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Sensitivity analysis of deep geothermal reservoir: effect of reservoir parameters on production temperature

Sensitivity analysis of deep geothermal reservoir: effect of reservoir parameters on production temperature

Aliyu, Musa D. and Chen, Hua-Peng (2017) Sensitivity analysis of deep geothermal reservoir: effect of reservoir parameters on production temperature. Energy, 129. pp. 101-113. ISSN 0360-5442 (Print), 1873-6785 (Online) (doi:10.1016/j.energy.2017.04.091)

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Abstract

This study aims to guide reservoir engineers/managers in the selection of a combination of parameters from amongst various possible alternatives in developing deep geothermal reservoirs which can meet the desired temperature at the production wellhead for sustainable energy production. The work presents an approach for predicting the long-term performance of a deep geothermal reservoir using multiple combinations of various reservoir parameters. The finite element method and factorial experimental design are applied to forecast which of the parameters has the most influence on long-term reservoir productivity. The solver employed is validated using known analytical solution and experimental measurements with good agreement. After the validation, an investigation is then performed based on the Soultz lower geothermal reservoir. The results showed that fluid injection temperature is the parameter that influences the experiment the most during exploitation involving production temperature, whereas injection pressure rate happens to have a more significant impact on reservoir cooling.

Item Type: Article
Uncontrolled Keywords: Deep geothermal reservoir; Human-controlled parameters; Naturally-occurring parameters; Finite element modelling; Factorial experimental design
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Faculty of Engineering & Science > Mathematical Modelling for Engineering Research Theme
Last Modified: 14 Nov 2017 10:19
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/17071

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