Estimation of Elastic Stress-Related Properties of Bottom Sediments via the Inversion of Very- and Ultra-High-Resolution Seismic Data


Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Тек жазылушылар үшін

Аннотация

This paper provides an overview of several seismic inversion approaches and their application to very- and ultra-high-resolution marine seismic datasets. The importance of seismic inversion is related to the current demands of the offshore engineering industry for estimates of elastic stress-related parameters of near-surface and bottom sediments. To meet these demands, the seismic inversion methods which facilitate the estimation of elastic properties of the subsurface should be developed for very high-resolution data. Several problems prevent the successful application of seismic inversion to high-resolution datasets. Firstly, borehole measurements, which are routinely applied to constrain seismic inversion, are often not available for the offshore near-surface. Secondly, very- and ultra-high-resolution seismic data are acquired in high frequency ranges, and low-frequency information is absent in such datasets. The elaboration of seismic inversion methods for ultra-high-resolution data is important for both practical and scientific purposes. In the paper, we share our experience in applying acoustic poststack inversion and prestack AVA inversion to very- and ultra-high-resolution marine seismic datasets.

Авторлар туралы

A. Pirogova

Seismic Data Analysis Centre, Moscow State University

Хат алмасуға жауапты Автор.
Email: a.pirogova@sc-lmsu.com
Ресей, Moscow, 119992

S. Tikhotskii

Schmidt Institute of Physics of the Earth, Russian Academy of Sciences; Moscow Institute of Physics and Technology

Email: a.pirogova@sc-lmsu.com
Ресей, Moscow, 123242; Moscow, 141701

M. Tokarev

Faculty of Geology, Moscow State University

Email: a.pirogova@sc-lmsu.com
Ресей, Moscow, 119991

A. Suchkova

Faculty of Geology, Moscow State University

Email: a.pirogova@sc-lmsu.com
Ресей, Moscow, 119991


© Pleiades Publishing, Ltd., 2019

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