TU Darmstadt / ULB / TUbiblio

Combining numerical modeling with geostatistical analysis for an improved basin analysis

Rühaak, W. and Bär, K. and Sass, I. (2015):
Combining numerical modeling with geostatistical analysis for an improved basin analysis.
In: European Geothermal Workshop 2015, Strasbourg, 19.-20.10.2015, [Conference or Workshop Item]

Abstract

Subsurface temperature is one of the key parameters in the analysis of a sedimentary basin, for instance with respect to geothermal or oil and gas exploration. The estimation of the reservoir temperature is of high importance and usually done either by interpolation of temperature data or numerical modeling. However, temperature measurements of depths larger than a few hundred meters are generally very sparse. A pure interpolation of such sparse data always involves big uncertainties and usually neglects knowledge of the reservoir geometry or reservoir properties. Kriging with trend does allow including secondary data to improve the interpolation of the primary one. Using this approach temperature measurements of depths larger than 1,000 m of the federal state of Hessen/Germany have been interpolated in 3D. A conductive numerical 3D temperature model was used as secondary information. This way the interpolation result reflects also the geological structure. As a result the quality of the estimation improves considerably.

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Rühaak, W. and Bär, K. and Sass, I.
Title: Combining numerical modeling with geostatistical analysis for an improved basin analysis
Language: English
Abstract:

Subsurface temperature is one of the key parameters in the analysis of a sedimentary basin, for instance with respect to geothermal or oil and gas exploration. The estimation of the reservoir temperature is of high importance and usually done either by interpolation of temperature data or numerical modeling. However, temperature measurements of depths larger than a few hundred meters are generally very sparse. A pure interpolation of such sparse data always involves big uncertainties and usually neglects knowledge of the reservoir geometry or reservoir properties. Kriging with trend does allow including secondary data to improve the interpolation of the primary one. Using this approach temperature measurements of depths larger than 1,000 m of the federal state of Hessen/Germany have been interpolated in 3D. A conductive numerical 3D temperature model was used as secondary information. This way the interpolation result reflects also the geological structure. As a result the quality of the estimation improves considerably.

Divisions: 11 Department of Materials and Earth Sciences
11 Department of Materials and Earth Sciences > Earth Science
11 Department of Materials and Earth Sciences > Earth Science > Geothermal Science and Technology
Event Title: European Geothermal Workshop 2015
Event Location: Strasbourg
Event Dates: 19.-20.10.2015
Date Deposited: 06 Nov 2015 15:46
Export:

Optionen (nur für Redakteure)

View Item View Item