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Updated: Aug 13, 2025

A Method for Studying the Temperature Dependence of Dynamic Fracture and Fragmentation
Published on: June 28, 2015
Velocity-dependent heat transfer controls temperature in fracture networks
Thomas Heinze1, Nicola Pastore2
1Department of Hydrogeochemistry and Hydrogeology; Institute of Geology, Mineralogy and Geophysics, Ruhr-University Bochum, Universitaetsstr. 150, 44801, Bochum, Germany. thomas.heinze@rub.de.
This study reveals that heat transfer coefficients in subsurface fracture networks are highly variable. Laboratory experiments on single fractures offer reliable estimates dependent on fluid flow rate for geothermal applications.
Area of Science:
- Geothermal Energy
- Subsurface Heat Transfer
- Fracture Network Hydrogeology
Background:
- Heat transfer in subsurface environments, particularly geothermal systems, is governed by Newton's law of cooling.
- Accurate parameterization of the heat transfer coefficient within complex fracture networks remains a significant challenge.
- Understanding heat transfer is vital for the design and management of engineered and natural geothermal reservoirs.
Purpose of the Study:
- To investigate the heterogeneity of the heat transfer coefficient within fracture networks.
- To assess the utility of laboratory single fracture experiments in estimating heat transfer coefficients.
- To analyze heat transfer dynamics at the individual fracture level.
Main Methods:
- Experimental investigation of heat transfer coefficients in single fractures under varying flow rates.
- Numerical simulations to complement experimental data and analyze heat transfer distributions.
- Analysis of heat transfer characteristics at the scale of individual fractures.
Main Results:
- The heat transfer coefficient exhibits strong heterogeneity within subsurface fracture networks.
- Laboratory experiments on single fractures provide reasonable estimates of the heat transfer coefficient, dependent on flow rate.
- Individual fracture characteristics significantly influence overall heat transfer in the network.
Conclusions:
- The findings improve temperature predictions in geothermal systems by accounting for fracture-scale heat transfer.
- This research enables more sustainable management and design of geothermal reservoirs by considering individual fracture contributions.
- The study highlights the importance of experimental data from single fractures for characterizing complex subsurface heat flow.
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