Aliyu, Musa D. and Chen, Hua-Peng (2017) Optimum control parameters and long-term productivity of geothermal reservoirs using coupled thermo-hydraulic process modelling. Renewable Energy, 112. pp. 151-165. ISSN 0960-1481 (Print), 1879-0682 (Online) (doi:10.1016/j.renene.2017.05.032)

Preview	PDF (Author Accepted Manuscript) 17338 CHEN_Optimum_Control_Parameters_2017.pdf - Accepted Version Download (1MB) | Preview
	PDF (Email of Acceptance) 17338 CHEN_Acceptance_Email_2017.pdf - Additional Metadata Restricted to Repository staff only Download (114kB) | Request a copy

Abstract

Knowing the long-term performance of geothermal energy extraction is crucial to decision-makers and reservoir engineers for optimal management and sustainable utilisation. This article presents a three dimensional, numerical model of coupled thermo-hydraulic processes, in a deep heterogeneous geothermal reservoir overlain and underlain by impermeable layers, with discrete fracture. The finite element method is employed in modelling the reservoir, after conducting a verification study to test the capability of the solver and the results obtained are in agreement with the existing models. The model is then used to investigate the responses of human control parameters (injection flow rate, fluid injection temperature, and lateral well spacing) on reservoir productivity, using different operation scenarios. The injection flow rate is found to be more efficient, concerning reservoir productivity, than the other two parameters. To this end, the study concludes that, by varying some parameters in the subsurface, reservoir productivity can be optimised efficiently. The numerical model developed provides in-depth insight to stakeholders and reservoir engineers concerning the essential parameters to control during exploration and exploitation.

Item Type:	Article
Uncontrolled Keywords:	Geothermal energy extraction; Coupled thermo-hydraulic; Discrete fracture; Finite element method; Parameters analyses
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)
Last Modified:	14 May 2019 01:38
URI:	http://gala.gre.ac.uk/id/eprint/17338

Actions (login required)

View Item

Downloads