TR32-Database: Database of Transregio 32

[1068] - On self-potential data for estimating permeability in enhanced geothermal systems

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Citation
Vogt, C., Klitzsch, N., Rath, V., 2014. On self-potential data for estimating permeability in enhanced geothermal systems. Geothermics, 51, 201 - 213. DOI: 10.1016/j.geothermics.2014.01.008.
Identification
Title(s):Main Title: On self-potential data for estimating permeability in enhanced geothermal systems
Description(s):Abstract: We study the use of hypothetical self-potential (SP) data – more specifically streaming-potential data – for the inversion of subsurface permeability distributions, using the enhanced geothermal system at Soultz-sous-Forêts, France, and a synthetic geothermal hard-rock reservoir as examples.Simulations are carried out using the software SHEMAT-Suite. We perform this study based on results obtained via a massive Monte Carlo approach and additionally use the Ensemble Kalman Filter technique for the inversion. In a first step, we perform forward simulations and assume that SP data is measured along the production and injection wells. The SP monitoring data mainly depend on the near-field (150 m)mpermeability around these wells. In this case, the SP signal is in good agreement with the distribution of the hydraulic head.In contrast, Darcy velocity and possible tracer pathways identified by tracer experiments cannot be identified uniquely based on SP data.Alternatively, stochastic inversion is done based on data recorded in deviated wells distributed around the production and injection wells.In this case, principal fluid pathways and permeability magnitudes are reproduced by stochastic inversion of the SP data.The results are comparable to results obtained by tracer experiments.Joint inversion of tracer and SP data yields the best results in terms of small estimation mismatch.Permeability and pathway geometry can be adequately estimated even for an incorrect coupling coefficient as long as it does not differ more than half an order of magnitude from the true value.
Identifier(s):DOI: 10.1016/j.geothermics.2014.01.008
Responsible Party
Creator(s):Author: Christian Vogt
Author: Norbert Klitzsch
Author: Volker Rath
Publisher:Elsevier
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Permeability
File Details
File Name:Vogt_Geothermics_2014.pdf
Data Type:Text
File Size:4096 kB (4 MB)
Date(s):Date Accepted: 2014-01-20
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
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Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Status:Accepted
Review:PeerReview
Year:2014
Type:Article
Article Type:Journal
Source:Geothermics
Volume:51
Number Of Pages:13
Page Range:201 - 213
Metadata Details
Metadata Creator:Ulrike Lussem
Metadata Created:2014-09-18
Metadata Last Updated:2014-09-18
Subproject:A2
Funding Phase:2
Metadata Language:English
Metadata Version:V40
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