--> Prediction of Residual Oil Saturation by Using the Ratio of Amplitude Attributes of Time-Lapse Seismic Data
[First Hit]

AAPG ACE 2018

Datapages, Inc.Print this page

Prediction of Residual Oil Saturation by Using the Ratio of Amplitude Attributes of Time-Lapse Previous HitSeismicNext Hit Data

Abstract

Subtraction of baseline and Previous HitmonitoringNext Hit Previous HitseismicNext Hit data is a common step to highlight Previous HitreservoirNext Hit changes in time-lapse Previous HitseismicNext Hit interpretation. However, ambiguity exists in the interpretation of the amplitude difference, which is controlled by fluid change and Previous HitreservoirNext Hit thickness. To estimate residual oil saturation quantitatively, we propose a time-lapse Previous HitseismicNext Hit interpretation method that utilizes the ratio of amplitude attributes extracted from baseline and Previous HitmonitoringNext Hit Previous HitseismicNext Hit data. The relationship between impedance change and the ratio of the baseline and Previous HitmonitoringNext Hit amplitude attributes is determined to avoid the influence of Previous HitreservoirNext Hit thickness. Subsequently, the fluid saturation is calculated from the impedance change by using a proper petrophysical relationship based on time average equation. The new method is tested on a real time-lapse Previous HitseismicNext Hit dataset from a water-flooded Previous HitreservoirNext Hit in the deep-water area of West Africa. The water-flooded area determined from the amplitude difference does not completely match the production logs because of the influence of variations in Previous HitreservoirNext Hit thickness. However, the residual oil distribution calculated with the proposed method matches the production logs well. The connectivity of sandstone bodies is also evaluated based on an integrated interpretation of estimated oil saturation. With its simple principle and easy accessibility, the proposed method improves the accuracy of time-lapse Previous HitseismicNext Hit data interpretation in water-flooded oil reservoirs. Furthermore, the quantitative interpretation of fluid change enables the time-lapse Previous HitseismicNext Hit technology to guide Previous HitreservoirTop development directly.