Combined migration velocity model-building and its application in tunnel seismic prediction
Combined migration velocity model-building and its application in tunnel seismic prediction
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DOI：
10.1007/s11770-010-0251-3
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发表时间：
2010-10
影响因子：
0.7
通讯作者：
X. Gong;Liguo Han;Jianwei Niu;Xiao-Pei Zhang;Deli Wang;Lijuan Du
中科院分区：
文献类型：
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作者：
X. Gong;Liguo Han;Jianwei Niu;Xiao-Pei Zhang;Deli Wang;Lijuan Du
提出了一种基于Kirchhoff积分偏移和逆时偏移的联合偏移速度分析成像方法，利用剩余曲率分析和分层剥离策略建立速度模型。该方法提高了克希霍夫积分偏移的成像分辨率，减少了逆时偏移的计算量。它结合了两种偏移方法的效率和精度的优点。该方法在隧道地震预报中的应用取得了良好的效果。数值实验表明，逆时偏移的成像结果在隧道预测的许多方面都优于克希霍夫积分偏移的成像结果。实际资料表明，该方法计算效率高，能建立合理的速度模型，获得高质量的成像剖面。结合地质信息可以对隧道前方地质构造做出准确的预测。
We propose a combined migration velocity analysis and imaging method based on Kirchhoff integral migration and reverse time migration, using the residual curvature analysis and layer stripping strategy to build the velocity model. This method improves the image resolution of Kirchhoff integral migration and reduces the computations of the reverse time migration. It combines the advantages of efficiency and accuracy of the two migration methods. Its application in tunnel seismic prediction shows good results. Numerical experiments show that the imaging results of reverse time migration are better than the imaging results of Kirchhoff integral migration in many aspects of tunnel prediction. Field data show that this method has efficient computations and can establish a reasonable velocity model and a high quality imaging section. Combination with geological information can make an accurate prediction of the front of the tunnel geological structure.