Stochastic inversion based on statistical medium parameter modeling
- Ying Lin (China University of Petroleum (East China)) | Baoli Wang (China University of Petroleum (East China)) | Guangzhi Zhang (China University of Petroleum (East China))
- Document ID
- Society of Exploration Geophysicists
- SEG International Exposition and Annual Meeting, 15-20 September, San Antonio, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Exploration Geophysicists
- Modeling, High-resolution, Algorithm, Inversion, Impedance
- 0 in the last 30 days
- 7 since 2007
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This paper presents a stochastic inversion method based on statistical medium parameter modeling. Firstly, the statistical medium parameters are estimated according to the statistical characteristics of the actual seismic data. The mean and variance of inversion parameters are estimated by combining the information of logging data, and different autocorrelation functions are selected to simulate a more realistic heterogeneous medium model. Then, a new likelihood function is constructed by combining the initial model with seismic data. The fast simulated annealing algorithm is used to perturb and update the wave impedance stochastic inversion. Finally, through the model test and analysis, the modeling method in this paper can well characterize the small-scale heterogeneity of the underground. The constructed likelihood function increases the stability of the inversion process, and the inversion results can match the model well and have high resolution.
Presentation Date: Monday, September 16, 2019
Session Start Time: 1:50 PM
Presentation Time: 3:05 PM
Location: Poster Station 8
Presentation Type: Poster
|File Size||1 MB||Number of Pages||5|
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