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Self-Constrained Euler Deconvolution Using Potential Field Data of Different Altitudes

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Abstract

Euler deconvolution has been developed as almost the most common tool in potential field data semi-automatic interpretation. The structural index (SI) is a main determining factor of the quality of depth estimation. In this paper, we first present an improved Euler deconvolution method to eliminate the influence of SI using potential field data of different altitudes. The different altitudes data can be obtained by the upward continuation or can be directly obtained by the airborne measurement realization. Euler deconvolution at different altitudes of a certain range has very similar calculation equation. Therefore, the ratio of Euler equations of two different altitudes can be calculated to discard the SI. Thus, the depth and location of geologic source can be directly calculated using the improved Euler deconvolution without any prior information. Particularly, the noise influence can be decreased using the upward continuation of different altitudes. The new method is called self-constrained Euler deconvolution (SED). Subsequently, based on the SED algorithm, we deduce the full tensor gradient (FTG) calculation form of the new improved method. As we all know, using multi-components data of FTG have added advantages in data interpretation. The FTG form is composed by x-, y- and z-directional components. Due to the using more components, the FTG form can get more accurate results and more information in detail. The proposed modification method is tested using different synthetic models, and the satisfactory results are obtained. Finally, we applied the new approach to Bishop model magnetic data and real gravity data. All the results demonstrate that the new approach is utility tool to interpret the potential field and full tensor gradient data.

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Acknowledgments

The authors would like to thank two anonymous reviewers for their valuable and constructive comments and suggestions that improved this work. This research was partly supported by the Fundamental Research Funds for the Central Universities (Grant Nos. lzujbky-2015-65 and lzujbky-2014-133) and the National Natural Science Foundation of China (Grant Nos. 41172163 and 41371033).

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Authors and Affiliations

  1. School of Earth Sciences, Key Laboratory of Mineral Resources in Western China (Gansu Province), Lanzhou University, Lanzhou, 730000, Gansu, China

    Wenna Zhou

  2. Exploration and Production Research Institute, SINOPEC, Beijing, 100083, China

    Zeyu Nan

  3. College of Petrochemical Technology, Lanzhou University of Technology, Lanzhou, 730050, Gansu, China

    Jiyan Li

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  1. Wenna Zhou
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  2. Zeyu Nan
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  3. Jiyan Li
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Correspondence to Wenna Zhou.

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Zhou, W., Nan, Z. & Li, J. Self-Constrained Euler Deconvolution Using Potential Field Data of Different Altitudes. Pure Appl. Geophys. 173, 2073–2085 (2016). https://doi.org/10.1007/s00024-016-1254-7

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  • DOI: https://doi.org/10.1007/s00024-016-1254-7

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