【摘要】 为了证实地震波通频带以外高频信息在砂岩体预测中的有效性和应用价值,利用褶积模型分析了地震波的高频信息是精细描述砂岩地质体空间结构展布的基础;提出在最小限度地影响有效信号的条件下,利用Cur-velet变换进行地震数据噪声压制处理是地震资料处理流程中保留高频信息的关键环节和有效方法;采用具有自动调节时频聚集性能的自适应S变换,对经Curvelet变换噪声压制后的地震资料进行瞬时谱分解,可以获取高质量通频带以外与砂体厚度有密切关系的高频数据体,用于薄层砂岩体的精细预测。TH地区实际资料的处理结果表明,通频带以外高频端信息清晰地刻画了薄层砂体的边界和空间展布。更多还原

【Abstract】 In order to confirm the effectiveness and application value of high-frequency information outside of seismic wave pass band for sand body prediction,the convolution model was used to verify that seismic wave high-frequency is the basis of fine delineation of geological body spatial structure for sand body.De-noising processing is the key of retaining high-frequency information in the course of seismic data processing flow.We put forward the methods,which on the minimal impacting effective signal conditions,utilizing Curvelet transform that is characteristic by minimal overlap in Curvelet transform domain for effective signal and noise,attenuate noise and retain effective high-frequency components of seismic wave,and using the adjustable flexible and aggregation time-frequency properties of self-adapting S transform(SAST) to extract high-frequency information,obtaining high-quality single-frequency data for sand body prediction.The processing result on actual data in TH area showed along horizon lateral iso-frequency slices of high-frequency.Meanwhile,outside the pass band,the spatial distribution and boundary of the sand body was clearly depicted.更多还原