Using Dynamic Monitoring Data to Calculate Remaining Oil Saturation

DOI: 10.14800/IOGR.1146

Abstract

The dynamic remaining oil saturation of each oil layer is based on the two phase (oil/water) percolation theory. The correlation equation was established by using dynamic monitoring data and regression analysis. The dynamic parameters include the various layer water cut, interstitial oil saturation, current water saturation, etc. The accuracy and feasibility of this research results have been verified by means of numerical reservoir simulation, carbon-oxygen-log results and neutron-lifetime-log data. As the dynamic monitoring data reflect current reservoir productivity, so the remaining oil saturation (ROS) can be the real-time dynamic data. The value and distributing of ROS can be obtained whenever necessary. The field example proved the accuracy of the proposed method in X oilfield. The calculated ROS can provide quantitative evidence for the dynamic adjustment and development strategy for oilfield.