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On the Relationship of Poisson’s Ratio with Geophysical Characteristics of Rocks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A44UZ48GQ" target="_blank" >RIV/00216208:11320/25:44UZ48GQ - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200919960&doi=10.18599%2fgrs.2024.2.7&partnerID=40&md5=5af88c3d9f8a7d8c31d81c4b0630543b" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200919960&doi=10.18599%2fgrs.2024.2.7&partnerID=40&md5=5af88c3d9f8a7d8c31d81c4b0630543b</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18599/grs.2024.2.7" target="_blank" >10.18599/grs.2024.2.7</a>

Alternative languages

  • Result language

    ruština

  • Original language name

    On the Relationship of Poisson’s Ratio with Geophysical Characteristics of Rocks

  • Original language description

    Currently, there are no reliable universal dependencies of the Poisson’s ratio on the geomechanical and geophysical characteristics of productive objects. This study aims to investigate the influence of geophysical parameters on the Poisson’s ratio for oilfield productive objects using machine learning methods. The analysis is based on data from several oil and gas fields, presenting results of dependencies between the Poisson’s ratio and parameters such as natural radioactivity of rocks and P-wave velocity. The elastic parameters were identified through triaxial tests of rock samples under reservoir conditions conducted on the PIK-UIDK/PL triaxial system at Perm National Research Polytechnic University. A brief overview of existing standards for conducting triaxial tests is also provided. The importance of standardizing methods for determining the Poisson’s ratio and other elastic parameters of rocks is emphasized to ensure comparability of research results from different fields and their applicability in various geological conditions. The proposed data analysis method relies on linear regression and machine learning methods to establish stable relationships between the Poisson’s ratio and geophysical parameters obtained from various well logging studies. These dependencies allow for more accurate estimation of the Poisson’s ratio for different types of rocks and fields, representing a significant step in developing methods for assessing elastic properties of rocks in oil fields. The obtained results can be used for more precise modeling and forecasting of oil field development processes, contributing to increased efficiency in hydrocarbon extraction and optimization of production processes in the oil industry. © 2024, Georesursy LLC. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Georesursy

  • ISSN

    1608-5043

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    RU - RUSSIAN FEDERATION

  • Number of pages

    7

  • Pages from-to

    69-75

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85200919960