Inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the Southern German Molasse Basin
<p>The localization and characterization of hydraulically active zones in a geothermal well is a major task in understanding the hydro geothermal reservoir. This is often done based on interpretations of spinner flow meter measurements that are performed at the end of the well test while injec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-01-01
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| Series: | Advances in Geosciences |
| Online Access: | https://adgeo.copernicus.org/articles/58/101/2023/adgeo-58-101-2023.pdf |
| _version_ | 1797957084942172160 |
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| author | F. Schölderle D. Pfrang K. Zosseder |
| author_facet | F. Schölderle D. Pfrang K. Zosseder |
| author_sort | F. Schölderle |
| collection | DOAJ |
| description | <p>The localization and characterization of hydraulically active zones in a
geothermal well is a major task in understanding the hydro geothermal
reservoir. This is often done based on interpretations of spinner flow meter
measurements that are performed at the end of the well test while injecting
cold water. Once a production well is equipped with an electric submersible
pump, data collection inside the reservoir and monitoring of the flow zones
is usually barely possible. In a 3.7 km (MD) deep geothermal production well
in Munich, Germany, it was successfully demonstrated in 2019 that a
permanently installed optical fiber cable could close this measurement gap.
We used this fiber-optic monitoring system to collect distributed
temperature data once the well was set into production. We inversely modeled
the inflow from the formation into the borehole from the production
temperature data with an energy and mass balance model. The derived flow
profile correlates with previous flow meter analysis and indicates that a
karstified region at the very top of the reservoir is the driving factor for
hydraulics and obtained production temperature. Qualitatively, the two
profiles acquired by distributed temperature sensing (DTS) and flow meter
are matchable, yet the production inflow profile by DTS logging is more
differentiated compared to spinner flow meter logs interpretation during
injection.</p> |
| first_indexed | 2024-04-10T23:58:50Z |
| format | Article |
| id | doaj.art-4feef86dabf548d3b8e94f8abd4c2d98 |
| institution | Directory Open Access Journal |
| issn | 1680-7340 1680-7359 |
| language | English |
| last_indexed | 2024-04-10T23:58:50Z |
| publishDate | 2023-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Advances in Geosciences |
| spelling | doaj.art-4feef86dabf548d3b8e94f8abd4c2d982023-01-10T07:00:10ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592023-01-015810110810.5194/adgeo-58-101-2023Inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the Southern German Molasse BasinF. SchölderleD. PfrangK. Zosseder<p>The localization and characterization of hydraulically active zones in a geothermal well is a major task in understanding the hydro geothermal reservoir. This is often done based on interpretations of spinner flow meter measurements that are performed at the end of the well test while injecting cold water. Once a production well is equipped with an electric submersible pump, data collection inside the reservoir and monitoring of the flow zones is usually barely possible. In a 3.7 km (MD) deep geothermal production well in Munich, Germany, it was successfully demonstrated in 2019 that a permanently installed optical fiber cable could close this measurement gap. We used this fiber-optic monitoring system to collect distributed temperature data once the well was set into production. We inversely modeled the inflow from the formation into the borehole from the production temperature data with an energy and mass balance model. The derived flow profile correlates with previous flow meter analysis and indicates that a karstified region at the very top of the reservoir is the driving factor for hydraulics and obtained production temperature. Qualitatively, the two profiles acquired by distributed temperature sensing (DTS) and flow meter are matchable, yet the production inflow profile by DTS logging is more differentiated compared to spinner flow meter logs interpretation during injection.</p>https://adgeo.copernicus.org/articles/58/101/2023/adgeo-58-101-2023.pdf |
| spellingShingle | F. Schölderle D. Pfrang K. Zosseder Inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the Southern German Molasse Basin Advances in Geosciences |
| title | Inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the Southern German Molasse Basin |
| title_full | Inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the Southern German Molasse Basin |
| title_fullStr | Inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the Southern German Molasse Basin |
| title_full_unstemmed | Inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the Southern German Molasse Basin |
| title_short | Inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the Southern German Molasse Basin |
| title_sort | inverse flow zone characterization using distributed temperature sensing in a deep geothermal production well located in the southern german molasse basin |
| url | https://adgeo.copernicus.org/articles/58/101/2023/adgeo-58-101-2023.pdf |
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