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Applied Geophysics

, Volume 15, Issue 3–4, pp 466–480 | Cite as

Elastic modulus extraction based on generalized pre-stack PP–PS joint linear inversion

  • Qi-Qi Ma
  • Zan-Dong SunEmail author
Article
  • 6 Downloads

Abstract

Joint PP–PS inversion offers better accuracy and resolution than conventional P-wave inversion. P- and S-wave elastic moduli determined through data inversions are key parameters for reservoir evaluation and fluid characterization. In this paper, starting with the exact Zoeppritz equation that relates P- and S-wave moduli, a coefficient that describes the reflections of P- and converted waves is established. This method effectively avoids error introduced by approximations or indirect calculations, thus improving the accuracy of the inversion results. Considering that the inversion problem is ill-posed and that the forward operator is nonlinear, prior constraints on the model parameters and modified low-frequency constraints are also introduced to the objective function to make the problem more tractable. This modified objective function is solved over many iterations to continuously optimize the background values of the velocity ratio, which increases the stability of the inversion process. Tests of various models show that the method effectively improves the accuracy and stability of extracting P and S-wave moduli from underdetermined data. This method can be applied to provide inferences for reservoir exploration and fluid extraction.

Keywords

Pre-stack joint PP–PS inversion P-and S-wave moduli exact Zoeppritz equation generalized linear inversion reservoir and fluid prediction 

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Notes

Acknowledgements

The authors thank the National Science and Technology Major Project (No. 2016ZX05047-002-001) for providing the support. The authors are grateful to editors and reviewers for their valuable comments on and also would like to thank Dr. Zhang Fengqi for his help in the writing of this article.

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Copyright information

© Editorial Office of Applied Geophysics and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Lab for Integration of Geology and GeophysicsChina University of PetroleumBeijingChina

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