iGeoT v1.0: Automatic Parameter Estimation for Multicomponent Geothermometry, User's Guide
Abstract
GeoT implements the multicomponent geothermometry method developed by Reed and Spycher [1984] into a standalone computer program to ease the application of this method and to improve the prediction of geothermal reservoir temperatures using full and integrated chemical analyses of geothermal fluids. Reservoir temperatures are estimated from statistical analyses of mineral saturation indices computed as a function of temperature. The reconstruction of the deep geothermal fluid compositions, and geothermometry computations, are all implemented into the same computer program, allowing unknown or poorly constrained input parameters to be estimated by numerical optimization. This integrated geothermometry approach presents advantages over classical geothermometers for fluids that have not fully equilibrated with reservoir minerals and/or that have been subject to processes such as dilution and gas loss. This manual contains installation instructions for iGeoT, and briefly describes the input formats needed to run iGeoT in Automatic or Expert Mode. An example is also provided to demonstrate the use of iGeoT.
 Authors:
 Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Geosciences Division
 Publication Date:
 Research Org.:
 Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
 Sponsoring Org.:
 USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (EE4G)
 OSTI Identifier:
 1339970
 Report Number(s):
 LBNL1005841
ir:1005842
 DOE Contract Number:
 AC0205CH11231
 Resource Type:
 Technical Report
 Country of Publication:
 United States
 Language:
 English
 Subject:
 58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING
Citation Formats
Spycher, Nicolas, and Finsterle, Stefan. iGeoT v1.0: Automatic Parameter Estimation for Multicomponent Geothermometry, User's Guide. United States: N. p., 2016.
Web. doi:10.2172/1339970.
Spycher, Nicolas, & Finsterle, Stefan. iGeoT v1.0: Automatic Parameter Estimation for Multicomponent Geothermometry, User's Guide. United States. doi:10.2172/1339970.
Spycher, Nicolas, and Finsterle, Stefan. 2016.
"iGeoT v1.0: Automatic Parameter Estimation for Multicomponent Geothermometry, User's Guide". United States.
doi:10.2172/1339970. https://www.osti.gov/servlets/purl/1339970.
@article{osti_1339970,
title = {iGeoT v1.0: Automatic Parameter Estimation for Multicomponent Geothermometry, User's Guide},
author = {Spycher, Nicolas and Finsterle, Stefan},
abstractNote = {GeoT implements the multicomponent geothermometry method developed by Reed and Spycher [1984] into a standalone computer program to ease the application of this method and to improve the prediction of geothermal reservoir temperatures using full and integrated chemical analyses of geothermal fluids. Reservoir temperatures are estimated from statistical analyses of mineral saturation indices computed as a function of temperature. The reconstruction of the deep geothermal fluid compositions, and geothermometry computations, are all implemented into the same computer program, allowing unknown or poorly constrained input parameters to be estimated by numerical optimization. This integrated geothermometry approach presents advantages over classical geothermometers for fluids that have not fully equilibrated with reservoir minerals and/or that have been subject to processes such as dilution and gas loss. This manual contains installation instructions for iGeoT, and briefly describes the input formats needed to run iGeoT in Automatic or Expert Mode. An example is also provided to demonstrate the use of iGeoT.},
doi = {10.2172/1339970},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7
}

GeoT (Spycher et al., 2011) was developed by automating the multicomponent chemical geothermometry method of Reed and Spycher (1984). As needed, this program can be integrated with parameter estimation software. Without optimization, GeoT is useful for fast geothermometry computations with fluid compositions from single locations, and for independently processing fluids from multiple locations in one single program run.

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