Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia

A three-dimensional numerical model of the Pauzhetsky geothermal field has been developed based on a conceptual hydrogeological model of the system. It extends over a 13.6-km2 area and includes three layers: (1) a base layer with inflow; (2) a geothermal reservoir; and (3) an upper layer with discha...

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Bibliographic Details
Main Authors: Finsterle, Stefan, Kiryukhin, A.V., Asaulova, N.P., Finsterle, S.
Language:unknown
Published: 2009
Subjects:
54
58
15
Online Access:http://www.osti.gov/servlets/purl/934977
https://www.osti.gov/biblio/934977
id ftosti:oai:osti.gov:934977
record_format openpolar
spelling ftosti:oai:osti.gov:934977 2023-07-30T04:04:34+02:00 Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia Finsterle, Stefan Kiryukhin, A.V. Asaulova, N.P. Finsterle, S. 2009-12-16 application/pdf http://www.osti.gov/servlets/purl/934977 https://www.osti.gov/biblio/934977 unknown http://www.osti.gov/servlets/purl/934977 https://www.osti.gov/biblio/934977 54 58 15 CALIBRATION COMPUTER CODES FORECASTING FRACTURES GEOTHERMAL FIELDS KAMCHATKA MASS BALANCE PERMEABILITY POROSITY POWER PLANTS PRODUCTION SIMULATION STEAM 2009 ftosti 2023-07-11T08:46:15Z A three-dimensional numerical model of the Pauzhetsky geothermal field has been developed based on a conceptual hydrogeological model of the system. It extends over a 13.6-km2 area and includes three layers: (1) a base layer with inflow; (2) a geothermal reservoir; and (3) an upper layer with discharge and recharge/infiltration areas. Using the computer program iTOUGH2 (Finsterle, 2004), the model is calibrated to a total of 13,675 calibration points, combining natural-state and 1960-2006 exploitation data. The principal model parameters identified and estimated by inverse modeling include the fracture permeability and fracture porosity of the geothermal reservoir, the initial natural upflow rate, the base-layer porosity, and the permeabilities of the infiltration zones. Heat and mass balances derived from the calibrated model helped identify the sources of the geothermal reserves in the field. With the addition of five makeup wells, simulation forecasts for the 2007-2032 period predict a sustainable average steam production of 29 kg/s, which is sufficient to maintain the generation of 6.8 MWe at the Pauzhetsky power plant. Other/Unknown Material Kamchatka SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54
58
15
CALIBRATION
COMPUTER CODES
FORECASTING
FRACTURES
GEOTHERMAL FIELDS
KAMCHATKA
MASS BALANCE
PERMEABILITY
POROSITY
POWER PLANTS
PRODUCTION
SIMULATION
STEAM
spellingShingle 54
58
15
CALIBRATION
COMPUTER CODES
FORECASTING
FRACTURES
GEOTHERMAL FIELDS
KAMCHATKA
MASS BALANCE
PERMEABILITY
POROSITY
POWER PLANTS
PRODUCTION
SIMULATION
STEAM
Finsterle, Stefan
Kiryukhin, A.V.
Asaulova, N.P.
Finsterle, S.
Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia
topic_facet 54
58
15
CALIBRATION
COMPUTER CODES
FORECASTING
FRACTURES
GEOTHERMAL FIELDS
KAMCHATKA
MASS BALANCE
PERMEABILITY
POROSITY
POWER PLANTS
PRODUCTION
SIMULATION
STEAM
description A three-dimensional numerical model of the Pauzhetsky geothermal field has been developed based on a conceptual hydrogeological model of the system. It extends over a 13.6-km2 area and includes three layers: (1) a base layer with inflow; (2) a geothermal reservoir; and (3) an upper layer with discharge and recharge/infiltration areas. Using the computer program iTOUGH2 (Finsterle, 2004), the model is calibrated to a total of 13,675 calibration points, combining natural-state and 1960-2006 exploitation data. The principal model parameters identified and estimated by inverse modeling include the fracture permeability and fracture porosity of the geothermal reservoir, the initial natural upflow rate, the base-layer porosity, and the permeabilities of the infiltration zones. Heat and mass balances derived from the calibrated model helped identify the sources of the geothermal reserves in the field. With the addition of five makeup wells, simulation forecasts for the 2007-2032 period predict a sustainable average steam production of 29 kg/s, which is sufficient to maintain the generation of 6.8 MWe at the Pauzhetsky power plant.
author Finsterle, Stefan
Kiryukhin, A.V.
Asaulova, N.P.
Finsterle, S.
author_facet Finsterle, Stefan
Kiryukhin, A.V.
Asaulova, N.P.
Finsterle, S.
author_sort Finsterle, Stefan
title Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia
title_short Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia
title_full Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia
title_fullStr Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia
title_full_unstemmed Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia
title_sort inverse modeling and forecasting for the exploitation of the pauzhetsky geothermal field, kamchatka, russia
publishDate 2009
url http://www.osti.gov/servlets/purl/934977
https://www.osti.gov/biblio/934977
genre Kamchatka
genre_facet Kamchatka
op_relation http://www.osti.gov/servlets/purl/934977
https://www.osti.gov/biblio/934977
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