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Abstract

Summary

The ability of the surface wave methods to estimate not only near-surface properties but also implicitly characterize the surface waves, which can be used to improve the ground-roll noise attenuation step in seismic data processing, makes this type of method almost a natural option for time-lapse land surveys. As part of a time-lapse project monitoring CO2 movement within a reservoir in the Powder River Basin in southeastern Montana, USA, we used a surface wave method to estimate time-lapse near-surface velocities from 2-D crooked surveys acquired using three-component seismic nodes and an accelerated-weight-drop seismic source. As was expected, the baseline and monitoring surveys were affected by high levels of coherent and incoherent noise typical of active oil fields. Using a time-offset windowing scheme on individual surface wave events, we were able to focus the ground roll energy recorded in our sparse and irregular acquisition array and estimate near-surface velocity models. We compared these models with near-surface velocity models derived from first-break traveltime tomography. Despite the different resolution of the models, it was possible to confirm the good quality of the velocity models estimated with the surface wave method and identify the geologic formations in the near-surface of the study area.

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/content/papers/10.3997/2214-4609.201702074
2017-09-03
2024-04-26

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201702074
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Estimating Time-lapse Near-surface Velocity Models Using Ground Roll from Coarsely Sampled 2-D Land Crooked Surveys
Conference Proceedings 2017, 1 (2017); https://doi.org/10.3997/2214-4609.201702074
/content/papers/10.3997/2214-4609.201702074
/content/papers/10.3997/2214-4609.201702074
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