Multiphase inverse modeling: An Overview

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Inverse modeling is a technique to derive model-related parameters from a variety of observations made on hydrogeologic systems, from small-scale laboratory experiments to field tests to long-term geothermal reservoir responses. If properly chosen, these observations contain information about the system behavior that is relevant to the performance of a geothermal field. Estimating model-related parameters and reducing their uncertainty is an important step in model development, because errors in the parameters constitute a major source of prediction errors. This paper contains an overview of inverse modeling applications using the ITOUGH2 code, demonstrating the possibilities and limitations of a formalized approach to ... continued below

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8 p.

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Finsterle, S. March 1, 1998.

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Description

Inverse modeling is a technique to derive model-related parameters from a variety of observations made on hydrogeologic systems, from small-scale laboratory experiments to field tests to long-term geothermal reservoir responses. If properly chosen, these observations contain information about the system behavior that is relevant to the performance of a geothermal field. Estimating model-related parameters and reducing their uncertainty is an important step in model development, because errors in the parameters constitute a major source of prediction errors. This paper contains an overview of inverse modeling applications using the ITOUGH2 code, demonstrating the possibilities and limitations of a formalized approach to the parameter estimation problem.

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8 p.

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OSTI as DE98054176

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  • 16. geothermal program review, Berkeley, CA (United States), 1-2 Apr 1998

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  • Other: DE98054176
  • Report No.: LBNL--41638
  • Report No.: CONF-980441--
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 674742
  • Archival Resource Key: ark:/67531/metadc704127

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  • March 1, 1998

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  • Sept. 12, 2015, 6:31 a.m.

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  • Jan. 19, 2018, 2:05 p.m.

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Finsterle, S. Multiphase inverse modeling: An Overview, article, March 1, 1998; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc704127/: accessed November 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.