Akademik Veri Yönetim Sistemi
48th Stanford Workshop on Geothermal Reservoir Engineering, California, Amerika Birleşik Devletleri, 6 - 08 Şubat 2023, cilt.224, ss.1-7
The predictive modeling of flow and transport processes in geothermal reservoirs is challenging due to the complex nature of fracture
networks. Tracer tests are traditionally used to characterize such reservoirs for sustainable injection and production strategies.
Interpretation of tracer tests for acquiring correct flow parameters is usually carried out using oversimplified mathematical models. The
analytical approaches particularly developed for modeling tracer tests in porous and fractured media provide uniform flow parameters
that are not suitable for detailed geothermal reservoir characterization due to anisotropy and macro-dispersion. Moreover, numerical
dispersion parameters that represent the macro-dispersion of a tracer are usually not pertinent. In this study, a tracer test is analyzed to
characterize and predict the thermal breakthrough time of a geothermal reservoir located in western Turkey. A new analytical model
particularly developed for the analysis of tracer tests conducted in porous and fractured reservoirs is coupled with Monte-Carlo simulations
acquiring effective parameters from well-to-well data to obtain fracture aperture values in an anisotropic fractured medium. Subsequently,
fracture aperture values are evaluated by analyzing mud-loss data provided by well-logs and compared with the analytical model results.
The objective is to estimate the fracture aperture size and to inspect the relationship between anisotropic flow, fracture ap erture orientation,
and longitudinal dispersivity in a deep geothermal reservoir. Results demonstrate that the anisotropic flow paths have an imp act on the
macro-dispersivity both in longitudinal and transversal directions.