Abstract: The Tarim Basin,one of China's most significant oil exploration areas,exhibits thick sedimentary rock layers and frequent tectonic movements.These characteristics have led to the formation of abundant source,reservoir,and cap rocks,creating favorable conditions for the generation and storage of resources like petroleum.However,the high topographic relief in the area poses significant challenges to observation system arrangement and acquisition engineering design.Moreover,undulating surfaces and complex subsurface structures affect the propagation of seismic waves,impairing the quality of seismic exploration data and complicating data preprocessing,imaging,and reservoir prediction.Given the data loss of the Tarim block caused by suboptimal data collection,this study conducted high-precision reconstruction of seismic data using the compressed sensing technique,aiming to provide seismic records with high integrity,reliability,and precision for the preprocessing/superimposition phase.Compressed sensing,a novel sampling technique,plays a significant role in data reconstruction.The key to this technique is the adequate sparse representation of seismic data.However,conventional transform methods like Fourier transform and discrete cosine transform(DCT) are merely applicable to simple global structures.Considering the high complexity of the Tarim block data,this study employed the Shearlet transform as the sparse basis function for data reconstruction through compressed sensing.The technology of this study was finally applied to process the actual data of the Tarim Basin,demonstrating high accuracy and applicability for the area.