Released
Dataset

Fiber-optic- and conventional logging data for integrity investigations in Well RN-34, Iceland

Cite as:

Raab, Tobias; Reinsch, Thomas; Aldaz Cifuentes, Santiago; Henninges, Jan (2019): Fiber-optic- and conventional logging data for integrity investigations in Well RN-34, Iceland. GFZ Data Services. https://doi.org/10.5880/GFZ.4.8.2019.003

Status

I   N       R   E   V   I   E   W : Raab, Tobias; Reinsch, Thomas; Aldaz Cifuentes, Santiago; Henninges, Jan (2019): Fiber-optic- and conventional logging data for integrity investigations in Well RN-34, Iceland. GFZ Data Services. https://doi.org/10.5880/GFZ.4.8.2019.003

Abstract

The data set contains conventional- as well as distributed fiber-optic logging data recorded during the drilling of Well RN-34, located in the Reykjanes geothermal filed, Iceland. Published as well is part of the source code used to produce the data based figures in the SPE Journal paper Raab et al., 2019. For detailed information regarding the measurement geometry, timing of the measurements, and applied processing steps the reader is referred to corresponding publication. The accompanying data description file is explaining the file structure and contents in detail.


Licence statement:


This data set and part of the source code is available under the Creative Commons Attribution 4.0 International License (CC BY 4.0), excluding the conventional logging data owned by HS Orka.


The conventional logging data is contained in the \data\logs directory. As mandated by HS Orka, all data files contained in this directory are released under the Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND 4.0).


Part of the source code, i.e the old and new segy header structure (Line 1166 to 1314 in the WellFunc.py module), is adopted from the Obspy source code. The Obspy source code is released under the GNU Lesser General Public License (LGPL) v3.0. This code section remains under the LGPL v3.0 Licence. A copy of the LGP Licence is included as a separate text file.

Additional Information

Acknowledgement
Data were acquired within the framework of project IMAGE (Integrated Methods for Advanced Geothermal Exploration), funded by the EC Seventh Framework Programme under grant agreement No. 608553.


This study has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreements No. 654497 (GeoWell) 676564 (EPOS IP), and 691728 (DESTRESS).


We would like to thank our partners from the GeoWell project for the excellent collaboration, constant support during data acquisition and analysis as well as the fruitful discussions over the past years. We are especially grateful to Árni Ragnarsson, Ingólfur Örn Þorbjornsson and Gunnar Skúlason Kaldal and their colleagues from ÍSOR as well as Guðmundur Ómar Friðleifsson and Ómar Sigurðsson and their colleagues from HS ORKA. We would like to thank Andi Clarke and his colleagues from Silixa Ltd. for their effort during data acquisition and analysis. At GFZ, we would like to thank David Bruhn, Ernst Huenges, Philippe Jousset, Christian Cunow, Jörg Schrötter, and Ronny Giese as well as all colleagues in section 4.8 Geoenergy who contributed to this project in one form or the other.

Authors

Contact

  • Raab, Tobias (Researcher) ; GFZ German Research Centre for Geosciences, Potsdam, Germany;
  • Reinsch, Thomas (Researcher) ; GFZ German Research Centre for Geosciences, Potsdam, Germany;

Keywords

Fiber-optic sensing, Distributed Acoustic Sensing, Distributed Temperature Sensing, Well integrity monitoring, Downhole sensors, Well logging, monitoring > monitoring technique > monitoring system, resource > renewable resource, vibration > mechanical vibration

GCMD Science Keywords

Location

Please, click on markers, line , bounding boxes or the list below to see related details in popup.
To explore to full geographic extent of the map please click and drag the map.

    Files

    License: Attribution 4.0 International (CC BY 4.0) excluding the conventional logging data owned by HS Orka
    HS Orka Logging Data: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY NC ND 4.0)
    Well-Func.py: GNU Lesser General Public License, v. 3.0

    Dataset Description

    Supplement to