Skip navigation

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:https://doi.org/10.1016/j.energy.2017.04.091)

[img]
Preview
PDF (Author Accepted Manuscript)
17071 CHEN_Deep_Geothermal_Reservoir_2017.pdf - Accepted Version

Download (1MB) | Preview

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 / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
Faculty of Engineering & Science > Mathematical Modelling for Engineering Research Theme
Last Modified: 22 Apr 2019 01:38
URI: http://gala.gre.ac.uk/id/eprint/17071

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics