1887

Abstract

Both categorical lithology and fluid classes and continuous rock properties can be predicted from seismic amplitude data given a rock physics model. However, the uncertainty of such predictions may be high, and the uncertainty should therefore always be assessed. We here present a fast Bayesian inversion method for lithology, fluid and rock property prediction from prestack seismic data. The main objective of the inversion is to find the probabilities for different lithology-fluid classes from seismic data and geological knowledge. The method combines stochastic rock physics relations between the elastic parameters and the different lithology-fluid classes with the results from a fast Bayesian seismic simultaneous inversion from seismic data to elastic parameters. The method is illustrated on a prospect offshore Norway.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20147804
2008-06-09
2024-03-29
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20147804
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error