Statistical correlation between thermal conductivity and wave velocities in rocks

Y. J. Jeong, S. H. Han, K. Y. Kim, T. S. Yun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study reports experimental results of not only thermal conductivity but also compression and shear wave velocities for wide range of rock samples recovered in Korea. Total 45 rock specimens are gathered to represent the different origins, mineralogy, and density. The divided bar method is implemented to obtain thermal conductivity in steady-state and piezo-transducers at kHz ranges are used to measure wave velocities. Measured values are subjected to multiple-regression and statistical analysis with dominant factors of density, which allows constructing the correlative relationship between thermal conductivity and stiffness. Artificial Neural Network (ANN) which learns relationships between data predicts thermal conductivity of rock based on collected physical properties using nonlinear multiple-regression. The statistical approaches using optimal interpolation help understanding and extending correlated multiple geophysical properties in characterization of rocks.

Original languageEnglish
Title of host publicationISRM International Symposium - 8th Asian Rock Mechanics Symposium, ARMS 2014
Editors Kaneko, Kodama, Shimizu
PublisherInternational Society for Rock Mechanics
Pages372-378
Number of pages7
ISBN (Electronic)9784907430030
Publication statusPublished - 2014
Event8th Asian Rock Mechanics Symposium, ARMS 2014 - Sapporo, Japan
Duration: 2014 Oct 142014 Oct 16

Publication series

NameISRM International Symposium - 8th Asian Rock Mechanics Symposium, ARMS 2014

Other

Other8th Asian Rock Mechanics Symposium, ARMS 2014
Country/TerritoryJapan
CitySapporo
Period14/10/1414/10/16

Bibliographical note

Funding Information:
This work was supported by the Korea CCS R&D Center (KCRC) and the National Research Foundation (NRF) grants funded by the Korea government (Ministry of Science, ICT & Future Planning and MSIP) (No.2013035972, No. 2011-0030040) and a grant from the New & Renewable Energy Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), funded by the Ministry of Trade, Industry & Energy of the Korean Government (No. 20123010110010).

Publisher Copyright:
© 2014 by Japanese Committee for Rock Mechanics.

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Geochemistry and Petrology

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