1887

Abstract

The quality of an inversion depends on the seismic frequency content, the signal-to-noise ratio, the wavelet, and the low frequency model used to incorporate information outside the seismic bandwidth. In order to quantify the benefits of broadband seismic data for inversion, we compare pre-stack inversion results from conventional streamer and variable depth streamer data from NW Australia. The inversion results are combined with a Bayesian fluid classification scheme to map three rock facies and quantify associated uncertainty.

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/content/papers/10.3997/2214-4609.20149832
2012-07-04
2024-04-19
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20149832
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