On stochastic inversion and its use for media characteristics prediction
https://doi.org/10.18303/2619-1563-2025-4-12
Abstract
This paper presents an overview of stochastic seismic data inversion methods, briefly discussing the evolution of seismic inversion in general. Four key stochastic inversion methods are discussed, with a more detailed examination of one of the Monte Carlo algorithms – the 1D stochastic inversion process. All stages of its practical implementation are discussed in detail. The application of the algorithm to predicting the reservoir properties of target horizons is demonstrated. This paper can serve as a structured introduction to the field of probabilistic seismic inversion algorithms.
Keywords
seismic exploration,
stochastic inversion,
seismic data interpretation,
horizon characteristics prediction
Supporting agencies: the study was carried out as part of government assignment to the Russian Academy of Sciences in basic research, Project FWZZ-2022-0017.
About the Authors
D. I. Kostashchuk
Trofimuk Institute of Petroleum Geology and Geophysics, SB RAS; Novosibirsk State University
Russian Federation
Russian Federation
Daniil I. Kostashchuk
Koptyug Ave., 3, Novosibirsk, 630090
Pirogov Str., 1, Novosibirsk, 630090
G. M. Mitrofanov
Trofimuk Institute of Petroleum Geology and Geophysics, SB RAS; Novosibirsk State University; Novosibirsk State Technical University
Russian Federation
Russian Federation
Georgy M. Mitrofanov
Koptyug Ave., 3, Novosibirsk, 630090
Pirogov Str., 1, Novosibirsk, 630090
K. Marks Ave., 20, Novosibirsk, 630073
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Review
For citations:
Kostashchuk D.I., Mitrofanov G.M. On stochastic inversion and its use for media characteristics prediction. Russian Journal of Geophysical Technologies. 2025;(4):12-29. (In Russ.) https://doi.org/10.18303/2619-1563-2025-4-12
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