Deconvolution well test analysis applied to a long-term data set of the Waiwera geothermal reservoir (New Zealand)
<p>The geothermal reservoir at Waiwera has been subject to active exploitation for a long time. It is located below the village on the Northern Island of New Zealand and has been used commercially since 1863. The continuous production of geothermal water, to supply hotels and spas, had a negat...
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Format: | Article |
Language: | English |
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Copernicus Publications
2021-11-01
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Series: | Advances in Geosciences |
Online Access: | https://adgeo.copernicus.org/articles/56/107/2021/adgeo-56-107-2021.pdf |
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author | M. Kühn M. Kühn L. Grabow L. Grabow L. Grabow |
author_facet | M. Kühn M. Kühn L. Grabow L. Grabow L. Grabow |
author_sort | M. Kühn |
collection | DOAJ |
description | <p>The geothermal reservoir at Waiwera has been subject to
active exploitation for a long time. It is located below the village on the
Northern Island of New Zealand and has been used commercially since 1863.
The continuous production of geothermal water, to supply hotels and spas,
had a negative impact on the reservoir. So far, the physical relation
between abstraction rates and water level change of the hydrogeological
system is only fairly understood. The aim of this work was to link the
influence of rates to the measured data to derive reservoir properties. For
this purpose, the daily abstraction history was investigated by means of a
variable production rate well test analysis. For the analysis, a modified
deconvolution algorithm was implemented. The algorithm derives the reservoir
response function by solving a least square problem with the unique feature
of imposing only implicit constraints on the solution space. To further
investigate the theoretical performance of the algorithm a simulation with
synthetic data was conducted for three possible reservoir scenarios. Results
throughout all years indicate radial flow during middle-time behaviour and a
leaky flow boundary during late-time behaviour. For middle-time behaviour,
the findings agree very well with prior results of a pumping test. For the
future, a more extensive investigation of different flow conditions under
different parametrisations should be conducted.</p> |
first_indexed | 2024-12-21T04:29:50Z |
format | Article |
id | doaj.art-7e435017dc7b446f91a930b7d07ade0b |
institution | Directory Open Access Journal |
issn | 1680-7340 1680-7359 |
language | English |
last_indexed | 2024-12-21T04:29:50Z |
publishDate | 2021-11-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Advances in Geosciences |
spelling | doaj.art-7e435017dc7b446f91a930b7d07ade0b2022-12-21T19:15:58ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592021-11-015610711610.5194/adgeo-56-107-2021Deconvolution well test analysis applied to a long-term data set of the Waiwera geothermal reservoir (New Zealand)M. Kühn0M. Kühn1L. Grabow2L. Grabow3L. Grabow4GFZ German Research Centre for Geosciences, Fluid Systems Modelling, Potsdam, GermanyUniversity of Potsdam, Institute of Geosciences, Potsdam, GermanyGFZ German Research Centre for Geosciences, Fluid Systems Modelling, Potsdam, GermanyUniversity of Potsdam, Institute of Geosciences, Potsdam, GermanyTechnische Universität Dresden, Institute of Hydrology and Meteorology, Dresden, Germany<p>The geothermal reservoir at Waiwera has been subject to active exploitation for a long time. It is located below the village on the Northern Island of New Zealand and has been used commercially since 1863. The continuous production of geothermal water, to supply hotels and spas, had a negative impact on the reservoir. So far, the physical relation between abstraction rates and water level change of the hydrogeological system is only fairly understood. The aim of this work was to link the influence of rates to the measured data to derive reservoir properties. For this purpose, the daily abstraction history was investigated by means of a variable production rate well test analysis. For the analysis, a modified deconvolution algorithm was implemented. The algorithm derives the reservoir response function by solving a least square problem with the unique feature of imposing only implicit constraints on the solution space. To further investigate the theoretical performance of the algorithm a simulation with synthetic data was conducted for three possible reservoir scenarios. Results throughout all years indicate radial flow during middle-time behaviour and a leaky flow boundary during late-time behaviour. For middle-time behaviour, the findings agree very well with prior results of a pumping test. For the future, a more extensive investigation of different flow conditions under different parametrisations should be conducted.</p>https://adgeo.copernicus.org/articles/56/107/2021/adgeo-56-107-2021.pdf |
spellingShingle | M. Kühn M. Kühn L. Grabow L. Grabow L. Grabow Deconvolution well test analysis applied to a long-term data set of the Waiwera geothermal reservoir (New Zealand) Advances in Geosciences |
title | Deconvolution well test analysis applied to a long-term data set of the Waiwera geothermal reservoir (New Zealand) |
title_full | Deconvolution well test analysis applied to a long-term data set of the Waiwera geothermal reservoir (New Zealand) |
title_fullStr | Deconvolution well test analysis applied to a long-term data set of the Waiwera geothermal reservoir (New Zealand) |
title_full_unstemmed | Deconvolution well test analysis applied to a long-term data set of the Waiwera geothermal reservoir (New Zealand) |
title_short | Deconvolution well test analysis applied to a long-term data set of the Waiwera geothermal reservoir (New Zealand) |
title_sort | deconvolution well test analysis applied to a long term data set of the waiwera geothermal reservoir new zealand |
url | https://adgeo.copernicus.org/articles/56/107/2021/adgeo-56-107-2021.pdf |
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