石油物探2026，Vol.65Issue(1)：31-39,9.DOI:10.12431/issn.1000-1441.2024.0308
渤海湾盆地基岩潜山地震数据处理关键技术
Key techniques of seismic data processing for bedrock buried hills in Bohai Bay Basin
摘要
Abstract
The weathering crust at the top of the bedrock buried hills and the internal fault zones in the Bohai Bay Basin represent a new type of hydrocarbon enrichment zone.The bedrock buried hills are lithologically composed of granites and metamorphic rocks.Owing to their chaotic seismic reflections,it is difficult to accurately image the internal structures of these buried hills,for reliable structure interpretation and reservoir prediction,by using conventional processing techniques for sedimentary rocks.Weak signal enhancement,velocity modeling,and metamorphic reservoir imaging are the key problems in data processing.Our study shows that weak signals within metamorphic buried hills can be effectively enhanced through high-dimensional filtering and five-dimensional data regularization.According to the data characteristics and velocity distribution patterns of Paleogene,Neogene,and Archean strata,a segmented velocity modeling method is developed to establish an accurate velocity field for the bedrock buried hills.Reflection angle tomography improves the accuracy of velocity modeling.Q reverse time migration improves the imaging of the top weathering crust,and scattered wave stacking clearly images the fracture-cavity units within the weathering crust and the internal fault system.Field data processing results show that the proposed methods significantly improve the imaging quality of buried hill interiors and thus provide effective technical means for the exploration of buried-hill reservoirs in similar areas.关键词
基岩潜山/变质岩/速度建模/散射波成像/渤海湾盆地Key words
bedrock buried hill/metamorphic rock/velocity modeling/scattered wave imaging/Bohai Bay Basin分类
能源科技引用本文复制引用
袁刚,王立歆,闫艳琴..渤海湾盆地基岩潜山地震数据处理关键技术[J].石油物探,2026,65(1):31-39,9.基金项目
中国石油化工股份有限公司科技部项目"东部断陷盆地邻源地质体地球物理处理与解释攻关"(P24138)资助.This research is financially supported by the Project of the Ministry of Science and Technology of SINOPEC(Grant No.P24138). （P24138）
