Characterizing Fractures in Geysers Geothermal Field by Micro-seismic Data, Using Soft Computing, Fractals, and Shear Wave Anisotropy
This is a joint technology application collaborative project between the University of Southern California (USC), Geysers Power Company, “Calpine”, and Lawrence Berkeley National Laboratory (LBNL), to develop improved methods for better characterization of fractures in an enhanced geothermal system (EGS). The ultimate objective of the project is to develop new methodologies to characterize the northwestern part of the Geysers geothermal reservoir (Sonoma County, California), gaining better knowledge of their porosity, permeability, fracture size, fracture spacing, reservoir discontinuities (leaky barriers) and impermeable boundaries. This will be accomplished by creating a 3-D seismic velocity model of the field using the micro-seismic data, collected under another DOE-funded project. We will exploit the anisotropic and fractal nature of the rocks in order to better understand the fracturing system. We will use soft computing to process and analyze the passive seismic data.
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