44th Stanford University Workshop on Geothermal Reservoir Engineering, California, United States Of America, 11 - 13 February 2019, pp.1-7
Understanding of fracture network and fracture characteristic properties is essential for an effective geothermal reservoir management.
Discrete Fracture Network (DFN) is one of the widely used approach to characterize fractured reservoirs. DFN modeling approach uses
fracture geometry, conductivity and connectivity to create a fracture network. In this study, DFN modeling is used to characterize Alaşehir
geothermal reservoir, which consists from heavily fractured marble and schist. Fracture parameters such as fracture permeability, aperture,
intensity and fracture radius are conditioned for model calibration. Most of the required fracture parameters are retrieved from different
data sources. Stochastic correlations related with known parameters are used to estimate unavailable parameters. The dynamic model
results are verified with pressure transient buildup tests conducted in the field. Upscaled fracture properties are in accord with well test
analysis and tracer test results. DFN model shows that all wells are interconnected by strong fracture network. Fracture network is
validated with a tracer test and reservoir monitoring in the field.