【摘要】 天然气水合物地震勘探的实际工作,需要在三维空间对天然气水合物矿体进行精细刻画,为此必须获得高分辨率的地震资料,而反褶积处理是提高地震资料分辨率的主要手段之一。本研究设计的改进子波反褶积算法,对地震记录的对数功率谱进行滤波,不但可有效识别BSR,同时可克服反射系数非白噪声的影响;采用谱间的互相关平均代替算术平均,可有效提高地震资料的分辨率;在提取子波的过程中,采用希尔伯特变换算法,提取子波简单、方便。通过对南海北部海域HS621测线的地震数据进行处理,证明该算法不但能稳定、清晰地追踪BSR,并且能有效地提高地震数据分辨率,满足天然气水合物地震资料精细处理的要求。更多还原

【Abstract】 The seismic prospecting of gas hydrate requires fine description to the gas hydrate ore-body in three-dimensional space.The high-resolution seismic data should be obtained,and deconvolution of seismic data processing is the primary means to improve resolution.On the basis of traditional wavelet deconvolution algorithm,we designed an improved wavelet deconvolution algorithm.By filtering of logarithmic power spectrum of seismic records,this algorithm could not only recognize BSR(Bottom Simulating Reflector) effectively,but also overcome the influence of non-white noise.The spectral cross-correlation average instead of arithmetic mean,can effectively improve the seismic data resolution.It is simple and convenient to extract wavelet by Hilbert transform algorithm.Seismic data of northern South China Sea line HS621 processing with improved wavelet deconvolution algorithm shows that the algorithm can not only track BSR stably and clearly,but also can effectively improve the seismic data resolution to meet the natural gas hydrate seismic data fine processing.更多还原