IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v53y2013icp230-241.html
   My bibliography  Save this article

Modeling contribution to risk assessment of thermal production power for geothermal reservoirs

Author

Listed:
  • Vogt, Christian
  • Iwanowski-Strahser, Katja
  • Marquart, Gabriele
  • Arnold, Juliane
  • Mottaghy, Darius
  • Pechnig, Renate
  • Gnjezda, Daniel
  • Clauser, Christoph

Abstract

We analyze the likelihood of success for heat production strategies in a sandstone reservoir in the north-eastern German basin in a depth of about 2 km by simulating both double and single well configurations. For this test case study we use an exploited oil and gas field. We combine seismic interpretation, numerical modeling, and stochastic estimation of rock properties to predict the transient temperature and pressure variations and their uncertainties in a geothermal reservoir. We demonstrate the essential necessity in geothermal reservoir modeling to account for heterogeneity of rock properties. We use 3D seismic data and stratigraphy data from about 100 wells at 1500 m – 2500 m depth for setting up a 3D stratigraphic model. Rock properties are assigned to this model by a Monte Carlo approach using Sequential Gaussian Simulation. Using 3D inversion of temperature data obtained in the wells we estimate a specific heat flow of 77.7 mW m−2 ± 1.2 mW m−2 at 6 km depth, in agreement with a temperature of 87.1 °C ± 1.8 K in the Rhaetian sandstone target layer at a depth of ∼2 km. For different types of potential geothermal well installations inside the Rhaetian sandstone layer the probability of success is just 1.6%.

Suggested Citation

  • Vogt, Christian & Iwanowski-Strahser, Katja & Marquart, Gabriele & Arnold, Juliane & Mottaghy, Darius & Pechnig, Renate & Gnjezda, Daniel & Clauser, Christoph, 2013. "Modeling contribution to risk assessment of thermal production power for geothermal reservoirs," Renewable Energy, Elsevier, vol. 53(C), pages 230-241.
    • Handle: RePEc:eee:renene:v:53:y:2013:i:c:p:230-241
    DOI: 10.1016/j.renene.2012.11.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148112007434
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2012.11.026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Compernolle, Tine & Welkenhuysen, Kris & Petitclerc, Estelle & Maes, Dries & Piessens, Kris, 2019. "The impact of policy measures on profitability and risk in geothermal energy investments," Energy Economics, Elsevier, vol. 84(C).
    2. Wang, Yang & Voskov, Denis & Khait, Mark & Saeid, Sanaz & Bruhn, David, 2021. "Influential factors on the development of a low-enthalpy geothermal reservoir: A sensitivity study of a realistic field," Renewable Energy, Elsevier, vol. 179(C), pages 641-651.
    3. Daniilidis, Alexandros & Alpsoy, Betül & Herber, Rien, 2017. "Impact of technical and economic uncertainties on the economic performance of a deep geothermal heat system," Renewable Energy, Elsevier, vol. 114(PB), pages 805-816.
    4. Franco, Alessandro & Vaccaro, Maurizio, 2014. "Numerical simulation of geothermal reservoirs for the sustainable design of energy plants: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 987-1002.
    5. Babaei, Masoud & Nick, Hamidreza M., 2019. "Performance of low-enthalpy geothermal systems: Interplay of spatially correlated heterogeneity and well-doublet spacings," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Saeid, Sanaz & Al-Khoury, Rafid & Nick, Hamidreza M. & Hicks, Michael A., 2015. "A prototype design model for deep low-enthalpy hydrothermal systems," Renewable Energy, Elsevier, vol. 77(C), pages 408-422.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:53:y:2013:i:c:p:230-241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.