How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings?
Abstract In this study, we report results of the analysis of a particularly interesting scaling sample from the geothermal plant in Neustadt-Glewe in northern Germany, which contained 19% Galena (PbS) and 81% of a heterogeneous assemblage of (Ba,Sr)SO4 crystals with varying compositions, 0.15 < X...
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2017-06-01
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Online Access: | http://link.springer.com/article/10.1186/s40517-017-0068-x |
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doaj-18138a533bcf47f3929a1cb9475566f62020-11-25T01:42:26ZengSpringerOpenGeothermal Energy2195-97062017-06-015111610.1186/s40517-017-0068-xHow well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings?Frank Heberling0Dieter Schild1Detlev Degering2Thorsten Schäfer3Institute for Nuclear Waste Disposal, Karlsruhe Institute of TechnologyInstitute for Nuclear Waste Disposal, Karlsruhe Institute of TechnologyVKTA-Strahlenschutz, Analytik & Entsorgung Rossendorf e. V.Institute for Nuclear Waste Disposal, Karlsruhe Institute of TechnologyAbstract In this study, we report results of the analysis of a particularly interesting scaling sample from the geothermal plant in Neustadt-Glewe in northern Germany, which contained 19% Galena (PbS) and 81% of a heterogeneous assemblage of (Ba,Sr)SO4 crystals with varying compositions, 0.15 < X Ba < 0.53. A main fraction of the sample (~56%) has a barite content of X Ba ≈ 0.32. We try to relate the solid composition of the (Ba,Sr)SO4 solid-solution to the conditions at the geothermal plant concerning temperature, pressure, and solution composition, and discuss it with respect to the challenges in modelling the composition of (Ba,Sr)SO4 solid-solutions on the basis of thermodynamic mixing models. We note that considerable uncertainties are related to the description of (Ba,Sr)SO4 formation by means of thermodynamic models. The scaling composition observed in this study would be in line with endmember solubilities as predicted by the PhreeqC-Pitzer database for 70 °C and an interaction parameter, a 0 = 1.6. According to such a model, the scaling heterogeneity would reflect bimodal precipitation behaviour due to various degrees of depletion of the brine with respect to X(Ba)(aq). Minor fluctuations in X(Ba)(aq): 0.0017 < X(Ba)(aq) < 0.0042 explain the full range of observed solid compositions. The choice especially of the interaction parameter seems to some extent arbitrary. This knowledge gap strongly limits the interpretation of (Ba,Sr)SO4 compositions. Thus, it is not possible to distinguish between kinetic and thermodynamic effects on partitioning or to use the solid-solution composition to draw conclusions about the precipitation conditions (e.g. Temperature).http://link.springer.com/article/10.1186/s40517-017-0068-x |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Frank Heberling Dieter Schild Detlev Degering Thorsten Schäfer |
spellingShingle |
Frank Heberling Dieter Schild Detlev Degering Thorsten Schäfer How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings? Geothermal Energy |
author_facet |
Frank Heberling Dieter Schild Detlev Degering Thorsten Schäfer |
author_sort |
Frank Heberling |
title |
How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings? |
title_short |
How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings? |
title_full |
How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings? |
title_fullStr |
How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings? |
title_full_unstemmed |
How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings? |
title_sort |
how well suited are current thermodynamic models to predict or interpret the composition of (ba,sr)so4 solid-solutions in geothermal scalings? |
publisher |
SpringerOpen |
series |
Geothermal Energy |
issn |
2195-9706 |
publishDate |
2017-06-01 |
description |
Abstract In this study, we report results of the analysis of a particularly interesting scaling sample from the geothermal plant in Neustadt-Glewe in northern Germany, which contained 19% Galena (PbS) and 81% of a heterogeneous assemblage of (Ba,Sr)SO4 crystals with varying compositions, 0.15 < X Ba < 0.53. A main fraction of the sample (~56%) has a barite content of X Ba ≈ 0.32. We try to relate the solid composition of the (Ba,Sr)SO4 solid-solution to the conditions at the geothermal plant concerning temperature, pressure, and solution composition, and discuss it with respect to the challenges in modelling the composition of (Ba,Sr)SO4 solid-solutions on the basis of thermodynamic mixing models. We note that considerable uncertainties are related to the description of (Ba,Sr)SO4 formation by means of thermodynamic models. The scaling composition observed in this study would be in line with endmember solubilities as predicted by the PhreeqC-Pitzer database for 70 °C and an interaction parameter, a 0 = 1.6. According to such a model, the scaling heterogeneity would reflect bimodal precipitation behaviour due to various degrees of depletion of the brine with respect to X(Ba)(aq). Minor fluctuations in X(Ba)(aq): 0.0017 < X(Ba)(aq) < 0.0042 explain the full range of observed solid compositions. The choice especially of the interaction parameter seems to some extent arbitrary. This knowledge gap strongly limits the interpretation of (Ba,Sr)SO4 compositions. Thus, it is not possible to distinguish between kinetic and thermodynamic effects on partitioning or to use the solid-solution composition to draw conclusions about the precipitation conditions (e.g. Temperature). |
url |
http://link.springer.com/article/10.1186/s40517-017-0068-x |
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