陈汉波^1,,
李桐林^1,,,
熊彬²,
王恒¹,
张镕哲¹,
李少朋¹
1. 吉林大学地球探测科学与技术学院, 长春 130026
2. 桂林理工大学地球科学学院, 桂林 541006

基金项目: 南海重磁震地学断面综合研究（2016ZX05026007-001）和广西高校科研项目（2013YB107）联合资助


详细信息

作者简介: 陈汉波, 男, 1990年生, 博士研究生, 主要从事电磁场数值模拟与反演成像研究.E-mail:chenhanbo.520@qq.com

通讯作者: 李桐林, 男, 1962年生, 教授, 主要从事电磁法理论与应用教学和研究.E-mail:lilaoshizh@163.com

中图分类号: P631

收稿日期:2017-04-05
修回日期:2018-03-15
上线日期:2018-06-05

3D MCSEM modeling using an edge-based finite element method based on an unstructured grid and incremental model

CHEN HanBo^1,,
LI TongLin^1,,,
XIONG Bin²,
WANG Heng¹,
ZHANG RongZhe¹,
LI ShaoPeng¹
1. College of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, China
2. College of Earth Sciences, Guilin University, Guilin 541006, China


More Information

Corresponding author: LI TongLin,E-mail:lilaoshizh@163.com

MSC: P631

--> Received Date: 05 April 2017
Revised Date: 15 March 2018
Available Online: 05 June 2018


摘要
摘要:为了分析海洋中含金属矿的储油气砂层的成分、结构对于海洋可控源电磁场的影响特征，引入多相微增等效介质模型，结合非结构化网格实现了海洋可控源电磁三维矢量有限元正演.首先对多相微增模型进行了介绍，并分析不同参数影响下的等效电导率变化特征.而后，详细推导了频率域可控源电磁法非结构化矢量有限元方程.接着，利用预处理的IDR（s）迭代算法求解线性方程组.最后设计典型的海洋地电模型，通过正演计算，验证了本文算法的正确性和有效性，同时研究了海洋储油砂层中的金属矿的含量、孔隙度、含水饱和度等参数对于可控源电磁场响应特征的影响.
关键词: 海洋可控源电磁法/
多相微增模型/
非结构化网格/
矢量有限元

Abstract:The aim of this study is to reveal characteristics of the three-dimensional marine electromagnetic field produced by a controlled source in pyrite-rich sedimentary rocks. We present an edge-based finite element method for 3D marine controlled-source electromagnetic modeling in the frequency domain based on an unstructured grid and 4-phase incremental model. The theoretical incremental model is introduced firstly. Then the characteristics of the effective medium resistivity are analyzed considering the influence of different parameters. To avoid the source singularity problem for MCSEM modeling, we adopt a secondary field formulation. The sparse finite element system of equation is solved using an IDR(s) with incomplete LU decomposition results as a preconditioner to speed up the convergence. The effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses are comprehensively studied. The results are expected to help the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future.
Key words:Marine controlled source electromagnetics/
Multi-phase incremental model/
Unstructured grid/
Edge-based finite element method



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