Non-Linearity in Multi-Attribute Analysis

Julio Márquez
Julio Márquez @juliomrqz
Through time, deterministic methods have been used for prediction of reservoir properties that are used to convert seismic data to the desired reservoir property.
Non-Linearity in Multi-Attribute Analysis

Through time, deterministic methods have been used for the prediction of reservoir properties. A relationship that involves the observed seismic data and the reservoir parameter of interest is determined. This transformation is used to convert seismic data to the desired reservoir property.

In the last years, non-linear multivariate determinant analysis using neural networks between multiple seismic attributes and the measured gamma-ray values has been used to produce inversion volumes of the desired log type. This kind of approach has been very useful in gas exploration and enhanced recovery.

This work discusses the computation behind the reservoir properties.

The mathematical relationship between pairs of variables derived from well logs and then transforming the 3D seismic attributes volumes into the desired reservoir parameters (Chopra, Alexeev, & Pruden, 2004).

for full SEG text: http://dx.doi.org/10.1190/1.1851156

Julio Márquez
I'm Julio Marquez, Software Engineer and Amateur Designer. I work as a Full Stack Developer at Toptal and Consultant at Aceforth. Previously Co-Founder and Full-Stack Developer at Bazzite. I'm in love with Open Source, a good Cup of Coffee and design.
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