稀疏脉冲反演技术在井间地震反演中的应用

Application of sparse pulse inversion in crosswell seismic data

（1.中国石油大学地球资源与信息学院，山东东营 257061；2.中国石化胜利油田有限公司地质科学研究院，山东东营 257015）

Earth Resource and Information Institute, University of Petroleum, Dongying 257061, China

:将传统的波阻抗反演技术应用于井间地震资料反演时，存在着方法适用的域和资料的域不同、井间地震资料的频带比地震资料的频带宽以及频率比地震资料频率高、多对井间地震资料拼接等问题。为此，在胜利油田K71井区，探讨了利用传统波阻抗反演技术（稀疏脉冲反演）进行井间地震资料波阻抗反演的一些技术问题，并利用11对井间地震资料进行了波阻抗反演，获得了较好的反演结果。在井间地震资料反演中，采用匹配滤波方法对井间地震资料进行拼接，保证了连井剖面拼接段频率、相位和能量的一致性；建立深时转换模型，将深度域的井间地震资料转换到时间域；利用高分辨率地面三维地震资料，采用统计方法提取反演子波，子波的波形和相位较稳定，频带宽；对测井资料进行标准化处理，在反演的波阻抗剖面上砂体的空间展布形态清晰，对储层的描述更精细；利用时深转换模型，将时间域的波阻抗剖面转换到深度域，直接与测井资料进行对比分析，对储层的描述更直观可靠。

Application of the conventional impedance inversion to the crosswell seismic data has many problems which are 1) the domain suitable for method is different from the domain of data, 2) the frequency band of the crosswell data is wider than that of seismic data, 3) the frequency of the crosswell is higher than that of seismic data, and 4) the concatenation of crosswell seismic data is difficult. In the K71 well area of Shengli oilfield, the sparse pulse inversion was carried out to the crosswell seismic data and the technical matters arisen in this process were discussed. 11 crosswell seismic data were used in the impedance inversion and good inversion results obtained. In this process the matched filtering method was utilized to connect the crosswell seismic data to ensure the consistency of the crosswell section in frequency, phase and energy. Depth-time model was established to convert the crosswell data from depth to time and the wavelets were extracted from the high resolution seismic data by using statistic method. The result shows that the waveform and the phase of the wavelets are stable and the frequency band is broad. The well logging data was calibrated, indicating that the sand body distribution is clear in the impedance section and the reservoir is detailed described. Finally, the time-depth model was used to convert the impedance sections from time to depth. So the comparative analysis can be directly used to the well logging data to make the reservoir description more visual and reliable.