The article discusses how to predict reservoir parameters like porosity and permeability, which are crucial for evaluating oil fields. The researchers used stepwise regression analysis to estimate these parameters based on well logging or seismic data. This method establishes linear relationships between measured data and rock properties, simplifying the prediction process. By optimizing the regression equation, the researchers successfully predicted rock properties with high accuracy and stability. Stepwise regression analysis effectively addresses practical challenges in well logging exploration, making it a key method for quantitatively predicting reservoir porosity.