MODELING THE PAUZHETSKY GEOTHERMAL FIELD, KAMCHATKA

The forward TOUGH2 modeling study of the Pauzhetsky geothermal field (Kiryukhin and Yampolsky, 2004) was followed by an iTOUGH2 analysis to obtain more reliable reservoir parameter estimations. The model was automatically calibrated against (1) natural state and (2) production data. For the natural...

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Main Authors: A. V. Kiryukhin, N. P. Asaulova, T. V. Rychkova, N. V. Obora
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.9156
http://kcs.dvo.ru/ivs/bibl/sotrudn/kiryukhin/1B9.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.566.9156 2023-05-15T16:59:13+02:00 MODELING THE PAUZHETSKY GEOTHERMAL FIELD, KAMCHATKA A. V. Kiryukhin N. P. Asaulova T. V. Rychkova N. V. Obora The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.9156 http://kcs.dvo.ru/ivs/bibl/sotrudn/kiryukhin/1B9.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.9156 http://kcs.dvo.ru/ivs/bibl/sotrudn/kiryukhin/1B9.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://kcs.dvo.ru/ivs/bibl/sotrudn/kiryukhin/1B9.pdf Pauzhetsky Geothermal Modeling Exploitation iTOUGH2 text ftciteseerx 2016-01-08T12:18:23Z The forward TOUGH2 modeling study of the Pauzhetsky geothermal field (Kiryukhin and Yampolsky, 2004) was followed by an iTOUGH2 analysis to obtain more reliable reservoir parameter estimations. The model was automatically calibrated against (1) natural state and (2) production data. For the natural state modeling, calibration data include 68 points (2 natural discharge rates, 14 reservoir pressures at-250 m.a.s.l., and 52 reservoir vertically averaged temperatures). The different quality of the calibration points was expressed by specifying appropriate standard deviations. Preliminary estimates of the principal parameters are: (1) permeability k = 83 mD, and (2) an upflow rate Qb = 46.5 kg/s. For the modeling of the exploitation phase, calibration data include 60 datasets: enthalpies of the exploitation wells (10 data sets), pressures in monitoring wells (24 data sets), and temperatures in monitoring wells (26 data sets), with a total of 15,030 calibration points. The following parameters are estimated: (1) reservoir fracture porosity, (2) basement porosity, and (3) infiltration “window ” permeabilities. Model calibration will be followed by an analysis of the sustainable capacity of the Pauzhetsky field. Text Kamchatka Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic Pauzhetsky
Geothermal
Modeling
Exploitation
iTOUGH2
spellingShingle Pauzhetsky
Geothermal
Modeling
Exploitation
iTOUGH2
A. V. Kiryukhin
N. P. Asaulova
T. V. Rychkova
N. V. Obora
MODELING THE PAUZHETSKY GEOTHERMAL FIELD, KAMCHATKA
topic_facet Pauzhetsky
Geothermal
Modeling
Exploitation
iTOUGH2
description The forward TOUGH2 modeling study of the Pauzhetsky geothermal field (Kiryukhin and Yampolsky, 2004) was followed by an iTOUGH2 analysis to obtain more reliable reservoir parameter estimations. The model was automatically calibrated against (1) natural state and (2) production data. For the natural state modeling, calibration data include 68 points (2 natural discharge rates, 14 reservoir pressures at-250 m.a.s.l., and 52 reservoir vertically averaged temperatures). The different quality of the calibration points was expressed by specifying appropriate standard deviations. Preliminary estimates of the principal parameters are: (1) permeability k = 83 mD, and (2) an upflow rate Qb = 46.5 kg/s. For the modeling of the exploitation phase, calibration data include 60 datasets: enthalpies of the exploitation wells (10 data sets), pressures in monitoring wells (24 data sets), and temperatures in monitoring wells (26 data sets), with a total of 15,030 calibration points. The following parameters are estimated: (1) reservoir fracture porosity, (2) basement porosity, and (3) infiltration “window ” permeabilities. Model calibration will be followed by an analysis of the sustainable capacity of the Pauzhetsky field.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author A. V. Kiryukhin
N. P. Asaulova
T. V. Rychkova
N. V. Obora
author_facet A. V. Kiryukhin
N. P. Asaulova
T. V. Rychkova
N. V. Obora
author_sort A. V. Kiryukhin
title MODELING THE PAUZHETSKY GEOTHERMAL FIELD, KAMCHATKA
title_short MODELING THE PAUZHETSKY GEOTHERMAL FIELD, KAMCHATKA
title_full MODELING THE PAUZHETSKY GEOTHERMAL FIELD, KAMCHATKA
title_fullStr MODELING THE PAUZHETSKY GEOTHERMAL FIELD, KAMCHATKA
title_full_unstemmed MODELING THE PAUZHETSKY GEOTHERMAL FIELD, KAMCHATKA
title_sort modeling the pauzhetsky geothermal field, kamchatka
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.9156
http://kcs.dvo.ru/ivs/bibl/sotrudn/kiryukhin/1B9.pdf
genre Kamchatka
genre_facet Kamchatka
op_source http://kcs.dvo.ru/ivs/bibl/sotrudn/kiryukhin/1B9.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.9156
http://kcs.dvo.ru/ivs/bibl/sotrudn/kiryukhin/1B9.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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