Rapidly predicating the reservoir sensitivity with single correlation and multiple regression analytic method

Sensitivity study is the premise of reservoir damage mechanism analyzing which is extremely significant to optimizing each drilling and development work process, and is equally important to draw up scientific reservoir protection solutions. By discussing various reservoir sensitivity prediction methods developed in recent years, we found that using single correlation analysis and multiple regressions to forecast reservoir sensitivity is a fairly ideal, fast and new method. On the basis of conventional cores analysis and sensibility mineral analysis, we extract useful information relating to various sensitivity factors, and predict the reservoir sensitivity using the new method above mentioned. The accuracy of forecasting results can reach 85%, which basically meet the needs of reservoir sensitivity predicting. Compared with the single method, the predicted results by combining single correlation analysis and multiple regression are obviously improved, so the new method is simple, widely applicable and with explicit physical significance.