Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/77523
Type: Conference paper
Title: Application of connectivity measures in enhanced geothermal systems
Author: Fadakar Alghalandis, Y.
Dowd, P.
Xu, C.
Citation: Proceedings of the 2012 Australian Geothermal Energy Conference, 2012 / C. Huddlestone-Holmes, E. Gerner (eds.): pp. 62-66
Publisher: Geoscience Australia
Publisher Place: Australia
Issue Date: 2012
Series/Report no.: Geoscience Australia Record; 2012/73
ISBN: 9781922201065
Conference Name: Australian Geothermal Energy Conference (5th : 2012 : Sydney, Australia)
Statement of
Responsibility: 
Younes Fadakar-Alghalandis, Peter A. Dowd, Chaoshui Xu
Abstract: The three major determinant factors for the productivity of hot dry rock geothermal reservoirs are fractures, fluid and heat. Fractures create an interconnected network that provides the pathways for fluid flow, which in turn facilitates heat exchange from the rock masses. The connection between fractures is therefore a critical characteristic of a successful heat producing geothermal system. Connectivity analysis is also an important component in the design, assessment and development of fracture-based reservoirs particularly enhanced geothermal systems. In this paper, we evaluate the application of two connectivity measures: the connectivity field and the connectivity index, of a fracture network. Both measures are well suited to stochastic modelling, which provides a means of incorporating the uncertainty due to lack of data. We demonstrate the effectiveness of both measures in the determination of preferential pathways through the fracture network. We also demonstrate the use of the connectivity field in determining the optimal location of an injection or production well so as to maximise the reservoir performance. The two measures show good correlation with other established connectivity measures such as Xf and P21 (P32). They are also shown to be useful in the evaluation of percolation state of a fractured rock mass.
Keywords: Connectivity Index; Connectivity Field; Ranked Flow Pathways; Optimal Drilling Locations
Description: GeoCat; 74874
Rights: © Commonwealth of Australia (Geoscience Australia) 2012 With the exception of the Commonwealth Coat of Arms and where otherwise noted, all material in this publication is provided under a Creative Commons Attribution 3.0 Australia Licence. (http://www.creativecommons.org/licenses/by/3.0/au/)
RMID: 0020127046
Published version: http://www.ga.gov.au/servlet/BigObjFileManager?bigobjid=GA21231
Appears in Collections:Civil and Environmental Engineering publications

Files in This Item:
File Description SizeFormat 
hdl_77523.pdfPublished version1.17 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.