Research on Prediction Analysis of Buried-Hill Reservoirs Based on Optimized Narrow-Azimuth Seismic Data

ZOU Yaming; LIU Daoli; XU Leyi; CHEN Shuangquan; WANG Guoquan; YAO Wenhan

doi:10.13512/j.hndz.2026.01.16

Abstract：Abstrct:The deep-water area of the Baiyun Sag in the northern South China Sea exhibits significant exploration po-tential.However,exploration in the shallow to middle strata has been limited by a relatively narrow target system and the depletion of available traps in these layers.Therefore,deep-water exploration in this region must extend in-to deeper strata.Early seismic data in this area were primarily acquired using narrow-azimuth towed-streamer(NATS)acquisition geometry,which restrict buried-hill prediction due to limited azimuthal coverage.To address this limitation,this study innovatively employs ES360 imaging processing technology to reprocess the existing NATS seismic data.This processing generates angle-domain wide-azimuth(WAZ)gather data,effectively compen-sating for the azimuthal information gap inherent in the original NATS data.Consequently,this enhanced dataset enables robust pre-stack fracture characterization of reservoirs.Furthermore,multi-attribute analysis was conduct-ed on the newly derived post-stack seismic volume.These post-stack attributes were then integrated with the pre-stack fracture characterization results through a multi-scale fusion approach.This integration facilitated the devel-opment of a hierarchical fracture system characterization technique.This integrated methodology was successfully applied to a targeted buried-hill prospect(Area L)within the deep-water Baiyun Sag,enabling effective prediction of buried-hill reservoir distribution and the identification of zones with high-quality fractured reservoir development based on the originally acquired offshore NATS seismic data.Moreover,the methodology is adaptable and can be extended to the exploration and development of similar buried-hill oil and gas reservoirs.