Not logged in
Data Publisher for Earth & Environmental Science

Deusner, Christian; Gupta, Shubhangi (2019): Triaxial compression tests with gas hydrate-bearing sediments. PANGAEA,, Supplement to: Deusner, Christian; Gupta, Shubhangi; Xie, X-G; Leung, Y F; Uchida, S; Kossel, Elke; Haeckel, Matthias (2019): Strain Rate‐Dependent Hardening‐Softening Characteristics of Gas Hydrate‐Bearing Sediments. Geochemistry, Geophysics, Geosystems, 20(11), 4885-4905,

Always quote above citation when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

The overall data set contains experimental data sets (24) and numerical simulation data sets (9) referring to triaxial compression tests on gas hydrate-bearing sediments (see cited publication). The compression tests were carried out in the high-pressure apparatus NESSI (Natural Environment Simulator for Sub-seafloor Interactions) which was equipped with a triaxial cell mounted in a 40 L stainless steel vessel. Sediment samples were prepared from quartz sand (porosity 0.35, grain size 0.1 - 0.6 mm, G20TEAS, Schlingmeier, Schwülper, Germany), and mixed with defined amounts of deionized water. The partially water-saturated and thoroughly homogenized sediments were filled into the triaxial sample cell, which was equipped with a combination of a FKM sleeve and a latex rubber sleeve to obtain final sample dimensions of 160 mm in height and 80 mm in diameter. GH formation was carried out in normally consolidated samples at constant isotropic effective stress of 1 MPa using the excess-gas-method. Strain-controlled drained triaxial compression tests were performed after individual hold periods. The tests were carried out at axial strain rates 0.006, 0.06 and 0.6 %/min, and at constant minor principal stresses of 0.25, 0.5 and 1.0 MPa. Further details on experimental procedures can be found in the publication.
Gas hydrate-bearing sediments; Gas seeps; Geomechanics; High-pressure studies; Slope stability; THCM modelling
506.0 kBytes

Download Data

Download dataset