Izvestiya, Physics of the Solid Earth

, Volume 55, Issue 6, pp 907–926 | Cite as

Parameterization of A Priori Geological Knowledge in Seismic Inversion

  • K. A. EpovEmail author

Abstract—An approach to parameterization of prior geological knowledge concerning the changes in depositional environment in space and geological time for their quantitative use in the workflow of seismic inversion is presented. The idea is to describe the observed or expected facies diversity in terms of a few statistically independent factors (generalized geological variables). The topology and metrics of the model are determined by the set of basic depositional environments and the statistics of facies transitions. The introduced parameters make it possible to estimate the occurrence probability of different facies at each model point. The proposed technique can be applied for regions with various degree of detail of the existing geological knowledge and amount of available well logging data.


seismic inversion depositional environments facies conditional probability a priori knowledge Bayes’ theorem 



I am deeply grateful to Doctor of Science in geology and mineralogy, Professor of the Faculty of Geology of the Lomonosov Moscow State University Valentina Alekseevna Zhemchugova. The main ideas reflected in this paper resulted from our long-standing collaboration and fruitful discussions during the work on the real well and seismic data integrated interpretation projects on various oil and gas fields.

I am also grateful to Doctor of Science in physics and mathematics, corresponding member of the Russian Academy of Sciences Sergei Andreevich Tikhotskii for his valuable comments during the discussions and preparation of this publication.


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© Pleiades Publishing, Ltd. 2019

Authors and Affiliations

  1. 1.Ruspetro LTDMoscowRussia

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