AVO与流体替换相结合识别深层Ⅰ类气藏

传统的“亮点”技术适合检测Ⅲ类AVO含气异常,对于中、深层含气砂岩表现出来的Ⅰ类AVO现象无法识别。利用AVO技术,结合流体替换,寻找差异,运用G属性体,可以有效识别深层Ⅰ类AVO含气砂岩,利用这种方法预测了某油气田a主力气藏的分布。预测结果得到B井证实。     

Surface-Related Multiple Elimination on High-Resolution Geopulse Profile

A geopulse seismic system was implemented to obtain new information on underlying strata beneath the Yellow River Delta. However, owing to the shpping of sea floor and shallow water （ 〈 25 m）, free surface-related multiples are conflicted with the flat primaries, which may instruct the interpreters in a wrong way and make wrong conclusions. Owing to the variation of multiple periods, standard anti-multiple techniques may lose their power, such as predictive deconvolution. Surface-related multiple elimination methods are introduced to attenuate the multiples based on the underlying waveequation principles. The results justified the method on the single-channel geopulse profile, revealing the real nature of the subsurface.     

南黄海地震资料叠前有源干扰的自动识别与压制

南黄海海域油气勘探已经有近40年的历史，勘探区域各种地质条件以及商船等有源干扰严重影响采集资料的品质。针对有源干扰的特点，提出首先分析有源干扰波的频带特性及视速度范围，然后从地震记录中自动分离出线性干扰所在优势频带范围，按最小偏差标准确定最优视倾角，在时一空域前向后向预测规则噪声。这种有源干扰压制方法与传统方法相比，其优势在于能准确估算干扰波的倾角，进而将其彻底压制，对有效反射波没有伤害，使地震叠加剖面的质量得到改善。     

山地地震勘探采集方法研究

山地地表复杂多变，地下构造复杂，地层倾角较大，激发及接收条件差，常规的采集方法已不再适用，针对这一问题，对采集方法论证、观测系统设计、表层结构调查、激发和接收技术方法进行了研究。