In order to quickly ,accurately and effectually evaluate the
reservoir sensitivity ,on the base of the data of core analysis ,the
method of well-logging was put forward to evaluate the reservoir
sensitivity. The eleven parameters have been obtained from well
logging information such as quartz ,feldspar ,rock fregments ,clay
volume , montmorillonite , illite , kaolinite , medium granularity
value , general poro-perm parameter , porosity , permeability and
etc1They can be received from well-logging data after these
parameters are Scaled by core data. On the base of these
parameters ,the relativity analysis of reservoir sensitivity and its
factors were studied ,then the theoretical compositor table and the
method of relativity regression coefficient were put forward to
predict reservoir sensitivity in the means of well logging. The
method was put into use to evaluate reservoir sensitivity in the
studied oilfield ,and the processing results showed that the fluid
velocity sensitivity , salt water sensitivity ,fresh water sensitivity ,
alkali sensitivity and acid sensitivity were consistent with the core
fluid sensitivity test results , which came from well-logging
method. It is a great aid to mud content design ,industrial net pay
finding ,and reservoir protection in time.