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.
|Title of host publication||ISRM International Symposium - 8th Asian Rock Mechanics Symposium, ARMS 2014|
|Editors||Kaneko, Kodama, Shimizu|
|Publisher||International Society for Rock Mechanics|
|Number of pages||7|
|Publication status||Published - 2014|
|Event||8th Asian Rock Mechanics Symposium, ARMS 2014 - Sapporo, Japan|
Duration: 2014 Oct 14 → 2014 Oct 16
|Name||ISRM International Symposium - 8th Asian Rock Mechanics Symposium, ARMS 2014|
|Other||8th Asian Rock Mechanics Symposium, ARMS 2014|
|Period||14/10/14 → 14/10/16|
Bibliographical noteFunding 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).
© 2014 by Japanese Committee for Rock Mechanics.
All Science Journal Classification (ASJC) codes
- Geochemistry and Petrology