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Machine learning methods in seismic facies analysis problems

Year: 2025

Type: article

Abstract: The principles of machine learning and its use in solving seismic facies analysis problems are considered. The issues of the efficiency of the obtained solutions at a qualitative level, as well as significant aspects influencing their efficiency are discussed. The latter include: data quality, groups of attributes used, features of clustering algorithms. As an example, the results obtained for horizons related to the Bobrikovian–Tournasian strata of the Lower Carboniferous age in the southwestern part of the Orenburg region are given.

Source: Russian Journal of geophysical technologies

DOI: 10.18303/2619-1563-2024-4-50

Authors: E. I. Korytkin, G. M. Mitrofanov, A. M. Kamashev

Institutions: Institute of Petroleum Geology and Geophysics, Novosibirsk State University, Novosibirsk State Technical University

Language: English

Topic: Seismic Imaging and Inversion Techniques

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4409341192

FWCI:

Cites: 11

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Related to: 10