Abstract

Accurate imaging of subsurface complex structures with faults is crucial for geothermal exploration because faults are generally the primary conduit of hydrothermal flow. It is very challenging to image geothermal exploration areas because of complex geologic structures with various faults and noisy surface seismic data with strong and coherent ground-roll noise. In addition, fracture zones and most geologic formations behave as anisotropic media for seismic-wave propagation. Properly suppressing ground-roll noise and accounting for subsurface anisotropic properties are essential for high-resolution imaging of subsurface structures and faults for geothermal exploration. We develop a novel wavenumber-adaptive bandpass filter to suppress the ground-roll noise without affecting useful seismic signals. This filter adaptively exploits both characteristics of the lower frequency and the smaller velocity of the ground-roll noise than those of the signals. Consequently, this filter can effectively differentiate the ground-roll noise from the signal. We use our novel filter to attenuate the ground-roll noise in seismic data along five survey lines acquired by the U.S. Navy Geothermal Program Office at Pirouette Mountain and Eleven-Mile Canyon in Nevada, United States. We then apply our novel anisotropic least-squares reverse-time migration algorithm to the resulting data for imaging subsurface structures at the Pirouette Mountain and Eleven-Mile Canyon geothermal exploration areas. The migration method employs an efficient implicit wavefield-separation scheme to reduce image artifacts and improve the image quality. Our results demonstrate that our wavenumber-adaptive bandpass filtering method successfully suppresses the strong and coherent ground-roll noise in the land seismic data, and our anisotropic least-squares reverse-time migration produces high-resolution subsurface images of Pirouette Mountain and Eleven-Mile Canyon, facilitating accurate fault interpretation for geothermal exploration.

Highlights

  • The geothermal exploration areas at Pirouette Mountain and Eleven-Mile Canyon are located near the margins of Dixie Valley in Nevada, United States

  • In 2013, the U.S Navy Geothermal Program Office carried out a seismic reflection survey (Alm et al, 2016) along five lines to evaluate the geothermal potential at Pirouette Mountain and Eleven-Mile Canyon, NV

  • We apply our anisotropic least-squares reverse-time migration algorithm to the seismic data acquired at the Pirouette Mountain and Eleven-Mile Canyon geothermal exploration areas for reliable imaging of the complex subsurface structures with faults

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Summary

INTRODUCTION

The geothermal exploration areas at Pirouette Mountain and Eleven-Mile Canyon are located near the margins of Dixie Valley in Nevada, United States. For imaging complex subsurface structures at Pirouette Mountain and Eleven-Mile Canyon, we first need to properly suppressing ground-roll noise in the acquired seismic data. After suppressing ground-roll noise in the seismic data acquired at Pirouette Mountain and Eleven-Mile Canyon using our novel wavenumber-adaptive bandpass filter, we can use the data to image subsurface structures and faults for geothermal exploration. We apply our anisotropic least-squares reverse-time migration algorithm to the seismic data acquired at the Pirouette Mountain and Eleven-Mile Canyon geothermal exploration areas for reliable imaging of the complex subsurface structures with faults. We use our wavenumber-adaptive bandpass filter to suppress the ground-roll noise of the five 2D lines of surface seismic data acquired at Pirouette Mountain and Eleven-Mile Canyon. We first introduce the methodology of our wavenumber-adaptive bandpass filter and anisotropic least-squares reverse-time migration, present results of ground-roll suppression using our wavenumber-adaptive bandpass filter, give anisotropic LSRTM images with comparison with industrial images and those obtained using anisotropic RTM images, and draw our findings in the Conclusion section

METHODOLOGY
CONCLUSION
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