ESTIMATION OF LOG PROPERTIES USING SEISMIC ATTRIBUTES

Abstract

A systematic reservoir property mapping work now is descried that integrates logs and seismic data using neural network base techniques. Seismic attributes are extracted and analyzed both qualitatively and quantitatively for being the best descriptive reservoir properties. The relationship between the the petrophysical property obtained through logs and seismic attributes is detennined by using various iterations for quality matrix and calibration function. This relationship is further put in next to ma~ping of reservoir mapping guided by seismic attributes. This Geostatistical approaches is applied to Aurora Greek data acquired in North Sea acquired by the "Schlumberger".