Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 9.197 IF 9.197
  • IF 5-year value: 9.612 IF 5-year
    9.612
  • CiteScore value: 12.5 CiteScore
    12.5
  • SNIP value: 3.137 SNIP 3.137
  • IPP value: 9.49 IPP 9.49
  • SJR value: 4.532 SJR 4.532
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 48 Scimago H
    index 48
  • h5-index value: 35 h5-index 35
Preprints
https://doi.org/10.5194/essd-2020-15
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-15
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 10 Mar 2020

Submitted as: data description paper | 10 Mar 2020

Review status
A revised version of this preprint is currently under review for the journal ESSD.

P3 – PetroPhysical Property Database – a global compilation of lab measured rock properties

Kristian Bär1, Thomas Reinsch2, and Judith Bott2 Kristian Bär et al.
  • 1Department of Geothermal Science and Technology, Institute of Applied Geosciences, Technische Universität Darmstadt, Schnittspahnstr. 9, Darmstadt, 64287, Germany
  • 2GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, 14473, Germany

Abstract. Petrophysical properties are key to populate local and/or regional numerical models and to interpret 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 are 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., 20182019: 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 characterization in a single compilation. Collected data include classical petrophysical, thermophysical and mechanical properties and, in addition, 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 standardized catalogues following a hierarchical structure ensuring inter-comparability for statistical analysis (Bär et al., 2019: P3 – Petrography, https://doi.org/10.5880/GFZ.4.8.2019.P3.p, Bär et al., 20182019: 3 – 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.

Kristian Bär et al.

Interactive discussion

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Topical Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Kristian Bär et al.

Data sets

P³ - PetroPhysical Property Database K. Bär, T. Reinsch, and J. Bott https://doi.org/10.5880/GFZ.4.8.2019.P3

Petrographic Classification Table for the PetroPhysical Property Database P³ K. Bär, P. Mielke, and K. Knorz https://doi.org/10.5880/GFZ.4.8.2019.P3.p

Stratigraphic Classification Table for the PetroPhysical Property Database P³ K. Bär and P. Mielke https://doi.org/10.5880/GFZ.4.8.2019.P3.s

Kristian Bär et al.

Viewed

Total article views: 468 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
314 147 7 468 5 8
  • HTML: 314
  • PDF: 147
  • XML: 7
  • Total: 468
  • BibTeX: 5
  • EndNote: 8
Views and downloads (calculated since 10 Mar 2020)
Cumulative views and downloads (calculated since 10 Mar 2020)

Viewed (geographical distribution)

Total article views: 391 (including HTML, PDF, and XML) Thereof 390 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 06 Jul 2020
Download
Short summary
Petrophysical properties are key to populate numerical models of subsurface process simulations and for the interpretation of many geophysical exploration methods. The P3 database presented here aims at providing easily accessible, peer-reviewed information on physical rock properties in one single compilation. The uniqueness of P3 emerges from its coverage & metadata structure. Each measured value is complemented by the corresponding location, petrography, stratigraphy and original reference.
Petrophysical properties are key to populate numerical models of subsurface process simulations...
Citation