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Abstract

With the increasing quality of seismic data, especially in deep-offshore turbiditic environments, seismic attributes<br>are now systematically used to identify reservoirs and characterize their heterogeneities. From pre-stack inversion<br>and training on well dat a, supervised classification techniques provide volume attribut es which attempt to<br>quantitatively reproduce petrophysical properties or geological facies variations within the reservoirs. However the<br>effective integration of those results in the geomodel building is not fully achieved. This is partly due to technical<br>challenges inherent to seismi c data themselve s, such as limited vertical resol ution, noise, and am biguous<br>discrimination between fluid and reservoir properties.... But lack of time, ex perience and specific methodology are<br>also key issues.

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/content/papers/10.3997/2214-4609-pdb.280.iptc15283_noPW
2012-02-07
2024-03-29
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.280.iptc15283_noPW
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