Parameter estimation of non-stationary random media driven by partially stacked seismic data

• Autorzy: Lin Ying , Zhang Guangzhi , Chen Siyuan , Huang Minmin , Wang Baoli

Identyfikatory

DOI

10.1007/s11600-022-00878-5

• Języki publikacji: EN

Abstrakty

EN

The estimation of non-stationary random medium parameters is the key to the application of random medium theory in fine seismic exploration. We propose a method for estimating non-stationary random medium parameters from partially stacked seismic data. To begin with, the relationship between seismic data and random medium p-wave velocity, s-wave velocity, density model in random medium is described, and the principle and method of estimating the parameters of autocorrelation function of random medium are introduced in this paper. Subsequently, the specific steps of applying the power spectrum method for non-stationary random media parameter estimation are also presented. The feasibility and correctness of the method are verified through the estimation test of the two-dimensional theoretical model. Eventually, the estimation test of non-stationary random medium parameters is carried out by field seismic data. The results show that the non-stationary random medium parameters can better describe the elastic parameter information of the subsurface media and provide a reference for the initial model construction of the elastic parameters, reflecting that the method has good application prospects. Compared with previous studies, this method extends the random medium parameter estimation from stationary to non-stationary and from single wave impedance random medium parameter to multi-elastic parameter random medium parameters. It provides a basis for the in-depth application of random media theory in field data. Meanwhile, this estimation method based on the power spectrum method has the advantage of being intuitive and easy to interpret. However, there are also problems in smoothing effect, which needs further improvement and refinement.

Słowa kluczowe

EN

parameter estimation; random media; non-stationary; seismic

PL

szacowanie parametrów; ośrodki losowe

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2022
• Tom: Vol. 70, no 5
• Strony: 2119--2133
• Opis fizyczny: Bibliogr. 25 poz.

Twórcy

autor

Lin Ying

• School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China

• https://orcid.org/0000-0003-4357-1412

autor

Zhang Guangzhi

• School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China

autor

Chen Siyuan

• College of Geophysics, China University of Petroleum (Beijing), Beijing 102249, China

autor

Huang Minmin

• Shenzhen Branch, CNOOC(China) Co. Ltd, Shenzhen 518067, China

autor

Wang Baoli

• School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).