• 责任者：Zhang Lu (College of Earth Resources and Information ; China Petroleum University ; Dongying 257061 ; China) ; Yin Xingyao
• 刊名：Computing Techniques for Geophysical and Geochemical Exploration
• 出版年：2009
• 卷期：31(4)
• 关键词：地震属性 ; seismic attributes ; 冲积扇 ; alluvial fans
• 页码：p.361-368
• 图表：10 illus., 1 table, 13 refs.
• 分类号：1600
• issnNo：ISSN1001-1749
• isbnNo：CN51-1242/P

///In this paper, the authors try to use wavelet transform to extract the singularity attribute from seismic data, divide the stratum gyration and detect the deposition boundary of sand-conglomerate fan-bodies in the steep-slope belt of continental fault basin. The authors tested this method by applying it to a real project, where the exterior geometrical shape and inner depositional texture are clearly identified. Therefore, this method will benefit the further fine interpretation of the glutenite fan and the prediction of the seismic reservoir.