Density-sensitivity analysis about prestack multi-parameter inversion based on the exact Zoeppritz equation

Guo Qiang1 ZHANG Hongbing1 CAO Chenghao2 HAN Feilong1 SHANG Zuoping3

(1.College of Earth Science and Engineering,Hohai University, Nanjing, Jiangsu Province, China 210098)
(2.Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China 100029)
(3.College of Mechanics and Materials, Hohai University, Nanjing, Jiangsu Province, China 210098)

【Abstract】The prestack seismic inversion based on the exact Zoeppritz equation and its approximations has been widely adopted but complicated problems remain. Multi-parameter inversion results are unstable, especially for the parameter of density. We develop an inversion method by constructing a new objective function which includes the edge-preserving regularization and soft constraints based on Markov random domain. We apply the fast simulated annealing algorithm to solve the nonlinear optimization problem based on the exact Zoeppritz equation. The numerical results indicate that the density is insensitive to angle variation within small incidence angle range, but it makes more contribution to the reflectivity magnitude variation. The test results on 2-D synthetic data demonstrate that a satisfactory inverted density result can be achieved within small incidence angles with the proposed approach. The field data inverted results provide detailed stratigraphic information well matched with the logging data over most parts.

【Keywords】 prestack multi-parameter inversion; density sensitivity; the exact Zoeppritz equation; edge-preserved regularization; Markov random domain;

【DOI】

【Funds】 National Natural Science Foundation of China (41374116, 41674113) Research Project of China National Offshore Oil Corporation (CNOOC-KJ125 ZDXM 07 LTD NFGC 2014-04)

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This Article

ISSN:1000-7210

CN: 13-1095/TE

Vol 52, No. 06, Pages 1218-1225+1120

December 2017

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Article Outline

Abstract

  • 1 Introduction
  • 2 Principles
  • 3 Density sensitivity analysis
  • 4 Synthetic data test
  • 5 Real data test
  • 6 Conclusions and discussions
  • References