Self-similar segmentation and multifractality of post-stack seismic data
Self-similar segmentation and multifractality of post-stack seismic data作者机构:Department of Petroleum EngineeringScience and Research BranchIslamic Azad UniversityTehranIran Department of Mining and Metallurgy EngineeringAmirkabir University of Technology(Polytechnic of Tehran)TehranIran Shahrood University of TechnologyFaculty of MiningPetroleum and Geophysics EngineeringShahroodIran
出 版 物:《Petroleum Exploration and Development》 (石油勘探与开发(英文版))
年 卷 期:2020年第47卷第4期
页 面:781-790页
核心收录:
学科分类:081801[工学-矿产普查与勘探] 081802[工学-地球探测与信息技术] 0709[理学-地质学] 0819[工学-矿业工程] 0808[工学-电气工程] 08[工学] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 0807[工学-动力工程及工程热物理] 0815[工学-水利工程] 0816[工学-测绘科学与技术] 0813[工学-建筑学] 0814[工学-土木工程]
主 题:post-stack seismic data multifractality Hurst exponent self-similar segmentation layering detection
摘 要:Layering detection is an important step in petroleum *** series of post-stack seismic data and wire-line log data belong to subsurface *** exhibit multifractal properties with complex patterns because of the heterogeneity and different genetic properties in the earth *** a multifractal configuration,any piece of a series has a distinct Hurst exponent that reflects its nature and can be used for zone *** series are post-stack seismic traces and wire-line log data near the ***-similar Autoregressive Exogenous(SAE)model is a modified method which can place self-similar post-stack seismic and wire-line log segments across layers with the same *** results satisfy the capability of layering identification from seismic data by SAE model.