Title:

Adaptive Viscoelastic-Waveform Inversion Using the Local Wavelet Transform for Geothermal Reservoir Characterization at the Blue Mountain Geothermal Field

Authors:

Wenyong PAN and Lianjie HUANG

Key Words:

Attenuation, Blue Mountain, geothermal reservoir, viscoelastic-waveform inversion, wavelet tranform

Conference:

Stanford Geothermal Workshop

Year:

2019

Session:

Geophysics

Language:

English

Paper Number:

Pan1

File Size:

863 KB

View File:

Abstract:

Seismic attenuation is a key parameter for geothermal reservoir characterization. Viscoelastic-waveform inversion has potential to reconstruct both subsurface velocities and attenuation coefficients. However, the strong trade-offs between velocity and attenuation parameters make it difficult to invert for the attenuation parameters reliably. We develop a novel adaptive viscoelastic-waveform inversion method based on the local wavelet transform for velocity and attenuation inversion. We first use a multi-scale elastic-waveform inversion scheme to invert for the velocity models, and then employ a spectral amplitude-ratio misfit function based on the local wavelet transform of seismic traces for attenuation inversion. We verify the method using synthetic seismic data, and validate it using a field seismic dataset acquired at the Blue Mountain geothermal field. Our preliminary results demonstrate that the regions with high-attenuation coefficients may be associated with fluid-filled fracture/fault zones in geothermal reservoirs.


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