On self-potential data for estimating permeability in enhanced geothermal systems
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- 作者：Christian Vogta ; cvogt@eonerc.rwth-aachen.de" class="auth_mail ; Norbert Klitzscha ; Volker Rathb
- 关键词：Streaming potential ; Geothermal reservoir ; EGS ; Ensemble Kalman Filter ; Soultz-sous-Forê ; ts
- 刊名：Geothermics
- 出版年：July 2014
- 年：2014
- 卷：51
- 期：Complete
- 页码：201-213
- 全文大小：4080 K
文摘
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We study the use of SP data for inverting deep permeability distributions.
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SP data mainly depend on the near-field (150 m) permeability around the wells.
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Injection and production cells dominate data assimilation using the EnKF.
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Deviated wells allow stochastic inversion of SP data to estimate fluid pathways.
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Slightly incorrect coupling coefficient still allows for estimating permeability.