Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (2): 581-593.doi: 10.13278/j.cnki.jjuese.201602302

Previous Articles     Next Articles

MCSEM Responses for Anisotropic Media in Shallow Water

Ben Fang1, Liu Yunhe1, Huang Wei1, Xu Chi2   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Investigation and Design Institute of Water Resources and Hydropower Liaoning Province, Shenyang 110006, China
  • Received:2015-08-31 Published:2016-03-26
  • Supported by:

    Supported by Old Mine Review Project of Ministry of Land and Resources of the People's Republic of China (China Geological Survey Project Agreement[2013] No. 214), National Natural Science Foundation of China (41404093, 41404057) and National High-Tech R&D Program ("863" Program) (2012AA09A20103)

PDF (PC)

420

Abstract:

Due to the impact of air waves, marine CSEM response to oil reservoir is weak in shallow water. Data processing and interpretation in shallow water have long been a hotspot in marine electromagnetic theoretical research. In recent years, with the development of marine CSEM theory, EM data interpretation in shallow water has been improved. However, it is still subject to restriction of fundamental theory. Under this situation, we carry out the research on the effect of electrical anisotropy to MCSEM data in shallow water. We use Euler rotation to establish different anisotropic models for seabed media. Through using the staggered grid finite-difference method to calculate marine CSEM responses in shallow water, we analyze the characteristics of amplitude, phase of inline Ex component, and current density. The physical mechanism of the anisotropic effect on the response of oil reservoir has also been analyzed. We conclude that the characteristics of marine CSEM responses in shallow water are different from that in deep water, and attentions should be paid to the differences when interpreting and inversing the marine CSEM data in shallow water. This research can provide a guideline for marine CSEM data interpretation in shallow water and promote marine CSEM data interpretation in shallow water.

Key words: offshore oil reservoir, marine CSEM, 3D modeling, finite-difference, arbitrary electrical anisotropy

CLC Number: 

  • P631.3

[1] Constable S C. Ten Years of Marine CSEM for Hydrocarbon Exploration[J]. Geophysics, 2010, 75(5):75A67-75A81.

[2] Mittet R, Morten J P. The Marine Controlled-Source Electromagnetic Method in Shallow Water[J]. Geophysics, 2013, 78(2):E67-E77.

[3] Andreis D, MacGregor L. Controlled-Source Electromagnetic Sounding in Shallow Water:Principles and Applications[J]. Geophysics, 2007, 73(1):F21-F32.

[4] Løseth L O, Amundsen L, Jenssen A J. A Solution to the Airwave-Removal Problem in Shallow-Water Marine EM[J]. Geophysics, 2010, 75(5):A37-A42.

[5] Chen J, Alumbaugh D L. Three Methods for Mitigating Airwaves in Shallow Water Marine Controlled-Source Electromagnetic Data[J]. Geophysics, 2011, 76(2):F89-F99.

[6] 殷长春, 刘云鹤, 翁爱华, 等. 海洋可控源电磁法空气波研究现状及展望[J]. 吉林大学学报(地球科学版), 2012, 42(5):1506-1520. Yin Changchun, Liu Yunhe, Weng Aihua, et al. Research on Marine Controlled-Source Electromagnetic Method Airwave[J]. Journal of Jilin University (Earth Science Edition), 2012, 42(5):1506-1520.

[7] Sasaki Y. 3D Inversion of Marine CSEM and MT Data:An Approach to Shallow-Water Problem[J]. Geophysics, 2012, 78(1):E59-E65.

[8] Weiss C J, Constable S. Mapping Thin Resistors and Hydrocarbons with Marine EM Methods:Part II:Modeling and Analysis in 3D[J]. Geophysics, 2006, 71(6):G321-G332.

[9] Kong F N, Johnstad S E, Røsten T, et al. A 2.5D Finite-Element-Modeling Difference Method for Marine CSEM Modeling in Stratified Anisotropic Media[J]. Geophysics, 2007, 73(1):F9-F19.

[10] Weidelt P. 3-D Conductivity Models:Implications of Electrical Anisotropy[J]. Three-Dimensional Electromagnetics, 1999, 7:119-137.

[11] Li Y, Dai S. Finite Element Modelling of Marine Controlled-Source Electromagnetic Responses in Two-Dimensional Dipping Anisotropic Conductivity Structures[J]. Geophysical Journal International, 2011, 185(2):622-636.

[12] Wiik T, Ursin B, Hokstad K. 2.5 D EM Modelling in TIV Conductive Media and the Effect of Anisotropy in Normalized Amplitude Responses[J]. Journal of Geophysics and Engineering, 2013, 10(1):015006.

[13] 殷长春, 贲放, 刘云鹤, 等. 三维任意各向异性介质中海洋可控源电磁法正演研究[J]. 地球物理学报, 2014, 57(12):4110-4122. Yin Changchun, Ben Fang, Liu Yunhe, et al. MCSEM 3D Modeling for Arbitrarily Anisotropic Media[J]. Chinese Journal of Geophysics, 2014, 57(12):4110-4122.

[14] Newman G A, Commer M, Carazzone J J. Imaging CSEM Data in the Presence of Electrical Anisotropy[J]. Geophysics, 2010, 75(2):F51-F61.

[15] Newman G A, Alumbaugh D L. Frequency-Domain Modelling of Airborne Electromagnetic Responses Using Staggered Finite Differences[J]. Geophysical Prospecting, 1995, 43(8):1021-1042.

[16] 翁爱华, 刘云鹤, 贾定宇, 等. 基于电场不连续边界条件的层状介质电磁格林函数计算[J]. 吉林大学学报(地球科学版), 2013, 43(2):603-609. Weng Aihua, Liu Yunhe, Jia Dingyu, et al. Compute Green Function from Discontinuity of Trangential Electrical Fields Inside Source Contained Boundary[J]. Journal of Jilin University (Earth Science Edition), 2013, 43(2):603-609.

[17] Yin C. MMT Forward Modeling for a Layered Earth with Arbitrary Anisotropy[J]. Geophysics, 2006, 71(3):G115-G128.

[18] Weiss C J, Newman G A. Electromagnetic Induction in a Fully 3-D Anisotropic Earth[J]. Geophysics, 2002, 67(4):1104-1114.

[19] Freund R W. A Transpose-Free Quasi-Minimal Residual Algorithm for Non-Hermitian Linear Systems[J]. SIAM Journal on Scientific Computing, 1993, 14(2):470-482.

[20] Løseth L O, Ursin B. Electromagnetic Fields in Planarly Layered Anisotropic Media[J]. Geophysical Journal International, 2007, 170(1):44-80.
[1] Li Dajun, Weng Aihua, Yang Yue, Li Sirui, Li Jianping, Li Shiwen. Three-Dimension Forward Modeling and Characteristics for Surface-Borehole Transient Electromagnetic by Using Staggered-Grid Finite Difference Method [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(5): 1552-1561.
[2] Zhang Baoyi, Yang Li, Chen Xiaoyang, Deng Hao, Mao Xiancheng. Regional Metallogenic Geo-Bodies 3D Modeling and Mineral Resource Assessment Based on Geologic Map Cut Cross-Sections: A Case Study of Manganese Deposits in Southwestern Guangxi, China [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(3): 933-948.
[3] SUN Zhang-qiang, SUN Jian-guo, ZHANG Dong-liang. 2D DC Electric Field Numerical Modeling Including Surface Topography Using Coordinate Transformation Method [J]. J4, 2009, 39(3): 528-534.
[4] YIN Wen. Forward Modeling and Parallel Algorithm Based on High-Order Finite-Difference Method in Frequency Domain [J]. J4, 2008, 38(1): 144-0151.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd