Abstract. Petrophysical properties are key to populating local and/or
regional numerical models and to interpreting results from geophysical
investigation methods. Searching for rock property values measured on
samples from a specific rock unit at a specific location might become a very
time-consuming challenge given that such data are spread across diverse
compilations and that the number of publications on new measurements is
continuously growing and data are of heterogeneous quality. Profiting from
existing laboratory data to populate numerical models or interpret
geophysical surveys at specific locations or for individual reservoir units
is often hampered if information on the sample location, petrography,
stratigraphy, measuring method and conditions is sparse or not documented. Within the framework of the EC-funded project IMAGE (Integrated Methods for
Advanced Geothermal Exploration, EU grant agreement no. 608553), an
open-access database of lab-measured petrophysical properties has been
developed (Bär et al., 2017, 2019b: P3 – database,
https://doi.org/10.5880/GFZ.4.8.2019.P3. The goal of this hierarchical
database is to provide easily accessible information on physical rock
properties relevant for geothermal exploration and reservoir
characterisation in a single compilation. Collected data include classical
petrophysical, thermophysical, and mechanical properties as well as electrical conductivity and magnetic susceptibility. Each measured value is
complemented by relevant meta-information such as the corresponding sample
location, petrographic description, chronostratigraphic age, if available,
and original citation. The original stratigraphic and petrographic
descriptions are transferred to standardised catalogues following a
hierarchical structure ensuring inter-comparability for statistical analysis
(Bär and Mielke, 2019: P3 – petrography,
https://doi.org/10.5880/GFZ.4.8.2019.P3.p; Bär et al., 2018, 2019a:
P3 – stratigraphy,
https://doi.org/10.5880/GFZ.4.8.2019.P3.s). In addition, information on
the experimental setup (methods) and the measurement conditions are listed
for quality control. Thus, rock properties can directly be related to
in situ conditions to derive specific parameters relevant for simulating
subsurface processes or interpreting geophysical data. We describe the structure, content and status quo of the database and
discuss its limitations and advantages for the end user.