The Leikoupo Formation in the Baimamiao area in southwestern Sichuan is in the early stage of exploration, with few wells drilled in the area and great natural gas exploration potential. Affected by the early Indosinian movement, Leikoupo 4³ Sub-member was eroded to varying degrees, and the algal dolomite gradually thinned from the Longmen Piedmont to the basin. Aiming at the problems of few drilling, strong reservoir heterogeneity, and difficulty of thin algal dolomite prediction, Firstly, through fine calibration of single well synthetic records, the seismic response characteristics corresponding to different algal dolomite thickness are analyzed, and the qualitative prediction of algal dolomite is carried out by using multi-attribute optimization. Then, based on the sensitivity curve analysis, the resistivity curve can distinguish the algal dolomite from other lithology, The pseudo-wave impedance curve that can reflect the changes in lithology is reconstructed, and the well-constrained seismic meme inversion is used to quantitatively predict the thickness of algae dolomite. Algal dolomite prediction results match well with geological laws and actual drilling results, which confirms the effectiveness of this set of research methods in predicting thin algal dolomite. At the same time, the prediction results obtained by different methods confirm each other, which provides guidance for further oil and gas exploration of weathered crust algal dolomite reservoir at the top of Leikoupo Formation in Southwest Sichuan.