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Evaluation of fractured–vuggy reservoir by electrical imaging logging based on a de-noising method

  • Research Article - Applied Geophysics
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Abstract

The existence of fractures and vugs in igneous formation is a key factor to determine the productivity of oil and gas reservoirs. Fracture–vug plane porosity and porosity spectrum (fracture–vug parameters) are important parameters to evaluate the development of fractures and vugs. In the process of drilling, the bit forms shallow holes and scratches on the borehole wall which is characterized by pitting, strip and block noise in the electrical imaging logging static image. The background noise affects the identification of fractures and vugs and the extraction of parameters. It is found that the background noise mainly exists in the high-frequency conductivity data. In order to suppress the background noise, empirical mode decomposition is applied to conductivity data of electrical imaging logging, and the wavelet hard threshold de-noising is applied to high-frequency intrinsic mode function components. The de-noising fracture–vug parameters have a good correspondence with the electrical imaging logging static image, and have a better linear relationship with the core porosity. These illustrate that the application of the de-noising method in the electrical imaging logging is reasonable and effective. The de-noising porosity spectrum becomes narrower in the reservoir with poor fractures and vugs, which can reveal the development of secondary pores more clearly. In reservoir interpretation, the de-noising fracture–vug plane porosity and porosity spectrum have good consistency with conventional and acoustic logging data, which can effectively evaluate the fractures and vugs in reservoirs.

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Acknowledgments

The work described in this paper is supported by the National Natural Science Foundation of China (No. 41874135 and No. 41790453) and the National Key R&D Program of China (2019YFC0605402).

Funding

This research was funded by the National Natural Science Foundation of China (No. 41874135 and No. 41790453) and the National Key R&D Program of China (2019YFC0605402).

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Authors and Affiliations

  1. College of GeoExploration Science and Technology, Jilin University, Changchun, 130026, China

    Fanghui Xu & Zhuwen Wang

  2. College of Earth Sciences, Jilin University, Changchun, 130021, China

    Wenhua Wang

Authors
  1. Fanghui Xu
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  2. Zhuwen Wang
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  3. Wenhua Wang
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Contributions

FX is the main author of this manuscript and Wenhua Wang did a lot of experiments. This work was conducted under the advisement of ZW and ZW reviewed the manuscript and made contributions to its structure.

Corresponding author

Correspondence to Zhuwen Wang.

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The authors declare no conflicts of interest.

Additional information

Communicated by Jadwiga Anna Jarzyna, prof (ASSOCIATE EDITOR)/Michal Malinowski (CO-EDITOR-IN-CHIEF).

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Xu, F., Wang, Z. & Wang, W. Evaluation of fractured–vuggy reservoir by electrical imaging logging based on a de-noising method. Acta Geophys. 69, 761–772 (2021). https://doi.org/10.1007/s11600-021-00558-w

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  • DOI: https://doi.org/10.1007/s11600-021-00558-w

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