Abstract：In recent years, wide-azimuth, broadband, and high-density (WBH) seismic exploration technology has become an effective technical means to achieve fine hydrocarbon exploration. As the Putaohua reservoir in the northern Songliao Basin has entered the stage of fine exploration, the identification of micro faults and the accurate hydrocarbon prediction are the key to increasing reserves and production in this area. For higher detection accuracy of faults and hydrocarbon, this paper studies fault detection and hydrocarbon prediction on the basis of WBH seismic data in the Putaohua reservoir of the Well L45 area in the northern Songliao Basin. Specifically, upon the comparative analysis of WBH seismic data and conventional seismic data, we use the characteristic structure-guided filtering and intelligent detection technology of the GeoEast interpretation system for micro fault identification and employ dominant azimuth technology for hydrocarbon detection. The research and analysis show that WBH seismic data have a higher resolution and signal-to-noise ratio (SNR), which is more conducive to fine hydrocarbon exploration. Structure-guided filtering and intelligent detection technology are effective technical means to identify micro faults, and the dominant azimuth technology can better highlight the response characteristics of hydrocarbon by making full use of the broadband and wide-azimuth characteristics of WBH seismic data. The research results render a new technical idea for the application of WBH seismic data, guide the fine structure interpretation and favorable area evaluation, and provide a basis for the subsequent well location deployment in the area.
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