China's deep oil and gas resources have high potential and will be the target of oil and gas exploration and development in the future.Among them,the marine deep carbonate rocks in the Tarim,Sichuan,and Ordos basins are the most important oil and gas exploration targets.The four types of special reservoirs,namely karst fracture-caves,reef-bank pores,dolomite pores,and fractures,generally exhibit the following characteristics:complex structural traps,reservoir diversity,complex surfaces,large burial depths,high temperature and pressure,complex structures,small scale,and heterogeneous exploration targets.Consequently,during seismic exploration,complex seismic wavefields are obtained,with weak seismic signals and low signal-to-noise ratio and resolution.This makes high-precision seismic imaging and reservoir prediction difficult.Conventional geophysical exploration techniques,that rely on a single acquisition or processing interpretation technique,can hardly be carried out effectively.Therefore,seismic acquisition,processing,and interpretation need to be integrated.After high-quality seismic acquisition under complex surface and geological conditions,seismic imaging processing based on depth-domain RTM imaging was performed,and prestack and poststack seismic attributes were jointly utilized to research the sedimentary facies zones,perform reservoir and fluid prediction,and carry out a fine delineation of multi-scale reservoirs.This way,the description of complex geologic bodies and detection of targets could be achieved.In this study,we focused on an integrated seismic technology relying on prestack RTM imaging in the depth domain and seismic prestack inversion as the core,including seismic acquisition with “small trace distance,small bin,wide azimuth,wide band,high coverage,high shot and trace density”,velocity modeling and prestack depth imaging with a “small smooth surface”,and prestack azimuthal anisotropy fracture detection using five-dimensional data and pre-stack inversion.Results of an application using real data confirmed the effectiveness of the proposed technology.A forward simulation and a rock physical analysis were implemented based on a geological model,and suitable methods and parameters were optimized through model and field tests to achieve a balance between the application and production benefits.