南海浅层气藏储层特征分析及地震识别技术应用  

Reservoir characteristics and seismic identification techniques for shallow gas reservoirs in the South China Sea

作　　者：裴健翔 郭璃 刘国昌[3] 刘峰 吴启斌 PEI Jianxiang;GUO Li;LIU Guochang;LIU Feng;WU Qibin(CNOOC Hainan Branch,Haikou 570312,China;CNOOC Hainan Energy Co.,Ltd.,Haikou 570312,China;China University of Petroleum(Beijing),Beijing 102249,China)

机构地区：[1]中海石油(中国)有限公司海南分公司,海口570312 [2]中海油海南能源有限公司,海口570312 [3]中国石油大学(北京),北京102249

出　　处：《物探化探计算技术》2025年第2期222-231,共10页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：中海油科技项目(KJZH--2021--0002--00)。

摘　　要：南海浅层气藏作为我国油气勘探的重要研究领域,其储层具有广泛发育、地质成因复杂、储层类型多样的特点。受松散储层低地震速度、强非均质性以及测井难以准确获取储层参数等因素影响,常规地震储层分析方法难以实现有效识别和预测。在叠前时间偏移地震资料基础上,对比不同类型储层地震响应特征,通过地震正演定量分析不同期次砂体叠置对地震反射振幅的影响,采用多地震属性融合的办法对有利储层进行识别和预测。结果表明:含水砂体为第四类AVO(Amplitude Variation with Offset)异常特征,含气砂体为第三类AVO异常特征,叠置砂体的厚度、横向变化及复杂组合形式会影响地震振幅特征,砂体识别需要考虑振幅调谐作用,南海浅层\超浅层含气区利用多属性分析技术进行识别,结果显示与L1井相比,L2井及L3井气藏特征更为明显,本地震综合分析方法对储层的识别和预测结果与实际钻井数据吻合较好,为目标区浅层气藏勘探提供了参考。The thin layer of shallow gas reservoir is widely developed and affected by diagenesis,resulting in the overall low formation velocity.Identifying the gas-bearing sand only based on the strong amplitude phenomenon in the seismic profile is not accurate.The overlapping sand's thickness,lateral change,complex combination form,and amplitude tuning effect will affect the seismic amplitude characteristics.It is difficult to identify shallow or ultra-shallow gas-bearing sand.This paper analyzes and summarizes shallow and ultra-shallow layers'geological,geophysical,and logging characteristics.The seismic response characteristics of the gas-bearing sandstone in the target interval are analyzed based on the actual seismic data and the logging interpretation results.By using the strong amplitude technique to identify gas reservoirs in the normal middle and deep layers,the factors affecting the seismic amplitude of shallow and ultra-shallow layers are analyzed through the forward modeling of superimposed sand bodies.The strong amplitude phenomenon combined with multi-attribute analysis technology is used to identify shallow and ultra-shallow gas reservoirs,which lays a foundation for shallow and ultra-shallow gas exploration in the South China Sea.

关 键 词：浅层\超浅层 叠置砂体 AVO响应 气藏识别 属性分析 

分 类 号：P618.13[天文地球—矿床学]