In southern Sichuan

thousands of shale gas wells have been drilled

generating a vast amount of high-dimensional data during geological evaluation

drilling

and production processes. Predicting reserve recovery ratios through data exploration and analysis is essential for guiding the exploration and development of shale gas resources. To achieve this goal

a novel approach is introduced

which couples principal component analysis（PCA） and orthogonal partial least square（OPLS） analysis

enabling rapid and accurate prediction of reserve production degree. The new method is put to the test using Zhaotong shale gas well samples to evaluate its effectiveness in predicting reserve recovery ratios. The results show that the average accuracy of reserve recovery ratio prediction using PCA-OPLS method surpasses the anticipated result

that this algorithm can swiftly and precisely predict recovery ratios. With its advantages of simplicity

high accuracy

and promising application prospects

this method holds great potential for efficiently evaluating the production and recovery ratios of shale gas reserves.