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Development of optimal petroelastic models for sedimentary deposits in accretionary systems at a West Siberian field

https://doi.org/10.51890/2587-7399-2025-10-3-28-34

Abstract

Introduction. Modern methods for calculating the elastic properties of rocks range from empirical regressions to complex theoretical models that take into account the mineral composition and fluid. The analysis of these relationships forms the basis for interpreting seismic inversion data, however, the variety of approaches makes it difficult to choose a model, and numerous parameters introduce uncertainties.

Aim. Automation of the petroelastic modeling process using the global stochastic optimization method and development of optimal petroelastic models for deposits of accretion systems.

Materials and methods. The study was performed for the layers of the AS group of the Cherkashinsky formation (a deposit in Western Siberia). The algorithm of differential evolution is applied, which allows to obtain the parameters of the model with minimal error.

Results. Optimal petroelastic models are constructed for both variants of the volumetric model — full and truncated. The quality metric demonstrated a close correlation between the modeled and recorded data, confirming the effectiveness of the proposed approach.

Conclusions. The differential evolution method has proven its applicability for automated tuning of petroelastic models, ensuring reproducibility of results and reducing the subjectivity of manual parameter selection.

About the Authors

Daniil V. Velesov
Gazprom neft company group
Russian Federation

Daniil V. Velesov — Main specialist

3–5, Pochtamtamtskaya str., 190000, Saint Petersburg



Aleksandr V. Butorin
Gazprom neft company group; Institute of Earth Sciences
Russian Federation

Aleksandr V. Butorin — Сand. Sci. (Geol.-Min.), Associate Professor; Head of seismic discipline

Saint Petersburg



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Review

For citations:


Velesov D.V., Butorin A.V. Development of optimal petroelastic models for sedimentary deposits in accretionary systems at a West Siberian field. PROneft. Professionally about Oil. 2025;10(3):28-34. (In Russ.) https://doi.org/10.51890/2587-7399-2025-10-3-28-34

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ISSN 2587-7399 (Print)
ISSN 2588-0055 (Online)