A Predictive Model For Low-Enthalpy Geothermal Systems

Conference paper (2019)

Authors

S. Saeid Reservoir Engineering - CEG
Rafid Al-Khoury Applied Mechanics - CEG
D.F. Bruhn Reservoir Engineering - CEG , Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
Research Group
Reservoir Engineering (CEG) (TU Delft)
Geothermal energy Predictive model Low-enthalpy deep hydrothermal system Geothermal doublet design Prototype design
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Published Date

2019

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Engineering

Research Group

Reservoir Engineering

Abstract

Predicting the lifetime of a reservoir is very important for planning and designing a geothermal system. Knowing the system lifetime can help in estimating how economic and viable the system is. It is therefore useful to have a reliable estimate of the system lifetime before starting a detailed study and modelling. This contribution introduces a predictive design model for deep low-enthalpy hydrothermal systems. The model predicts, empirically, the lifetime of a hydrothermal system as a function of reservoir porosity, discharge rate, well spacing, average initial temperature of the reservoir, injection temperature, and cut-off temperature.
In this work, the finite element method was utilized to conduct an extensive parametric analysis on a wide range of physical parameters and operational scenarios for typical hydrothermal regional geometries, from which empirical mathematical relationships were derived to formulate the model.
The proposed model provides geothermal engineers and decision makers with a simple calculation tool (a single equation) capable of giving them a preliminary conjecture about the lifetime of deep low-enthalpy hydrothermal systems.

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