Prediction of reservoir sensitivity with well logging data in Dagang Oilfield

The clay mineral type and content could have a strong effect on the reservoir sensitivity. The first thing for using the logging data to predict reservoir sensitivity should be to process the basic logging data by comprehensive methods and to establish reservoir sensitivity parameter model. According to the cases in Dagang Oilfield, the natural γ spectroscopy is used to identify the type and content of clays and other parameters are gotten by regression. The relationship between parameters and five-sensitivities is gotten by single-regression analysis. The method is testified and an efficient result is obtained in Dagang Oilfield.