Advertisement

Applied Geophysics

, Volume 14, Issue 2, pp 291–300 | Cite as

Three-dimensional tomography using high-power induced polarization with the similar central gradient array

  • Jun-Lu Wang
  • Pin-Rong Lin
  • Meng Wang
  • Dang Li
  • Jian-Hua Li
Article

Abstract

Induced polarization (IP) 3D tomography with the similar central gradient array combines IP sounding and IP profiling to retrieve 3D resistivity and polarization data rapidly. The method is characterized by high spatial resolution and large probing depth. We discuss data acquisition and 3D IP imaging procedures using the central gradient array with variable electrode distances. A 3D geoelectric model was constructed and then numerically modeled. The data modeling results suggest that this method can capture the features of real geoelectric models. The method was applied to a polymetallic mine in Gansu Province. The results suggest that IP 3D tomography captures the distribution of resistivity and polarization of subsurface media, delineating the extension of abrupt interfaces, and identifies mineralization.

Keywords

3D IP tomography central gradient inversion visualization 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgments

We acknowledge support by the National High Technology Research and Development Program (863 Program: Number: 2014AA06A610), special funds for basic scientific research business expenses of the Chinese Academy of Geological Sciences (serial number: YYWF201632), and the National Major Scientific Instruments and Equipment Development Projects (serial number: 2011YQ050060). We are grateful to Dr. Zhang Jifeng, Chang’an University, for help. We also wish to thank everybody involved in data collection and processing, and the editors and reviewers for comments.

References

  1. Cardarelli, E., Cercato, M., and Di Filippo, G., 2007, Assessing foundation stability and soil structure interaction through integrated geophysical techniques: a case history in Rome (Italy): Near Surface Geophysics, 5 141–147.Google Scholar
  2. Chen, D. P., Dai, Q. W., Liu, H. F., and Feng, D. S., 2014, 3-D forward modeling and analysis of borehole-surface potential with gradient source: Journal of Central South University (Science and Technology) (inChinese), 45(1), 150–156.Google Scholar
  3. Dahlin, T., and Bernstone, C., 1997, A roll-along technique for 3-D resistivity data acquisition with multielectrode arrays, Prccs. SAGEEP’97 (Symposium on the Application of Geophysics to Engineering and Environmental Problems), Reno, Nevada, 23-26 March 1997, 2 927–935.Google Scholar
  4. Eaton, P., Anderson, B., Queen, S., et al., 2010, NEWDASthe Newmont distributed IP data acquisition system: 80th SEG Annual Meeting, Expanded Abstracts, 1768–1772.Google Scholar
  5. Johnson, T. C., Versteeg, R. J., Ward, A., Day-Lewis, F. D., and Revil, A., 2010, Improved hydrogeophysical characterization and monitoring through high performance electrical geophysical modelling and inversion: Geophysics, 75(4), WA27–WA41.Google Scholar
  6. Karaoulis, M., Revil, A., Tsourlos, P., Werkema, D. D., and Minsley, B.J., 2013, IP4DI: A software for timelapse 2D/3-D DC-resistivity and induced polarization tomography: Computers & Geosciences, 54 164–170.Google Scholar
  7. Kim, J. H., Yi, M. J., Park, S. G., and Kim, J. G., 2009, 4-D inversion of DC resistivity monitoring data acquired over a dynamically changing earth model: Journal of Applied Geophysics, 68(4), 522–532.Google Scholar
  8. LaBrecque, D. J., and Yang, X., 2001, Difference inversion of ERT data: a fast inversion method for 3-D in situ monitoring: Journal of Environmental and Engineering Geophysics, 5 83–90.Google Scholar
  9. Li, Y., and Oldenburg, D., 2000, 3-D inversion of induced polarization data: Geophysics, 65, 1931–1945.Google Scholar
  10. Lin, P. R., Guo, P., Shi, F. S., Zheng, C. J., Li, Y., Li, J. H., and Xu, B. L., 2010, A study of the techniques for large depth and multi-function electromagnetic survey: Acta Geoscientica Sinica (inChinese), 31(2),149–154.Google Scholar
  11. Lin, P. R., Zheng, C. J., Shi, F. S., Guo, P., Xu, B. L., and Zhao, Z. Y., 2006, The research of integrated electromagnetic method system: Acta Geologica Sinica (in Chinese), 80(10),1539–1548.Google Scholar
  12. Loke, M. H., and Barker, R. D., 1996a, Practical techniques for 3-D resistivity surveys and data inversion: Geophysical Prospecting, 44 499–523.Google Scholar
  13. Loke, M. H., and Barker, R. D., 1996b, Rapid least-squares inversion of apparent resistivity pseudosections using a quasi-Newton method: Geophysical Prospecting, 44 131–152.Google Scholar
  14. Loke, M. H., 2002, RES3-DINV - Rapid 3-D Resistivity and IP Inversion using the least squares method: Geoelectrical Imaging 2D & 3-D: Computer software manual, Geotomo Software, Malaysia.Google Scholar
  15. Loke, M. H., and Dahlin, T., 2002, A comparison of the Gauss-Newton and quasi-Newton methods in resistivity imaging inversion: Journal of Applied Geophysics, 49 149–162.Google Scholar
  16. Ma, W., and Lin, X., 2015, The application of 3D time domain induced polarization to Kalagailei Copper-Gold mine prospecting in Xinjiang: Chinese Journal of Engineering Geophysics (in Chinese), 12(2),171–175.Google Scholar
  17. Miller, C. R., Routh, P. S., Brosten, T. R., and McNamara, J. P., 2008, Application of time lapse ERT imaging to watershed characterization: Geophysics, 73, G7–G17.Google Scholar
  18. Oldenburg, D., and Li, Y., 1994, Inversion of induced polarization data: Geophysics 59, 1327–1341.Google Scholar
  19. Pidlisecky, A., Haber, E., and Knight, R., 2007, RESINVM3-D: a 3-D resistivity inversion package: Geophysics 72(2), H1–H10.Google Scholar
  20. Pollock, D., and Cirpka, O. A., 2012, Fully coupled hydrogeophysical inversion of a laboratory salt tracer experiment monitored by electrical resistivity tomography: Water Resources Research, 48, W01505.Google Scholar
  21. Ruan, B. Y., and Xiong, B., 2002, A finite element modeling of three-dimensional resistivity sounding with continuous conductivity: Chinese Journal of Geophysics (inChinese), 45(1), 131–138.Google Scholar
  22. Santarato, G., Ranieri, G., Occhi, M., Morelli, G., Fischanger, F. and Gualerzi, D., 2001, Three-dimensional Electrical Resistivity Tomography to control the injection of expanding resins for the treatment and stabilization of foundation soils: Engineering Geology, 119 18–30.Google Scholar
  23. Sun, J. J., Li, Y. G. and Nabighian, M., 2012, Lithology differentiation based on inversion of full waveform induced polarization data from Newmont Distributed IP Data Acquisition System (NEWDAS): 82nd SEG Annual Meeting, Expanded Abstracts, 1–5.Google Scholar
  24. Webb, D., Rowston, P., and McNeill, G., 2003, A Comparison of 2D and 3-D IP from Copper Hill NSW: ASEG 16th Geophysical Conference and Exhibition, Adelaide, February.Google Scholar
  25. White, M., and Gordon, N., 2003, Deep imaging: New technology lowers cost of discovery: Canadian Mining Journal, 124(3), 27–28.Google Scholar
  26. White, R. M. S., Collins, S., Denne, R., Hee, R., and Brown, P., 2001, A new survey design for 3-D IP inversion modelling at Copper Hill: Exploration Geophysic, 32 152–155.Google Scholar
  27. Xu, S. Z., 1994, The Finite Element Method in Geophysics (in Chinese): Science Press, Beijing, 178–188.Google Scholar
  28. Xu, S. Z., Liu, B., and Ruan, B. Y., 1994, The finite element method for solving anomalous potential for resistivity surveys: Chinese J. Geophys. (in Chinese), 37(S2), 511–515.Google Scholar
  29. Yang, J. G., Zhai, J. Y., Yang, H. W., Wang, X. H., Xie, C. L., Wang, X. A., and Ren, B. C., 2010a, Metallotectonics Silver Lead Zinc Deposit in Beishan, Gansu Province: Geotectonica et Metallogenia (in Chinese), 34(2), 246–254.Google Scholar
  30. Yang, J. G., Zhai, J. Y., Yang, H. W., Wang, C. F., Xie, C. L., Wang, X. H., and Lei, Y. X., 2010b, LA-ICP-MS zircon U-Pb dating of basalt and its geological significance in Huaniushan Pb-Zn deposit, Beishan area, Gansu, China: Geological Bulletin of China (in Chinese), 29(7), 1017–1023.Google Scholar
  31. Zhou, B., and Greenhalgh, S. A., 2001, Finite element three-dimensional direct current resistivity modeling: accuracy and efficiency considerations: Geophysical Journal International, 145 679–688.Google Scholar

Copyright information

© Editorial Office of Applied Geophysics and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Jun-Lu Wang
    • 1
  • Pin-Rong Lin
    • 1
  • Meng Wang
    • 2
  • Dang Li
    • 1
  • Jian-Hua Li
    • 1
  1. 1.Institute of Geophysical and Geochemical ExplorationCAGSLangfangChina
  2. 2.China Aero Geophysics Survey & Remote Sensing Center foe Land and ResourcesBeijingChina

Personalised recommendations