Induced polarization in a 2.5D marine controlled-source electromagnetic field based on the adaptive finite-element method
Xu Kai-Jun1 and Sun Jie1
This work was supported by the National Natural Science Foundation of China (No. 41304094) and the National High Technology Research and Development Program of China (863 Program) (No. 2012AA09A20107).
Abstract:
The induced polarization (IP) in rocks and minerals is of significance to the marine controlled-source electromagnetic (CSEM) field. We propose an adaptive finite-element algorithm for the 2.5D frequency-domain forward modeling of marine CSEM that considers the induced polarization. The geoelectrical model is discretized using an unstructured triangular elemental grid that accommodates the complex topography and geoelectrical structures. We use the Cole–Cole model to describe the IP and develop a complex resistivity forward modeling algorithm. We compare the simulation results with published 1D model results and subsequently calculate the electromagnetic field for variable azimuth sources, IP parameters, and topography. Finally, we analyze the IP effect on the marine CSEM field and show that IP of oil reservoirs and topography affects the marine CSEM electromagnetic field.
. Induced polarization in a 2.5D marine controlled-source electromagnetic field based on the adaptive finite-element method[J]. APPLIED GEOPHYSICS, 2018, 15(2): 332-341.
[1]
Cai, H. Z., Xiong, B., and Michael, Z. M., 2015, Three-dimensional marine controlled-source electromagnetic modelling in anisotropic medium using finite element method: Chinese Journal of Geophysics (in Chinses), 58(8), 2839−2850.
[2]
Constable, S., Key, K., and Lewis, L., 2009, Mapping offshore sedimentary structure using electromagnetic methods and terrain effects in marine magnetotelluric data: Geophysical Journal International, 176(2), 431−442.
[3]
Franke, A., Borner, R. U., and Spitzer, K., 2007, Adaptive unstructured grid finite element simulation of two-dimensional magnetotelluric fields for arbitrary surface and seafloor topography: Geophysical Journal International, 171(1), 71−86.
[4]
Guo, N. N., Chang Y. J., and Jia, H. T., 2011, Influences of induced polarization on marine controlled-source electromagnetic survey: 10th China international Geo-Electromagnetic Workshop, Extended Abstracts (in Chinses), 392−395.
[5]
Hesthammer, J., and Stefatos, A., 2010, The performance of CSEM as a de-risking tool in oil and gas exploration: 80th Ann. Internat. Mtg. SEG Technical Program, Expanded Abstracts, 675−679.
[6]
Key, K., and Ovall, J., 2011, A parallel goal-oriented adaptive finite element method for 2.5D electromagnetic modelling: Geophysical Journal International, 186(1), 137−154.
[7]
Key, K., and Weiss, C., 2006, Adaptive finite element modeling using unstructured grids: the 2D magnetotelluric example: Geophysics, 71(6), G291−G299.
[8]
Liu, Y., 2014, 2D finite element modeling and inversion for marine controlled-source electromagnetic fields: PhD Thesis, Ocean University of China, Qingdao.
[9]
Li, Y., and Constable, S., 2007, 2D marine controlled-source electromagnetic modeling, part 2: the effect of bathymetry: Geophysics, 72(2), WA63−WA71.
[10]
Li, Y., and Key, K., 2007, 2D marine controlled-source electromagnetic modeling, Part 1: An adaptive finite element algorithm: Geophysics, 72(2), WA51−WA62.
[11]
Li, Y., and Pek, J., 2008, Adaptive finite element modelling of two-dimensional magnetotelluric fields in general anisotropic media: Geophysical Journal International, 175(3), 942−954.
[12]
Luo, W. B., and Li, Q. C., 2009, Effect of induced polarization on marine controlled-source electromagnetic in frequency domain: Beijing International Geophysical Conference and Exposition, Expanded Abstracts, 24−27.
[13]
Pelton, W., Ward, S., and Hallof, P., 1978, Mineral discrimination and removal of inductive coupling with multifrequency IP: Geophysics, 43(3), 588−609.
[14]
Slater, L. D., and Glaser, D. R., 2003, Controls on induced polarization in sandy unconsolidated sediments and application to aquifer characterization: Geophysics, 68(5), 1547−1558.
[15]
Sternberg, B. K., 1991, A review of some experience with the induced polarization/ resistivity method for hydrocarbon surveys: Successes and limitations: Geophysics, 56(10), 1522−1532.
[16]
Ulrich, C., and Slater, L. D., 2004, Spectral induced polarization measurements on unsaturated, unconsolidated sands: Geophysics, 69(3), 762−771.
[17]
Veeken, P., Legeydo, P., Davidenko, Y., and Chuvaev, A., 2009, Benefits of the induced polarization geoelectric method to hydrocarbon exploration: Geophysics, 74(2), B47−B59.
[18]
Xu, K. J., Shi S. H., and Zhou, J. H., 2009, Study on induced polarization effect of three dimensional magnetotelluric: Northwestern Seismological journal, 31(1), 31−34.
[19]
Yang, J., Liu, Y., and Wu, X. P., 2015, 3D simulation of marine CSEM using vector finite element method on unstructured grids: Chinese Journal of Geophysics (in Chinses), 58(8), 2827−2838.
[20]
Ye, Y. X., Li, Y. G., Deng, J. Z., and Li, Z. L., 2014, 2.5D induced polarization forward modeling using the adaptive finite-element method: Applied Geophysics, 11(4), 500−507.
[21]
Ye, Y. X., Li, Y. G., Liu, Y., Li, G., and Yang, H. Y., 2016, 3D finite element modeling of marine controlled-source electromagnetic fields using locally refined unstructured meshes: Chinese Journal of Geophysics (in Chinses), 59(12), 4747−4758.
[22]
Zhang, B., Yin, C. C., Liu, Y. H., Ren, X. Y., Qi, Y. F., and Cai, J., 2018, 3D forward modeling of a dual-ship-towed marine CSEM and response analysis: Applied Geophysics, 15(1), 11−25.
[23]
Zhang, S. Z., Li, Y. X., Zhou, J. P., Nie, X. W., Zhou, A. C., and Yang, G. D., 1986, Induced polarization method in oil exploration-The cause of IP anomaly and it’s relation to the oil reservoir: Chinese Journal of Geophysics (in Chinses), 29(6), 597−614.