Quantification of sand fraction from seismic attributes using Neuro-Fuzzy approach
نویسندگان
چکیده
منابع مشابه
Quantification of sand fraction from seismic attributes using Neuro-Fuzzy approach
In this paper, we illustrate the modeling of a reservoir property (sand fraction) from seismic attributes namely seismic impedance, seismic amplitude, and instantaneous frequency using Neuro-Fuzzy (NF) approach. Input dataset includes 3D post-stacked seismic attributes and six well logs acquired from a hydrocarbon field located in the western coast of India. Presence of thin sand and shale laye...
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The goal of this paper is the blind prediction of reservoir property from seismic attributes for well tops guided zones. Diverse variation in the reservoir properties, vertically and laterally, shows the nonlinear and complex nature of the reservoir system. In this context, use of a single network for the prediction of reservoir characteristic for a complete well may not be good in achieving ta...
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ژورنال
عنوان ژورنال: Journal of Applied Geophysics
سال: 2014
ISSN: 0926-9851
DOI: 10.1016/j.jappgeo.2014.10.005