孙卫斌,何展翔. 电磁与重力数据非线性约束联合反演[J]. 石油地球物理勘探, 2020, 55(1): 226-232. DOI: 10.13810/j.cnki.issn.1000-7210.2020.01.026
作者姓名:胡祖志  石艳玲  刘云祥  刘雪军  孙卫斌  何展翔
作者单位:1. 中国石油集团东方地球物理公司综合物化探处, 河北涿州 072751;2. 南方科技大学前沿与交叉科学研究院, 广东深圳 518055;3. 南方科技大学地球与空间科学系, 广东深圳 518055
基金项目:本项研究受国家重点研发计划项目“超深层重磁电震勘探技术研究”(2016YFC0601104)资助。
摘    要:利用已知的地震、地质、电测井等资料进行电磁、重磁资料约束联合反演是提高重磁电勘探分辨率的重要途径。基于测井统计的电阻率与密度两种物性参数之间的关系,同时利用测井数据、地震剖面、地质解释剖面等先验信息约束建模,采用非线性的人工鱼群反演算法,实现了基于井震约束的大地电磁与重力数据的并行联合反演,提高了电磁和重力勘探的分辨率。模型和实测数据测试反演表明,提出的非线性约束联合反演方法有很好的实用性。

关 键 词:大地电磁  重力  人工鱼群  约束反演  联合反演  
收稿时间:2019-05-22

Nonlinear constrained joint inversion of MT and gravity data
HU Zuzhi,SHI Yanling,LIU Yun-xiang,LIU Xuejun,SUN Weibin,HE Zhan-xiang. Nonlinear constrained joint inversion of MT and gravity data[J]. Oil Geophysical Prospecting, 2020, 55(1): 226-232. DOI: 10.13810/j.cnki.issn.1000-7210.2020.01.026
Authors:HU Zuzhi  SHI Yanling  LIU Yun-xiang  LIU Xuejun  SUN Weibin  HE Zhan-xiang
Affiliation:1. GME&Geochemical Surveys of BGP, CNPC, Zhuozhou, Hebei 072751, China;2. Academy for Advanced Interdisciplinary Stu-dies, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China;3. Department of Earth and Space Sciences, Sou-thern University of Science and Technology, Shen-zhen, Guangdong 518055, China
Abstract:It's an important way to improve the resolution of the gravity,magnetic and electromagnetic exploration to apply the constrained and joint inversion of electromagnetic and gravity data using the known seismic,geological and logging data.The joint inversion in this study is mainly based on the relationship between resistivity and density by logging data statistics.Nonlinear artificial fish swarm inversion algorithm and parallel design were used,combined with the constraints of priori information such as logging data,seismic and geological interpretation sections,to realize the parallel joint inversion of magnetotelluric(MT) and gravity data,and the resolution of MT and gravity data was improved.The inversion results of model and field data demonstrated the feasibility of the proposed nonlinear constrained joint inversion.
Keywords:magnetotelluric  gravity  artificial fish swarm  constrained inversion  joint inversion  
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