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Multi-waves, multi-component(MWMC) seismic data can provide more and more dependable estimation parameters for reservoir predication and reservoir description than P-wave data alone. Because these information, such as P- to S-wave velocity ratio, generated at the procedure of P-wave and convert-wave’s matching, the change of frequency spectrum and phase specturm, are important parameters for imaging, inversion and interpretation of multi-component seismic data, PP- and PS-waves’ matching plays a very important role in MWMC seismic exploration processing and interpretation.Artificial selection and log calibration methods originally are applied for matching PP- and PS-waves. Nowadays, Experts match PP- and PS-waves by least squares and multiple iterations method and dynamic time warping algorithm method. But so far, there are some problems when using PP- and PS-waves’ matching technology. First, in the process of PP-and PS-waves matching, because of the difference between PP-and PS-waves’ wavelet and spectrum characteristics, the amplitude and phase are distorted during the matching process. Second, PP-and PS-waves’ time matching maybe end with low accuracy problem, and these problems will seriously affect the joint interpretation and inversion of MWMC seismic data.To solve the above problems, based on DIW algorithm, this paper implemented a advanced high-precision method for the match of PP- and PS- waves. The method includes two steps. At the first step, we use the Dynamic Image Warping technology which is based on the warping window calculated by P- to S-wave velocity ratio and the maximum correlation coefficient criterion to match PP- and PS-waves directly. Then, at the second step, based on the initially warped PP- and warped PS-waves data and estimated P- to S- wave velocity ratio, PP- and warped PS- (or PS- and warped PP-) data are matched again with Dynamic Image Warping technology which is based on the Sakoe-Chiba Band warping window and maximum correlation coefficient criterion. And then this method will finally achieve a high precision. Our method is tested by using synthetic and field data from Xin Chang oil field. The results show that our method is effective and accurate in matching the PP- and PS- events, and could furthermore be applied to the seismic data with low signal-to-noise ratio or weak similarity in different components. In this paper, the main work is as follows:1. Dynamic Image Warping algorithm is used to obtain the tensile or compression time shifts, and with the time shifts, P- to S-wave velocity ratio is calculated to match PP and PS waves directly. This algorithm contains three steps. First, with 2-order symmetrical dynamic programming method, we compute the total alignment errors of the double-way travel time or one-way depth for PP- and PS-waves. Second, the warping window on total alignment errors is calculated with the maximum and minimum of the P- to S-wave velocity ratio to constraint the searching zone. We then search the optimal path within the warping window by using the recursive backtracking method. At last, a maximum correlation coefficient criterion is applied to determine the best warping path. We finally calculate time- or depth-shifts between PP- and PS- images and match PS to PP post-stack section with the best shifts or P- to S-wave velocity ratio calculated with the shifts.2. we first obtain time shifts by using Dynamic Image Warping algorithm which is based on the Sakoe-Chiba Band warping window and the maximum correlation criterion, and then, we implement the high precision fine matching of PP- and PS-waves and updated P- to S-wave velocity ratio with these time shifts. 

相比于单纯纵波，多分量地震数据能够为储层预测与油藏描述提供更多、更可靠的评价参数。其中，PP波与PS波在匹配过程中生成的纵横波速度比、频率、相位变化等信息是多分量地震数据的矢量偏移、多波地震数据联合解释与反演的基础。因此，PP波与PS波的层位匹配技术在多波多分量地震数据处理和解释上发挥着十分重要的作用。 PP波与PS波匹配最初采用人工拾取以及测井标定法进行匹配。近期，出现了以最小二乘和多次迭代法以及基于动态时间变形算法等方法来实现PP波与PS波的高精度匹配。但到目前为止，PP波与PS波匹配技术存在一些问题：1）在层位匹配过程中，由于PP波与PS波子波和频谱特征的差异，使得振幅与相位在匹配过程中产生畸变；2）单纯的PP波与PS波层位时间匹配后存在一定的精度问题。而低精度的匹配严重影响到了多波多分量的联合解释与反演。 针对上述问题，在DIW（Dynamic Image Warping，动态图像变形）算法的基础上，本文实现了一种适用于PP波与PS波高精度层位匹配方法。该方法包括直接匹配与精细匹配两个部分。在初次匹配时，采用DIW技术，并基于纵横波速度比变形窗与最大相关系数准则直接将PP波与PS波匹配。完成初次匹配后，在匹配后的PP波与PS波地震剖面以及估算的初始纵横波速度比基础上采用基于Sakoe-Chiba Band变形窗与最大相关系数判定准则的DIW技术将PP波与PS波再次精细匹配，最终实现PP波与PS波的高精度匹配。模型数据以及实际地震数据测试表明：本文的方法具有较高的匹配精度，且对于信噪比、相似度较低的多波地震数据也能产生较好的匹配效果。具体的研究内容与成果如下：1、采用DIW算法获得PP波与PS波层位匹配的拉伸或压缩时移量，根据时移量计算纵横波速度比实现PP波与PS波直接匹配。首先，使用2阶对称动态规划算法逐样点递归计算PP波与PS波旅行时或深度的误差累积和；其次，在以误差累积和为目标函数的回溯阶段设定变形窗，然后在纵横波速比约束的变形窗内递归回溯搜索匹配路径；最后，根据最大相关系数判定准则在匹配路径中确定最佳匹配路径，获得使PP波与PS波直接匹配的拉伸或压缩时移量，并计算初始纵横波速度比，完成PP波与PS波的初次层位匹配。2、在PP波与PS波初始层位匹配的基础上，采用基于Sakoe-Chiba Band变形窗以及最大相关性准则的DIW算法获得PP波与PS波精细匹配的拉伸或压缩时移量；根据时移量实现PP波与PS波精细匹配，并更新纵横波速度比。