Application of seismic facies analysis using attributes to reservoir prediction

Seismic facies analysis is one of the most important stages in the qualitative dynamic interpretation of seismic exploration results. By summarizing considerable experience in the analysis of seismic data and the calculation of various seismic attributes, it allows the identification of geological elements manifesting in the seismic wave field. This makes it possible to determine the detailed geological structure of promising deposits and identify seismic facies based on the similarity of acoustic properties. The article presents the results of testing the seismic facies analysis algorithm on real data using two clustering techniques: by the form of the seismic record and by a set of seismic attributes.

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Publication Details

Journal
Russian Journal of geophysical technologies
Published
2024-12-10
DOI
https://doi.org/10.18303/2619-1563-2024-3-33
Citations
3
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
1.01
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article

Application of seismic facies analysis using attributes to reservoir prediction

Georgy Mitrofanov, I. A. Kovalenko, E. I. Korytkin
3 citations
Russian Journal of geophysical technologies
Reservoir Engineering and Simulation Methods
1.01
article

Application of seismic facies analysis using attributes to reservoir prediction

Georgy Mitrofanov, I. A. Kovalenko, E. I. Korytkin
article en
3 citations

Abstract

Seismic facies analysis is one of the most important stages in the qualitative dynamic interpretation of seismic exploration results. By summarizing considerable experience in the analysis of seismic data and the calculation of various seismic attributes, it allows the identification of geological elements manifesting in the seismic wave field. This makes it possible to determine the detailed geological structure of promising deposits and identify seismic facies based on the similarity of acoustic properties. The article presents the results of testing the seismic facies analysis algorithm on real data using two clustering techniques: by the form of the seismic record and by a set of seismic attributes.

Russian Journal of geophysical technologies(3)
Novosibirsk State University (RU), Institute of Petroleum Geology and Geophysics (RU), Novosibirsk State Technical University (RU)
Openalex Percentile: Top 23%
Reservoir Engineering and Simulation Methods
1.01
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Application of seismic facies analysis using attributes to reservoir prediction — Georgy Mitrofanov, I. A. Kovalenko, et al. · Russian Journal of geophysical technologies (2024) | TGRS Research Map | TGRS