海洋地质与第四纪地质2024，Vol.44Issue(6)：46-59,14.DOI:10.16562/j.cnki.0256-1492.2024111901
高分辨率小道距处理技术及属性分析在水合物识别中的应用
Application of high-resolution small group interval processing technology and attribute analysis for hydrate identification
摘要
Abstract
Natural gas hydrate resources are playing more and more important role in energy exploration,and the type characteristics and accumulation patterns of shallow layer natural gas hydrate have attracted more and more attention.Shallow layer gas hydrates generally occur in the near-seabed strata,and require higher resolution in the exploration process.Conventional multi-channel seismic are difficult to meet this requirement due to their low dominant frequency.With the advantages of high resolution and flexible operation mode,the marine high-resolution small group interval seismic exploration technology has been widely used in shallow gas hydrate exploration.Due to the influence of acquisition equipment conditions,the actual high-resolution small group interval data often has the characteristics of low signal-to-noise ratio.Therefore,fine processing and attribute analysis were carried out according to the characteristics of high-resolution small group interval seismic data.First,the key technical methods such as multi-domain noise suppression method based on the f-x(f:frequency;x:the offset)domain and curvelet domain,adaptive ghost suppression based on frequency domain,and cable floating correction based on combination of gather coherence and ghost reflection traveltime were used to obtain seismic profiles with clearer wave group characteristics.The processed profile has the characteristics of high signal-to-noise ratio,good continuity,and clear stratigraphic configuration,which can better reveal the seismic reflection characteristics such as BSR characteristics,blank zone,and gas channel,and lay a foundation for identifying the geological information to locate the shallow gas hydrate occurrence area.Secondly,the seismic attributes such as instantaneous amplitude attribute,instantaneous frequency attribute,and hydrocarbon detection were further analyzed for the finely processed data for the identification of the distribution type and accumulation law of shallow gas hydrate.关键词
高分辨率小道距/浅层天然气水合物/属性分析/噪音压制/虚反射压制/电缆等浮校正Key words
high resolution small group interval/shallow gas hydrate/attribute analysis/noise suppression/ghost suppression/cable floating correction分类
海洋科学引用本文复制引用
颜中辉,杨睿,冯京,刘欣欣,刘鸿,王小杰,姜春涛..高分辨率小道距处理技术及属性分析在水合物识别中的应用[J].海洋地质与第四纪地质,2024,44(6):46-59,14.基金项目
国家自然科学基金"基于多分辨HHT时频分析的南黄海中深层弱地震反射补偿研究"(42106208),"东海陆架盆地长排列地震数据高精度叠前逆时深度偏移成像"(42106207) （42106208）
山东省自然科学面上基金"跨频段融合天然气水合物储层检测研究"(ZR2021MD118) （ZR2021MD118）
自然科学基金地质联合基金"南海北部高富集天然气水合物储层特征与成藏控制机理研究"(U2244224) （U2244224）
中国地质调查项目(DD20230643,DD20191003) （DD20230643,DD20191003）
