What is it about?
We device a general framework for deriving general reservoir parameters from seismic amplitude data on paralell machines. We account for spatial dependencies an any type of nonlinearity in the rockphysics model. Thus we provide a methodology which can be used as a general solver. The example is related to inversion of 4D data.
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Why is it important?
Laying the methodological framework for fast solutions of the general problem on paralell machines opens many interseting perspectives
Perspectives
It is important to derive methodology for solutions of the general problem which are not restricted to spesific rock physics models, this opens up the possiblity for collaboration between different fields of expertice.
Odd Kolbjørnsen
Lundin-Norway
Read the Original
This page is a summary of: A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties, Geophysics, May 2016, Society of Exploration Geophysicists,
DOI: 10.1190/geo2015-0314.1.
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