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Pre-stack AVA Inversion by Using Propagator Matrix Forward Modeling

  • Cong Luo
  • Xiangyang LiEmail author
  • Guangtan Huang
Article
  • 26 Downloads

Abstract

Most existing amplitude variation with angle (AVA) inversions are based on the exact Zoeppritz equation or its approximations. These modeling methods, which are ray-tracing-based and describe P-wave primary reflections only, lead to exacting requirements for pre-processing of the input data. Current processing is inadequate to satisfy these demands, especially for removing the effects of transmission losses, P-wave multiples and various converted-wave modes. By using input data with processing errors, inversion results of primary-only methods are predictably not accurate enough. The propagator matrix (PM), like the reflectivity method, uses an analytical solution to the wave equation and considers full-wave propagation effects in horizontal or nearly horizontal multilayered earth models. The numerical examples verify that a PM can effectively estimate transmission losses, multi-reflections and the comprehensive responses of thin interbedded layers, and also has higher reflection sensitivities to P-wave and S-wave velocity and density, as compared with ray-tracing-based AVA modelling. A pre-stack AVA three-parameter inversion by using a PM as the forward engine is proposed. Following a Bayesian approach, the inversion is stabilized by including the correlation of P-wave velocity, S-wave velocity and density. For inversion accuracy, the limited-memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) optimization method is used to solve the augmented function, and the generalized cross-validation (GCV) criterion (Huang et al. in J Geophys Eng 14(1):100–112, 2017) is introduced to adaptively acquire the regularization parameter. Theoretical model inversion analysis shows that the proposed inversion can make use of transmission losses, P-wave multiples and converted wave modes, which not only cost-effectively simplifies the pre-processing, but also generates reasonable inverted results for multilayered conditions. The proposed inversion is then applied to a set of real data, and a comparison with Zoeppritz equation-based inversion demonstrates that PM inversion is clearly superior to Zoeppritz equation-based inversion in terms of stability and accuracy.

Keywords

Reflectivity method pre-stack AVA inversion pre-stack waveform inversion 

Notes

Acknowledgements

The authors thank the Associate Editor and anonymous reviewers for their helpful comments, and David Booth for proofreading. This study is sponsored by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (grant no. 2017ZX05018005) and is to be published with the permission of the EAP sponsors and the Executive Director of the British Geological Survey (NERC).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Petroleum Resources and ProspectingChina University of PetroleumBeijingChina
  2. 2.CNPC Key Laboratory of Geophysical ProspectingChina University of PetroleumBeijingChina
  3. 3.Unconventional Oil and Gas Cooperative Innovation CenterChina University of PetroleumBeijingChina
  4. 4.British Geological Survey, The Lyell CentreEdinburghUK

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