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Citation URL: http://www.osti.gov/geothermal/product.biblio.jsp?osti_id=1050872
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| Title: |
Fracture Characterization in Enhanced Geothermal Systems by Wellbore and Reservoir Analysis |
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| Creator/Author: |
Roland N. Horne, Kewen Li, Mohammed Alaskar, Morgan Ames, Carla Co, Egill Juliusson, Lilja Magnusdottir
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| Publication Date: | 2012 Jun 30 |
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| OSTI Identifier: | OSTI 1050872 |
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| Report Number(s): | Final2012 |
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| DOE Contract Number: | FG36-08GO18192 |
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| Document Type: | Technical Report |
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| Specific Type: | |
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| Coverage: | Final |
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| Resource Relation: | |
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| Other Number(s): | |
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| Research Org: | Stanford University |
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| Sponsoring Org: | USDOE |
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| Subject: | 15 GEOTHERMAL ENERGY |
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| Keywords: | fractures, nanosensors, resistivity, enhanced geothermal systems |
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| Description/Abstract: | This report highlights the work that was done to characterize fractured geothermal reservoirs
using production data. That includes methods that were developed to infer characteristic
functions from production data and models that were designed to optimize reinjection scheduling
into geothermal reservoirs, based on these characteristic functions.
The characterization method provides a robust way of interpreting tracer and flow rate data from
fractured reservoirs. The flow-rate data are used to infer the interwell connectivity, which
describes how injected fluids are divided between producers in the reservoir. The tracer data are
used to find the tracer kernel for each injector-producer connection. The tracer kernel describes
the volume and dispersive properties of the interwell flow path. A combination of parametric and
nonparametric regression methods were developed to estimate the tracer kernels for situations
where data is collected at variable flow-rate or variable injected concentration conditions.
The characteristic functions can be used to calibrate thermal transport models, which can in turn
be used to predict the productivity of geothermal systems. This predictive model can be used to
optimize injection scheduling in a geothermal reservoir, as is illustrated in this report. |
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| Publisher: | |
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| Country of Publication: | US |
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| Language: | English |
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| Size/Format: | Medium: ED; Size: 7MB |
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| Rights: | |
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| Availability: | |
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| System Entry Date: | 2012 Dec 13 |
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